final_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 500)\n",
    "df = pd.read_excel(\"all_games.xlsx\")\n",
    "df['Shot Position'] = df['Shot Position'].str.strip()\n",
    "df['Shot Location'] = df['Shot Location'].str.strip()\n",
    "df.reset_index(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add a column to the dataframe to include the total-time of the 6 on 5\n",
    "def time_of_possession(df):\n",
    "    df[\"total_time\"] = (pd.to_datetime(df['Start Time'].astype(str)) - \n",
    "                    pd.to_datetime(df['End Time'].astype(str))).dt.seconds / 60\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = time_of_possession(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Number of Passes</th>\n",
       "      <th>Passing Sequence</th>\n",
       "      <th>Shooter Position</th>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th>Rebound</th>\n",
       "      <th>Goal</th>\n",
       "      <th>Block</th>\n",
       "      <th>Skip</th>\n",
       "      <th>Lob</th>\n",
       "      <th>Shot Position</th>\n",
       "      <th>Shot Location</th>\n",
       "      <th>Assisting Player Position</th>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th>Rotation Type</th>\n",
       "      <th>Timeout</th>\n",
       "      <th>Team</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Quarter</th>\n",
       "      <th>Start Time</th>\n",
       "      <th>End Time</th>\n",
       "      <th>Dropped Ball</th>\n",
       "      <th>Kickout Position</th>\n",
       "      <th>End 3-3</th>\n",
       "      <th>5m</th>\n",
       "      <th>Link to Play</th>\n",
       "      <th>Shooter Number</th>\n",
       "      <th>Assisting Player Number</th>\n",
       "      <th>total_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>[1, 4, 5, 6, 5, 6, 5, 1, 4, 6, 2]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6_in</td>\n",
       "      <td>0</td>\n",
       "      <td>AN Brescia</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>07:17:00</td>\n",
       "      <td>06:58:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=281</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[3, 4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>04:40:00</td>\n",
       "      <td>04:37:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=475</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>13.0</td>\n",
       "      <td>[4, 6, 4, 5, 1, 5, 6, 5, 4, 1, 5, 1, 5, 6]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>6_in, 1_pocket, 5_center</td>\n",
       "      <td>1</td>\n",
       "      <td>AN Brescia</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>02:24:00</td>\n",
       "      <td>02:04:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=744</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[4, 1, 4, 6, 5, 6, 4,1, 4, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_pocket, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>05:03:00</td>\n",
       "      <td>04:44:00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=1334</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>10.0</td>\n",
       "      <td>[5, 4, 6, 5, 4, 5, 6, 5, 4, 1, 5]</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field_player</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>AN Brescia</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>04:16:00</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=1436</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[4, 2, 4, 6, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2_pop, 5_in, 1_pocket</td>\n",
       "      <td>1</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>01:41:00</td>\n",
       "      <td>01:18:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=1655</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[5, 4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>00:59:00</td>\n",
       "      <td>00:53:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=1783</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[2, 4, 5, 6, 5, 4, 1, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6_pocket, 3_in</td>\n",
       "      <td>0</td>\n",
       "      <td>AN Brescia</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>07:23:00</td>\n",
       "      <td>07:05:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=2030</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[1, 4, 6, 5, 1, 4, 6, 4, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>06:39:00</td>\n",
       "      <td>06:19:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=2087</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>[6, 5, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>05:54:00</td>\n",
       "      <td>05:44:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=2142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[5, 4, 5, 4, 6, 5, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>03:48:00</td>\n",
       "      <td>03:31:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=2446</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[5, 4, 6, 5, 4, 5, 1, 4, 5, 6]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>6_in, 4_center, 1_in</td>\n",
       "      <td>0</td>\n",
       "      <td>AN Brescia</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>02:39:00</td>\n",
       "      <td>02:15:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=2534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[3, 5, 4, 1, 4, 5, 6, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center, 6_in, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>04:19:00</td>\n",
       "      <td>04:02:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=3364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[5, 4, 1, 4, 6, 4, 2]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>1_in, 4_wide, 5_center, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolonki VSC</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>03:15:00</td>\n",
       "      <td>02:58:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/NxeNwYt8FS8?t=3493</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[5,4,1,5,6,1,5,4,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>center</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>04:49:00</td>\n",
       "      <td>04:27:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[3,5,6,4,1,6,5,4,5,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Jug</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>04:15:00</td>\n",
       "      <td>03:58:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[4,5,6,5,4,1,6,5,4,3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 6_in, 1_in, 3_in</td>\n",
       "      <td>1</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>00:47:00</td>\n",
       "      <td>00:25:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[1,4,5,1,4,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>06:33:00</td>\n",
       "      <td>06:14:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[1,4,5,6,4,6,5,6,4,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 5_center, 6_in, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>03:02:00</td>\n",
       "      <td>02:40:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[4,1,4,6,5,4,6,4,5]</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>center</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center</td>\n",
       "      <td>1</td>\n",
       "      <td>Jug</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>02:13:00</td>\n",
       "      <td>01:54:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[5,4,6,1,5,6,4,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 5_center, 6_in</td>\n",
       "      <td>1</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>00:34:00</td>\n",
       "      <td>00:12:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[4,5,4,6,4,6,1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>right</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>06:09:00</td>\n",
       "      <td>05:43:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8</td>\n",
       "      <td>11.0</td>\n",
       "      <td>[2,1,4,5,1,6,4,5,6,1,5,6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5_center, 1_in, 3_pop, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Jug</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>05:14:00</td>\n",
       "      <td>04:50:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[5,6,5,4,6,5,4,6]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>4_center, 6_in, 1_pocket</td>\n",
       "      <td>1</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>03:55:00</td>\n",
       "      <td>03:36:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[4,5,6,5,4,6,5,4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>05:40:00</td>\n",
       "      <td>05:20:00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[2,1,6,1,5,6,4,6,1,4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>left</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 5_center, 6_pocket, 1_in</td>\n",
       "      <td>0</td>\n",
       "      <td>Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>05:06:00</td>\n",
       "      <td>04:47:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[5,6,4,6,5,4,5]</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 1_pocket</td>\n",
       "      <td>1</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>01:28:00</td>\n",
       "      <td>01:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[4,6,4,1,6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 5_center, 6_pocket</td>\n",
       "      <td>1</td>\n",
       "      <td>Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>04:45:00</td>\n",
       "      <td>04:43:00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>[6,1,4,2]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 5_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>04:13:00</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>[4,1,4,5,6,5,1,4,5,6]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>1_in, 5_center, 2_pop, 6_in, 3_pop, 1_pocket</td>\n",
       "      <td>1</td>\n",
       "      <td>Barceloneta</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>01:37:00</td>\n",
       "      <td>01:13:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[3, 4, 1, 6, 5, 2]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>bottom</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_pocket, 5_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>03:34:00</td>\n",
       "      <td>03:18:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=2399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[6, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>left</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Spandau 04</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>00:14:00</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=2684</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>11</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[6, 5, 6, 5, 4, 1, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>06:33:00</td>\n",
       "      <td>06:15:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=2964</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>12</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[5, 6, 1, 4, 5, 6, 5, 4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>high</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_in, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Spandau 04</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>05:18:00</td>\n",
       "      <td>04:59:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=3111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[4, 5, 6, 5, 1, 4, 6]</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>6_in, 4_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Spandau 04</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>03:39:00</td>\n",
       "      <td>03:17:00</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=3253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>14</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[6, 4, 1, 4, 6, 5, 4, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>center</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>01:21:00</td>\n",
       "      <td>01:07:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=3519</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>15</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[5, 6, 1, 4, 5, 2]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>6_in, 4_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Spandau 04</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>00:08:00</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/F8QCXU4FRdw?t=3627</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[6, 4, 1, 4, 1, 6, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>05:57:00</td>\n",
       "      <td>05:41:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=693</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>[6, 4, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>5_center, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>05:41:00</td>\n",
       "      <td>05:34:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=727</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[5, 1, 6, 4, 6, 4]</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>right</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center, 2_pop</td>\n",
       "      <td>1</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>03:32:00</td>\n",
       "      <td>03:18:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=988</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>[1, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>center</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>03:15:00</td>\n",
       "      <td>03:07:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1003</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>[4, 6, 4, 1, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>01:45:00</td>\n",
       "      <td>01:24:00</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1107</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[5, 6, 4, 6, 5, 6, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>07:14:00</td>\n",
       "      <td>06:54:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1516</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>[6, 5, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field_player</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>06:53:00</td>\n",
       "      <td>06:49:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1540</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[5, 6, 1, 4, 6, 5, 4, 1, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket, 4_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>06:28:00</td>\n",
       "      <td>06:08:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1650</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[1, 4, 6, 5, 1, 4, 6, 5, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 3_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>04:08:00</td>\n",
       "      <td>03:47:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1820</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>9</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[6, 4, 5, 4, 1, 4, 6, 5, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1_in, 6_pocket, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>02:45:00</td>\n",
       "      <td>02:30:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=1969</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[4, 5, 6, 5, 4, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 5_center, 3_pop</td>\n",
       "      <td>1</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>02:11:00</td>\n",
       "      <td>01:54:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=2014</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[4, 1, 5, 6, 5, 4, 1, 6, 5, 2]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>not_on_cage</td>\n",
       "      <td>center</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>5_center, 3_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>01:22:00</td>\n",
       "      <td>01:04:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=2143</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>12</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[6, 4, 6, 5, 4, 2, 6, 5]</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>field_player</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>right</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>06:03:00</td>\n",
       "      <td>05:44:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=2766</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>13</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[5, 4, 6, 5, 4, 1, 4, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>center</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center, 2_pop</td>\n",
       "      <td>1</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>04:45:00</td>\n",
       "      <td>04:29:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=2925</td>\n",
       "      <td>11</td>\n",
       "      <td>3</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>14</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[5, 4, 2, 6, 5, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>middle</td>\n",
       "      <td>left</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center, 6_in</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>04:20:00</td>\n",
       "      <td>04:04:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3345</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>15</td>\n",
       "      <td>7.0</td>\n",
       "      <td>[4, 6, 5, 1, 6, 5, 4, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket, 4_center, 6_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>01:11:00</td>\n",
       "      <td>00:53:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3345</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>16</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[6, 4, 1, 4, 2, 5, 4, 6, 4, 2]</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket, 4_center, 2_pop</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>00:42:00</td>\n",
       "      <td>00:21:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3423</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>[4, 1, 6, 5, 6, 4, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6_pocket, 5_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>06:51:00</td>\n",
       "      <td>06:32:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3755</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>[6, 5, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>goalie</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>left</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>06:14:00</td>\n",
       "      <td>06:05:00</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3822</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>19</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[1, 4, 6, 4, 1, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>ZF Eger</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>06:05:00</td>\n",
       "      <td>05:52:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=3845</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>20</td>\n",
       "      <td>8.0</td>\n",
       "      <td>[5, 6, 5, 4, 1, 6, 5, 4, 1]</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>high</td>\n",
       "      <td>center</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>04:12:00</td>\n",
       "      <td>03:50:00</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=4065</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>21</td>\n",
       "      <td>5.0</td>\n",
       "      <td>[5, 6, 4, 6, 1, 3]</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4_center, 6_pocket, 1_in</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>03:13:00</td>\n",
       "      <td>02:47:00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=4165</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>22</td>\n",
       "      <td>9.0</td>\n",
       "      <td>[4, 6, 5, 1, 4, 6, 5, 4, 1, 6]</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>none</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>low</td>\n",
       "      <td>right</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6_in, 4_center, 1_pocket</td>\n",
       "      <td>0</td>\n",
       "      <td>Szolnoki VSC</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>01:58:00</td>\n",
       "      <td>01:32:00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://youtu.be/162be27-zQA?t=4375</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>222 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index  Number of Passes                            Passing Sequence  \\\n",
       "0        0              10.0           [1, 4, 5, 6, 5, 6, 5, 1, 4, 6, 2]   \n",
       "1        1               1.0                                      [3, 4]   \n",
       "2        2              13.0  [4, 6, 4, 5, 1, 5, 6, 5, 4, 1, 5, 1, 5, 6]   \n",
       "3        3               9.0               [4, 1, 4, 6, 5, 6, 4,1, 4, 6]   \n",
       "4        4              10.0           [5, 4, 6, 5, 4, 5, 6, 5, 4, 1, 5]   \n",
       "5        5               4.0                             [4, 2, 4, 6, 1]   \n",
       "6        6               1.0                                      [5, 4]   \n",
       "7        7               7.0                    [2, 4, 5, 6, 5, 4, 1, 3]   \n",
       "8        8               8.0                 [1, 4, 6, 5, 1, 4, 6, 4, 6]   \n",
       "9        9               3.0                                [6, 5, 4, 1]   \n",
       "10      10               7.0                    [5, 4, 5, 4, 6, 5, 4, 1]   \n",
       "11      11               9.0              [5, 4, 6, 5, 4, 5, 1, 4, 5, 6]   \n",
       "12      12               7.0                    [3, 5, 4, 1, 4, 5, 6, 1]   \n",
       "13      13               6.0                       [5, 4, 1, 4, 6, 4, 2]   \n",
       "14       0               8.0                         [5,4,1,5,6,1,5,4,1]   \n",
       "15       1               9.0                       [3,5,6,4,1,6,5,4,5,1]   \n",
       "16       2               9.0                       [4,5,6,5,4,1,6,5,4,3]   \n",
       "17       3               5.0                               [1,4,5,1,4,1]   \n",
       "18       4               9.0                       [1,4,5,6,4,6,5,6,4,1]   \n",
       "19       5               8.0                         [4,1,4,6,5,4,6,4,5]   \n",
       "20       6               7.0                           [5,4,6,1,5,6,4,1]   \n",
       "21       7               6.0                             [4,5,4,6,4,6,1]   \n",
       "22       8              11.0                   [2,1,4,5,1,6,4,5,6,1,5,6]   \n",
       "23       9               7.0                           [5,6,5,4,6,5,4,6]   \n",
       "24       0               7.0                           [4,5,6,5,4,6,5,4]   \n",
       "25       1               9.0                       [2,1,6,1,5,6,4,6,1,4]   \n",
       "26       2               6.0                             [5,6,4,6,5,4,5]   \n",
       "27       3               4.0                                 [4,6,4,1,6]   \n",
       "28       4               3.0                                   [6,1,4,2]   \n",
       "29       5              10.0                       [4,1,4,5,6,5,1,4,5,6]   \n",
       "..     ...               ...                                         ...   \n",
       "192      9               5.0                          [3, 4, 1, 6, 5, 2]   \n",
       "193     10               1.0                                      [6, 1]   \n",
       "194     11               6.0                       [6, 5, 6, 5, 4, 1, 3]   \n",
       "195     12               7.0                    [5, 6, 1, 4, 5, 6, 5, 4]   \n",
       "196     13               6.0                       [4, 5, 6, 5, 1, 4, 6]   \n",
       "197     14               7.0                    [6, 4, 1, 4, 6, 5, 4, 3]   \n",
       "198     15               5.0                          [5, 6, 1, 4, 5, 2]   \n",
       "199      0               7.0                    [6, 4, 1, 4, 1, 6, 4, 1]   \n",
       "200      1               2.0                                   [6, 4, 6]   \n",
       "201      2               5.0                          [5, 1, 6, 4, 6, 4]   \n",
       "202      3               2.0                                   [1, 4, 1]   \n",
       "203      4               4.0                             [4, 6, 4, 1, 6]   \n",
       "204      5               6.0                       [5, 6, 4, 6, 5, 6, 1]   \n",
       "205      6               2.0                                   [6, 5, 6]   \n",
       "206      7               8.0                 [5, 6, 1, 4, 6, 5, 4, 1, 6]   \n",
       "207      8               8.0                 [1, 4, 6, 5, 1, 4, 6, 5, 3]   \n",
       "208      9               8.0                 [6, 4, 5, 4, 1, 4, 6, 5, 6]   \n",
       "209     10               5.0                          [4, 5, 6, 5, 4, 3]   \n",
       "210     11               9.0              [4, 1, 5, 6, 5, 4, 1, 6, 5, 2]   \n",
       "211     12               7.0                    [6, 4, 6, 5, 4, 2, 6, 5]   \n",
       "212     13               7.0                    [5, 4, 6, 5, 4, 1, 4, 3]   \n",
       "213     14               6.0                       [5, 4, 2, 6, 5, 4, 1]   \n",
       "214     15               7.0                    [4, 6, 5, 1, 6, 5, 4, 6]   \n",
       "215     16               9.0              [6, 4, 1, 4, 2, 5, 4, 6, 4, 2]   \n",
       "216     17               6.0                       [4, 1, 6, 5, 6, 4, 6]   \n",
       "217     18               2.0                                   [6, 5, 6]   \n",
       "218     19               5.0                          [1, 4, 6, 4, 1, 6]   \n",
       "219     20               8.0                 [5, 6, 5, 4, 1, 6, 5, 4, 1]   \n",
       "220     21               5.0                          [5, 6, 4, 6, 1, 3]   \n",
       "221     22               9.0              [4, 6, 5, 1, 4, 6, 5, 4, 1, 6]   \n",
       "\n",
       "    Shooter Position Shooter Hand  Rebound  Goal         Block  Skip  Lob  \\\n",
       "0                  2            1      0.0     1          none     1    0   \n",
       "1                  4            1      0.0     1          none     1    0   \n",
       "2               none         none      0.0     0          none     0    0   \n",
       "3                  6            0      0.0     1          none     1    0   \n",
       "4                  5            0      1.0     0  field_player     0    0   \n",
       "5                  1            1      0.0     0        goalie     1    0   \n",
       "6                  4            1      0.0     0          none     0    0   \n",
       "7                  3            1      0.0     0          none     1    0   \n",
       "8                  6            0      1.0     0        goalie     0    0   \n",
       "9                  1            1      0.0     1          none     1    0   \n",
       "10                 1            1      0.0     0        goalie     0    0   \n",
       "11              none         none      0.0     0          none     0    0   \n",
       "12                 1            1      0.0     1          none     0    0   \n",
       "13              none         none      0.0     0          none     0    0   \n",
       "14                 1            1      0.0     1          none     0    0   \n",
       "15                 1            1      0.0     0         field     0    0   \n",
       "16                 3            1      0.0     0          none     0    0   \n",
       "17                 1            1      0.0     1          none     1    0   \n",
       "18                 1            1      0.0     1          none     1    0   \n",
       "19                 5            0      1.0     1          none     1    0   \n",
       "20                 1            1      0.0     0         field     0    0   \n",
       "21                 1            1      0.0     0          none     0    0   \n",
       "22                 6            1      0.0     0         field     0    0   \n",
       "23              none         none      0.0     0          none     0    0   \n",
       "24                 4            1      0.0     1          none     0    0   \n",
       "25                 4            1      0.0     0        goalie     0    0   \n",
       "26                 5            0      0.0     0          none     0    0   \n",
       "27                 6            1      0.0     1          none     1    0   \n",
       "28                 2            1      0.0     1          none     0    0   \n",
       "29              none         none      0.0     0          none     0    0   \n",
       "..               ...          ...      ...   ...           ...   ...  ...   \n",
       "192                1            1      0.0     0        goalie     1    0   \n",
       "193                1            1      0.0     0        goalie     0    0   \n",
       "194                3            1      0.0     1          none     0    0   \n",
       "195                4            1      0.0     1          none     1    0   \n",
       "196             none         none      0.0     0          none     0    0   \n",
       "197                3            1      0.0     1          none     0    0   \n",
       "198                2            1      0.0     1          none     0    0   \n",
       "199                1            1      0.0     0        goalie     1    0   \n",
       "200                6            0      1.0     0          none     1    0   \n",
       "201                4            1      0.0     0        goalie     0    0   \n",
       "202                1            1      1.0     0        goalie     1    0   \n",
       "203                6            1      0.0     1          none     0    0   \n",
       "204                1            1      0.0     0          none     1    0   \n",
       "205                6            1      1.0     0  field_player     0    0   \n",
       "206                6            1      0.0     0        goalie     1    0   \n",
       "207                3            1      0.0     1          none     0    0   \n",
       "208                6            0      0.0     0          none     0    0   \n",
       "209                3            1      0.0     0        goalie     1    0   \n",
       "210                2            1      0.0     0          none     0    0   \n",
       "211                5            1      0.0     0  field_player     0    0   \n",
       "212                3            1      0.0     1          none     0    0   \n",
       "213                1            1      0.0     1          none     0    0   \n",
       "214                6            1      0.0     1          none     1    0   \n",
       "215                2            1      0.0     1          none     1    0   \n",
       "216                6            0      0.0     0        goalie     0    0   \n",
       "217                6            1      0.0     0        goalie     1    0   \n",
       "218                6            1      1.0     1          none     1    0   \n",
       "219                1            1      0.0     1          none     0    0   \n",
       "220                3            1      0.0     0          none     0    0   \n",
       "221                6            0      0.0     1          none     1    0   \n",
       "\n",
       "    Shot Position Shot Location Assisting Player Position  \\\n",
       "0             low          left                         6   \n",
       "1             low          left                         3   \n",
       "2            none          none                      none   \n",
       "3             low          left                         4   \n",
       "4            high         right                         1   \n",
       "5             low          left                         6   \n",
       "6            high         right                         5   \n",
       "7             low         right                         1   \n",
       "8          middle          left                         4   \n",
       "9             low          left                         4   \n",
       "10            low          left                         4   \n",
       "11           none          none                      none   \n",
       "12           high         right                         6   \n",
       "13           none          none                      none   \n",
       "14           high        center                         4   \n",
       "15           high          left                         5   \n",
       "16    not_on_cage         right                         4   \n",
       "17           high          left                         4   \n",
       "18            low          left                         4   \n",
       "19            low        center                         4   \n",
       "20           none          none                         4   \n",
       "21    not_on_cage         right                         6   \n",
       "22           none          none                         5   \n",
       "23           none          none                      none   \n",
       "24           high         right                         5   \n",
       "25           high          left                         1   \n",
       "26         middle   not_on_cage                         4   \n",
       "27            low         right                         1   \n",
       "28           high         right                         4   \n",
       "29           none          none                      none   \n",
       "..            ...           ...                       ...   \n",
       "192        bottom          left                         5   \n",
       "193        middle          left                         6   \n",
       "194          high         right                         1   \n",
       "195        middle          high                         6   \n",
       "196          none          none                      none   \n",
       "197          high        center                         4   \n",
       "198          high          left                         5   \n",
       "199           low         right                         4   \n",
       "200           low   not_on_cage                         4   \n",
       "201        middle         right                         6   \n",
       "202        middle        center                         5   \n",
       "203          high         right                         1   \n",
       "204        middle   not_on_cage                         6   \n",
       "205        middle         right                         4   \n",
       "206           low         right                         1   \n",
       "207           low          left                         5   \n",
       "208   not_on_cage          left                         5   \n",
       "209           low         right                         4   \n",
       "210   not_on_cage        center                         5   \n",
       "211          high         right                         6   \n",
       "212        middle        center                         4   \n",
       "213        middle          left                         4   \n",
       "214           low         right                         4   \n",
       "215           low         right                         4   \n",
       "216          high          left                         5   \n",
       "217           low          left                         5   \n",
       "218           low         right                         1   \n",
       "219          high        center                         4   \n",
       "220          none          none                         1   \n",
       "221           low         right                         1   \n",
       "\n",
       "    Assisting Player Hand                                 Rotation Type  \\\n",
       "0                       0                                          6_in   \n",
       "1                       1                                          none   \n",
       "2                    none                      6_in, 1_pocket, 5_center   \n",
       "3                       1                      1_in, 6_pocket, 5_center   \n",
       "4                       1                                1_in, 5_center   \n",
       "5                       0                         2_pop, 5_in, 1_pocket   \n",
       "6                       1                                      4_center   \n",
       "7                       1                                6_pocket, 3_in   \n",
       "8                       1                                1_in, 6_pocket   \n",
       "9                       1                                6_in, 1_pocket   \n",
       "10                      1                      6_in, 4_center, 1_pocket   \n",
       "11                   none                          6_in, 4_center, 1_in   \n",
       "12                      1                      4_center, 6_in, 1_pocket   \n",
       "13                   none              1_in, 4_wide, 5_center, 6_pocket   \n",
       "14                      1                                6_in, 1_pocket   \n",
       "15                      1                         6_in, 4_center, 2_pop   \n",
       "16                      1                        6_in, 6_in, 1_in, 3_in   \n",
       "17                      1                                          none   \n",
       "18                      1                   6_in, 5_center, 6_in, 2_pop   \n",
       "19                      1                                6_in, 4_center   \n",
       "20                      1                          6_in, 5_center, 6_in   \n",
       "21                      1                      6_in, 4_center, 1_pocket   \n",
       "22                      1               5_center, 1_in, 3_pop, 6_pocket   \n",
       "23                   none                      4_center, 6_in, 1_pocket   \n",
       "24                      1                      6_in, 4_center, 1_pocket   \n",
       "25                      1                1_in, 5_center, 6_pocket, 1_in   \n",
       "26                      1                                6_in, 1_pocket   \n",
       "27                      1                      1_in, 5_center, 6_pocket   \n",
       "28                      1                         1_in, 5_center, 2_pop   \n",
       "29                   none  1_in, 5_center, 2_pop, 6_in, 3_pop, 1_pocket   \n",
       "..                    ...                                           ...   \n",
       "192                     1               1_in, 6_pocket, 5_center, 2_pop   \n",
       "193                     1                                      1_pocket   \n",
       "194                     1                                6_in, 1_pocket   \n",
       "195                     1                          1_in, 6_in, 5_center   \n",
       "196                  none                                6_in, 4_center   \n",
       "197                     1                                6_in, 4_center   \n",
       "198                     0                         6_in, 4_center, 2_pop   \n",
       "199                     1                            1_pocket, 5_center   \n",
       "200                     1                            5_center, 6_pocket   \n",
       "201                     1                               4_center, 2_pop   \n",
       "202                     1                                          none   \n",
       "203                     1                                1_in, 6_pocket   \n",
       "204                     1                                6_in, 1_pocket   \n",
       "205                     1                                      6_pocket   \n",
       "206                     1                            1_pocket, 4_center   \n",
       "207                     1                         6_in, 4_center, 3_pop   \n",
       "208                     1                      1_in, 6_pocket, 5_center   \n",
       "209                     1                         6_in, 5_center, 3_pop   \n",
       "210                     1                               5_center, 3_pop   \n",
       "211                     1                         6_in, 4_center, 2_pop   \n",
       "212                     1                               4_center, 2_pop   \n",
       "213                     1                                4_center, 6_in   \n",
       "214                     1                  1_pocket, 4_center, 6_pocket   \n",
       "215                     1                     1_pocket, 4_center, 2_pop   \n",
       "216                     1                            6_pocket, 5_center   \n",
       "217                     1                                          none   \n",
       "218                     1                                      1_pocket   \n",
       "219                     1                                6_in, 4_center   \n",
       "220                     1                      4_center, 6_pocket, 1_in   \n",
       "221                     1                      6_in, 4_center, 1_pocket   \n",
       "\n",
       "     Timeout          Team  Turnover  Quarter Start Time  End Time  \\\n",
       "0          0    AN Brescia         0        1   07:17:00  06:58:00   \n",
       "1          0  Szolonki VSC         0        1   04:40:00  04:37:00   \n",
       "2          1    AN Brescia         1        1   02:24:00  02:04:00   \n",
       "3          0  Szolonki VSC         0        2   05:03:00  04:44:00   \n",
       "4          0    AN Brescia         0        2   04:16:00  04:00:00   \n",
       "5          1  Szolonki VSC         0        2   01:41:00  01:18:00   \n",
       "6          0  Szolonki VSC         0        2   00:59:00  00:53:00   \n",
       "7          0    AN Brescia         0        3   07:23:00  07:05:00   \n",
       "8          0  Szolonki VSC         0        3   06:39:00  06:19:00   \n",
       "9          0  Szolonki VSC         0        3   05:54:00  05:44:00   \n",
       "10         0  Szolonki VSC         0        3   03:48:00  03:31:00   \n",
       "11         0    AN Brescia         1        3   02:39:00  02:15:00   \n",
       "12         0  Szolonki VSC         0        4   04:19:00  04:02:00   \n",
       "13         0  Szolonki VSC         1        4   03:15:00  02:58:00   \n",
       "14         0   Barceloneta         0        1   04:49:00  04:27:00   \n",
       "15         0           Jug         0        1   04:15:00  03:58:00   \n",
       "16         1   Barceloneta         0        1   00:47:00  00:25:00   \n",
       "17         0   Barceloneta         0        2   06:33:00  06:14:00   \n",
       "18         0   Barceloneta         0        2   03:02:00  02:40:00   \n",
       "19         1           Jug         0        2   02:13:00  01:54:00   \n",
       "20         1   Barceloneta         0        2   00:34:00  00:12:00   \n",
       "21         0   Barceloneta         0        4   06:09:00  05:43:00   \n",
       "22         0           Jug         0        4   05:14:00  04:50:00   \n",
       "23         1   Barceloneta         1        4   03:55:00  03:36:00   \n",
       "24         0   Barceloneta         0        1   05:40:00  05:20:00   \n",
       "25         0          Eger         0        1   05:06:00  04:47:00   \n",
       "26         1   Barceloneta         0        1   01:28:00  01:08:00   \n",
       "27         1          Eger         0        2   04:45:00  04:43:00   \n",
       "28         0   Barceloneta         0        2   04:13:00  04:00:00   \n",
       "29         1   Barceloneta         1        2   01:37:00  01:13:00   \n",
       "..       ...           ...       ...      ...        ...       ...   \n",
       "192        0       ZF Eger         0        3   03:34:00  03:18:00   \n",
       "193        0    Spandau 04         0        3   00:14:00  00:00:00   \n",
       "194        0       ZF Eger         0        4   06:33:00  06:15:00   \n",
       "195        0    Spandau 04         0        4   05:18:00  04:59:00   \n",
       "196        0    Spandau 04         0        4   03:39:00  03:17:00   \n",
       "197        0       ZF Eger         0        4   01:21:00  01:07:00   \n",
       "198        0    Spandau 04         0        4   00:08:00  00:00:00   \n",
       "199        0  Szolnoki VSC         0        1   05:57:00  05:41:00   \n",
       "200        0  Szolnoki VSC         0        1   05:41:00  05:34:00   \n",
       "201        1       ZF Eger         0        1   03:32:00  03:18:00   \n",
       "202        0       ZF Eger         0        1   03:15:00  03:07:00   \n",
       "203        0       ZF Eger         0        1   01:45:00  01:24:00   \n",
       "204        0       ZF Eger         0        2   07:14:00  06:54:00   \n",
       "205        0       ZF Eger         0        2   06:53:00  06:49:00   \n",
       "206        0  Szolnoki VSC         0        2   06:28:00  06:08:00   \n",
       "207        0  Szolnoki VSC         0        2   04:08:00  03:47:00   \n",
       "208        0  Szolnoki VSC         0        2   02:45:00  02:30:00   \n",
       "209        1       ZF Eger         0        2   02:11:00  01:54:00   \n",
       "210        0       ZF Eger         0        2   01:22:00  01:04:00   \n",
       "211        0       ZF Eger         0        3   06:03:00  05:44:00   \n",
       "212        1       ZF Eger         0        3   04:45:00  04:29:00   \n",
       "213        0  Szolnoki VSC         0        3   04:20:00  04:04:00   \n",
       "214        0       ZF Eger         0        3   01:11:00  00:53:00   \n",
       "215        0  Szolnoki VSC         0        3   00:42:00  00:21:00   \n",
       "216        0  Szolnoki VSC         0        4   06:51:00  06:32:00   \n",
       "217        0       ZF Eger         0        4   06:14:00  06:05:00   \n",
       "218        0       ZF Eger         0        4   06:05:00  05:52:00   \n",
       "219        0  Szolnoki VSC         0        4   04:12:00  03:50:00   \n",
       "220        0  Szolnoki VSC         1        4   03:13:00  02:47:00   \n",
       "221        0  Szolnoki VSC         0        4   01:58:00  01:32:00   \n",
       "\n",
       "     Dropped Ball  Kickout Position  End 3-3  5m  \\\n",
       "0               4                 0        0   0   \n",
       "1               0                 0        0   0   \n",
       "2               3                 0        0   0   \n",
       "3               0                 1        0   0   \n",
       "4               1                 0        0   0   \n",
       "5               2                 0        1   0   \n",
       "6               0                 0        0   0   \n",
       "7               1                 0        0   0   \n",
       "8               2                 0        1   0   \n",
       "9               1                 0        0   0   \n",
       "10              0                 0        0   0   \n",
       "11              1                 0        0   0   \n",
       "12              1                 0        0   0   \n",
       "13              0                 0        1   0   \n",
       "14              0                 0        0   0   \n",
       "15              0                 0        0   0   \n",
       "16              0                 0        0   0   \n",
       "17              0                 0        0   0   \n",
       "18              1                 0        0   0   \n",
       "19              0                 0        0   0   \n",
       "20              2                 0        0   0   \n",
       "21              0                 0        0   0   \n",
       "22              4                 0        0   0   \n",
       "23              1                 1        0   0   \n",
       "24              0                 1        0   0   \n",
       "25              0                 0        0   0   \n",
       "26              0                 0        0   0   \n",
       "27              0                 1        0   0   \n",
       "28              0                 0        0   0   \n",
       "29              2                 0        0   0   \n",
       "..            ...               ...      ...  ..   \n",
       "192             1                 0        0   0   \n",
       "193             0                 1        0   0   \n",
       "194             2                 0        1   0   \n",
       "195             0                 0        0   0   \n",
       "196             3                 1        0   0   \n",
       "197             0                 0        0   0   \n",
       "198             0                 1        0   0   \n",
       "199             0                 0        0   0   \n",
       "200             0                 0        0   0   \n",
       "201             0                 0        0   0   \n",
       "202             1                 0        0   0   \n",
       "203             3                 1        0   0   \n",
       "204             2                 0        0   0   \n",
       "205             1                 0        0   0   \n",
       "206             0                 0        0   0   \n",
       "207             1                 1        1   0   \n",
       "208             0                 0        1   0   \n",
       "209             1                 0        0   0   \n",
       "210             3                 0        0   0   \n",
       "211             0                 0        0   0   \n",
       "212             1                 0        0   0   \n",
       "213             1                 0        0   0   \n",
       "214             2                 0        0   0   \n",
       "215             1                 0        0   0   \n",
       "216             0                 0        0   0   \n",
       "217             1                 1        0   0   \n",
       "218             1                 0        0   0   \n",
       "219             3                 1        0   0   \n",
       "220             2                 1        0   0   \n",
       "221             2                 1        0   0   \n",
       "\n",
       "                                          Link to Play Shooter Number  \\\n",
       "0                   https://youtu.be/NxeNwYt8FS8?t=281            NaN   \n",
       "1                   https://youtu.be/NxeNwYt8FS8?t=475            NaN   \n",
       "2                   https://youtu.be/NxeNwYt8FS8?t=744            NaN   \n",
       "3                  https://youtu.be/NxeNwYt8FS8?t=1334            NaN   \n",
       "4                  https://youtu.be/NxeNwYt8FS8?t=1436            NaN   \n",
       "5                  https://youtu.be/NxeNwYt8FS8?t=1655            NaN   \n",
       "6                  https://youtu.be/NxeNwYt8FS8?t=1783            NaN   \n",
       "7                  https://youtu.be/NxeNwYt8FS8?t=2030            NaN   \n",
       "8                  https://youtu.be/NxeNwYt8FS8?t=2087            NaN   \n",
       "9                  https://youtu.be/NxeNwYt8FS8?t=2142            NaN   \n",
       "10                 https://youtu.be/NxeNwYt8FS8?t=2446            NaN   \n",
       "11                 https://youtu.be/NxeNwYt8FS8?t=2534            NaN   \n",
       "12                 https://youtu.be/NxeNwYt8FS8?t=3364            NaN   \n",
       "13                 https://youtu.be/NxeNwYt8FS8?t=3493            NaN   \n",
       "14   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "15   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "16   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "17   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "18   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "19   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "20   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "21   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "22   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "23   https://youtu.be/SGDr-c0eIG0?list=PLM0Gdq8tevj...            NaN   \n",
       "24   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...             10   \n",
       "25   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...              3   \n",
       "26   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...             11   \n",
       "27   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...             10   \n",
       "28   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...              4   \n",
       "29   https://youtu.be/0P1205m6a2c?list=PLM0Gdq8tevj...           none   \n",
       "..                                                 ...            ...   \n",
       "192                https://youtu.be/F8QCXU4FRdw?t=2399            NaN   \n",
       "193                https://youtu.be/F8QCXU4FRdw?t=2684            NaN   \n",
       "194                https://youtu.be/F8QCXU4FRdw?t=2964            NaN   \n",
       "195                https://youtu.be/F8QCXU4FRdw?t=3111            NaN   \n",
       "196                https://youtu.be/F8QCXU4FRdw?t=3253            NaN   \n",
       "197                https://youtu.be/F8QCXU4FRdw?t=3519            NaN   \n",
       "198                https://youtu.be/F8QCXU4FRdw?t=3627            NaN   \n",
       "199                 https://youtu.be/162be27-zQA?t=693              3   \n",
       "200                 https://youtu.be/162be27-zQA?t=727              4   \n",
       "201                 https://youtu.be/162be27-zQA?t=988              5   \n",
       "202                https://youtu.be/162be27-zQA?t=1003              3   \n",
       "203                https://youtu.be/162be27-zQA?t=1107             10   \n",
       "204                https://youtu.be/162be27-zQA?t=1516              6   \n",
       "205                https://youtu.be/162be27-zQA?t=1540              4   \n",
       "206                https://youtu.be/162be27-zQA?t=1650              9   \n",
       "207                https://youtu.be/162be27-zQA?t=1820             11   \n",
       "208                https://youtu.be/162be27-zQA?t=1969              4   \n",
       "209                https://youtu.be/162be27-zQA?t=2014             11   \n",
       "210                https://youtu.be/162be27-zQA?t=2143              2   \n",
       "211                https://youtu.be/162be27-zQA?t=2766              5   \n",
       "212                https://youtu.be/162be27-zQA?t=2925             11   \n",
       "213                https://youtu.be/162be27-zQA?t=3345             10   \n",
       "214                https://youtu.be/162be27-zQA?t=3345              4   \n",
       "215                https://youtu.be/162be27-zQA?t=3423              8   \n",
       "216                https://youtu.be/162be27-zQA?t=3755              4   \n",
       "217                https://youtu.be/162be27-zQA?t=3822              4   \n",
       "218                https://youtu.be/162be27-zQA?t=3845              4   \n",
       "219                https://youtu.be/162be27-zQA?t=4065             10   \n",
       "220                https://youtu.be/162be27-zQA?t=4165             14   \n",
       "221                https://youtu.be/162be27-zQA?t=4375              4   \n",
       "\n",
       "    Assisting Player Number  total_time  \n",
       "0                       NaN        19.0  \n",
       "1                       NaN         3.0  \n",
       "2                       NaN        20.0  \n",
       "3                       NaN        19.0  \n",
       "4                       NaN        16.0  \n",
       "5                       NaN        23.0  \n",
       "6                       NaN         6.0  \n",
       "7                       NaN        18.0  \n",
       "8                       NaN        20.0  \n",
       "9                       NaN        10.0  \n",
       "10                      NaN        17.0  \n",
       "11                      NaN        24.0  \n",
       "12                      NaN        17.0  \n",
       "13                      NaN        17.0  \n",
       "14                      NaN        22.0  \n",
       "15                      NaN        17.0  \n",
       "16                      NaN        22.0  \n",
       "17                      NaN        19.0  \n",
       "18                      NaN        22.0  \n",
       "19                      NaN        19.0  \n",
       "20                      NaN        22.0  \n",
       "21                      NaN        26.0  \n",
       "22                      NaN        24.0  \n",
       "23                      NaN        19.0  \n",
       "24                        8        20.0  \n",
       "25                        8        19.0  \n",
       "26                       10        20.0  \n",
       "27                        8         2.0  \n",
       "28                       10        13.0  \n",
       "29                     none        24.0  \n",
       "..                      ...         ...  \n",
       "192                     NaN        16.0  \n",
       "193                     NaN        14.0  \n",
       "194                     NaN        18.0  \n",
       "195                     NaN        19.0  \n",
       "196                     NaN        22.0  \n",
       "197                     NaN        14.0  \n",
       "198                     NaN         8.0  \n",
       "199                       8        16.0  \n",
       "200                       8         7.0  \n",
       "201                      10        14.0  \n",
       "202                       8         8.0  \n",
       "203                       3        21.0  \n",
       "204                       4        20.0  \n",
       "205                      10         4.0  \n",
       "206                       3        20.0  \n",
       "207                       2        21.0  \n",
       "208                      10        15.0  \n",
       "209                       8        17.0  \n",
       "210                       5        18.0  \n",
       "211                       9        19.0  \n",
       "212                       3        16.0  \n",
       "213                       8        16.0  \n",
       "214                       5        18.0  \n",
       "215                       7        21.0  \n",
       "216                       2        19.0  \n",
       "217                      10         9.0  \n",
       "218                       5        13.0  \n",
       "219                       8        22.0  \n",
       "220                       2        26.0  \n",
       "221                       7        26.0  \n",
       "\n",
       "[222 rows x 29 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "index                          int64\n",
       "Number of Passes             float64\n",
       "Passing Sequence              object\n",
       "Shooter Position              object\n",
       "Shooter Hand                  object\n",
       "Rebound                      float64\n",
       "Goal                           int64\n",
       "Block                         object\n",
       "Skip                           int64\n",
       "Lob                            int64\n",
       "Shot Position                 object\n",
       "Shot Location                 object\n",
       "Assisting Player Position     object\n",
       "Assisting Player Hand         object\n",
       "Rotation Type                 object\n",
       "Timeout                        int64\n",
       "Team                          object\n",
       "Turnover                       int64\n",
       "Quarter                        int64\n",
       "Start Time                    object\n",
       "End Time                      object\n",
       "Dropped Ball                   int64\n",
       "Kickout Position               int64\n",
       "End 3-3                        int64\n",
       "5m                             int64\n",
       "Link to Play                  object\n",
       "Shooter Number                object\n",
       "Assisting Player Number       object\n",
       "total_time                   float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Total Percentage of Converted 6-on-5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.36936936936936937"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(df['Goal']==1)/df.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Position Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gets location break down of shots from passed in data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# input: pandas dataFrame\n",
    "# output: {(shot position, shot location):(goals, attempts, percentage)}\n",
    "def shot_breakdown(df):\n",
    "    shot_df = df.groupby([\"Shot Position\", \"Shot Location\"]).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    shot_df[\"Goal_Percentage\"] = shot_df[\"Goal\"]/shot_df[\"Attempts\"] * 100\n",
    "    shot_dict = dict()\n",
    "    for _, row in shot_df.iterrows():\n",
    "        shot_key = (row[\"Shot Position\"], row[\"Shot Location\"])\n",
    "        shot_value = (row[\"Goal\"], row[\"Attempts\"], row[\"Goal_Percentage\"])\n",
    "        shot_dict[shot_key] = shot_value\n",
    "    return shot_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shooters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def shot_dict(df):\n",
    "    freq_dict = {}\n",
    "    for i in range(1, 7):\n",
    "        filter_df = df[df['Shooter Position'] == i]\n",
    "        goals = filter_df['Goal'].sum()\n",
    "        shots = filter_df.shape[0]\n",
    "        percentage = 0 if goals == 0 else goals/shots\n",
    "        freq_dict[i] = (goals, shots, percentage)\n",
    "    return freq_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def position_df(shot_dict):\n",
    "    goals = []\n",
    "    attempts = []\n",
    "    percentage = []\n",
    "    for i in range(1, 7):\n",
    "        goals.append(shot_dict[i][0])\n",
    "        attempts.append(shot_dict[i][1])\n",
    "        percentage.append(shot_dict[i][2]*100)\n",
    "    position_shot_df = pd.DataFrame({'Goals': goals, 'Attempts': attempts, 'Percentage': percentage})\n",
    "    position_shot_df.rename(index={0:1, 1:2, 2:3, 3:4, 4:5, 5:6},inplace=True)\n",
    "    return position_shot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>53</td>\n",
       "      <td>43.396226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14</td>\n",
       "      <td>35</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>22</td>\n",
       "      <td>40.909091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>31</td>\n",
       "      <td>35.483871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "      <td>26.923077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>36</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Goals  Attempts  Percentage\n",
       "1     23        53   43.396226\n",
       "2     14        35   40.000000\n",
       "3      9        22   40.909091\n",
       "4     11        31   35.483871\n",
       "5      7        26   26.923077\n",
       "6     18        36   50.000000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "position_df(shot_dict(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_miss_breakdown(df):\n",
    "    goalie_block = sum(df['Block'] == 'goalie')\n",
    "    field_block = sum(df['Block'] == 'field')\n",
    "    turn_overs = sum(df['Turnover'] == 1)\n",
    "    non_goal = sum(df['Goal'] == 0)\n",
    "    return {'goalie': goalie_block, 'field': field_block,\n",
    "            'missed': non_goal - goalie_block - field_block - turn_overs, \"turnovers\": turn_overs,\n",
    "            'percent_goalie': goalie_block/df.shape[0], 'percent_field': field_block/df.shape[0],\n",
    "            'percent_missed': (non_goal - goalie_block - field_block - turn_overs)/df.shape[0]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_all_position_misses(df):\n",
    "    freq_dict = {}\n",
    "    for i in range(1,7):\n",
    "        filter_df = df[df['Shooter Position'] == i]\n",
    "        freq_dict[i] = get_miss_breakdown(filter_df)\n",
    "    return freq_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: {'goalie': 18,\n",
       "  'field': 4,\n",
       "  'missed': 8,\n",
       "  'turnovers': 0,\n",
       "  'percent_goalie': 0.33962264150943394,\n",
       "  'percent_field': 0.07547169811320754,\n",
       "  'percent_missed': 0.1509433962264151},\n",
       " 2: {'goalie': 15,\n",
       "  'field': 1,\n",
       "  'missed': 4,\n",
       "  'turnovers': 1,\n",
       "  'percent_goalie': 0.42857142857142855,\n",
       "  'percent_field': 0.02857142857142857,\n",
       "  'percent_missed': 0.11428571428571428},\n",
       " 3: {'goalie': 6,\n",
       "  'field': 2,\n",
       "  'missed': 4,\n",
       "  'turnovers': 1,\n",
       "  'percent_goalie': 0.2727272727272727,\n",
       "  'percent_field': 0.09090909090909091,\n",
       "  'percent_missed': 0.18181818181818182},\n",
       " 4: {'goalie': 8,\n",
       "  'field': 4,\n",
       "  'missed': 8,\n",
       "  'turnovers': 0,\n",
       "  'percent_goalie': 0.25806451612903225,\n",
       "  'percent_field': 0.12903225806451613,\n",
       "  'percent_missed': 0.25806451612903225},\n",
       " 5: {'goalie': 4,\n",
       "  'field': 2,\n",
       "  'missed': 13,\n",
       "  'turnovers': 0,\n",
       "  'percent_goalie': 0.15384615384615385,\n",
       "  'percent_field': 0.07692307692307693,\n",
       "  'percent_missed': 0.5},\n",
       " 6: {'goalie': 9,\n",
       "  'field': 3,\n",
       "  'missed': 6,\n",
       "  'turnovers': 0,\n",
       "  'percent_goalie': 0.25,\n",
       "  'percent_field': 0.08333333333333333,\n",
       "  'percent_missed': 0.16666666666666666}}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_all_position_misses(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gets the shot location breakdown for a given position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pass in assist_pos if we want to see data with assist pair\n",
    "# pass in nothing for assist_pos to only get data on the shooting_pos (independent of assisting player position)\n",
    "def positions_shots(df, shooter_pos, assist_pos=None):\n",
    "    if assist_pos is None:\n",
    "        filter_df = df[df['Shooter Position'] == shooter_pos]\n",
    "        return shot_breakdown(filter_df)\n",
    "    filter_df = df[(df['Shooter Position'] == shooter_pos) & (df[\"Assisting Player Position\"] == assist_pos)]\n",
    "    return shot_breakdown(filter_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('bottom', 'left'): (1, 2, 50.0),\n",
       " ('high', 'center'): (2, 2, 100.0),\n",
       " ('high', 'left'): (4, 12, 33.33333333333333),\n",
       " ('high', 'right'): (3, 5, 60.0),\n",
       " ('low', 'left'): (7, 10, 70.0),\n",
       " ('low', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('low', 'right'): (3, 5, 60.0),\n",
       " ('middle', 'center'): (0, 3, 0.0),\n",
       " ('middle', 'left'): (3, 5, 60.0),\n",
       " ('middle', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('middle', 'right'): (0, 2, 0.0),\n",
       " ('none', 'none'): (0, 2, 0.0),\n",
       " ('not_on_cage', 'left'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'right'): (0, 1, 0.0)}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('bottom', 'left'): (1, 1, 100.0),\n",
       " ('high', 'center'): (0, 5, 0.0),\n",
       " ('high', 'left'): (6, 9, 66.66666666666666),\n",
       " ('high', 'right'): (2, 3, 66.66666666666666),\n",
       " ('low', 'center'): (0, 2, 0.0),\n",
       " ('low', 'left'): (3, 3, 100.0),\n",
       " ('low', 'right'): (1, 1, 100.0),\n",
       " ('mid', 'left'): (1, 1, 100.0),\n",
       " ('middle', 'left'): (0, 3, 0.0),\n",
       " ('middle', 'right'): (0, 1, 0.0),\n",
       " ('none', 'none'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'center'): (0, 2, 0.0),\n",
       " ('not_on_cage', 'left'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'not_on_cage'): (0, 2, 0.0)}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('high', 'center'): (1, 1, 100.0),\n",
       " ('high', 'left'): (1, 1, 100.0),\n",
       " ('high', 'right'): (2, 4, 50.0),\n",
       " ('low', 'center'): (0, 1, 0.0),\n",
       " ('low', 'left'): (2, 2, 100.0),\n",
       " ('low', 'right'): (1, 4, 25.0),\n",
       " ('middle', 'center'): (1, 1, 100.0),\n",
       " ('middle', 'right'): (1, 3, 33.33333333333333),\n",
       " ('none', 'none'): (0, 2, 0.0),\n",
       " ('not_on_cage', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'right'): (0, 2, 0.0)}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('bottom', 'left'): (1, 1, 100.0),\n",
       " ('high', 'center'): (1, 1, 100.0),\n",
       " ('high', 'left'): (2, 4, 50.0),\n",
       " ('high', 'right'): (1, 3, 33.33333333333333),\n",
       " ('low', 'center'): (0, 3, 0.0),\n",
       " ('low', 'left'): (2, 3, 66.66666666666666),\n",
       " ('low', 'right'): (2, 6, 33.33333333333333),\n",
       " ('middle', 'center'): (1, 3, 33.33333333333333),\n",
       " ('middle', 'high'): (1, 1, 100.0),\n",
       " ('middle', 'right'): (0, 3, 0.0),\n",
       " ('none', 'none'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'left'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'not_on_cage'): (0, 1, 0.0)}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('bottom', 'right'): (0, 1, 0.0),\n",
       " ('high', 'center'): (2, 2, 100.0),\n",
       " ('high', 'left'): (0, 4, 0.0),\n",
       " ('high', 'right'): (2, 4, 50.0),\n",
       " ('low', 'center'): (1, 1, 100.0),\n",
       " ('low', 'left'): (1, 2, 50.0),\n",
       " ('low', 'right'): (1, 4, 25.0),\n",
       " ('middle', 'left'): (0, 2, 0.0),\n",
       " ('middle', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('none', 'none'): (0, 2, 0.0),\n",
       " ('not_on_cage', 'center'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('not_on_cage', 'right'): (0, 1, 0.0)}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Shooter from 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{('high', 'center'): (1, 1, 100.0),\n",
       " ('high', 'left'): (2, 5, 40.0),\n",
       " ('high', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('high', 'right'): (2, 3, 66.66666666666666),\n",
       " ('low', 'left'): (3, 4, 75.0),\n",
       " ('low', 'not_on_cage'): (0, 1, 0.0),\n",
       " ('low', 'right'): (6, 11, 54.54545454545454),\n",
       " ('mid', 'skip'): (1, 1, 100.0),\n",
       " ('middle', 'center'): (1, 2, 50.0),\n",
       " ('middle', 'left'): (1, 2, 50.0),\n",
       " ('middle', 'right'): (1, 2, 50.0),\n",
       " ('none', 'none'): (0, 2, 0.0),\n",
       " ('not_on_cage', 'left'): (0, 1, 0.0)}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "positions_shots(df, 6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assisters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def assist_dict(df):\n",
    "    freq_dict = {}\n",
    "    for i in range(1, 7):\n",
    "        filter_df = df[df['Assisting Player Position'] == i]\n",
    "        goals = filter_df['Goal'].sum()\n",
    "        shots = filter_df.shape[0]\n",
    "        percentage = 0 if goals == 0 else goals/shots\n",
    "        freq_dict[i] = (goals, shots, percentage)\n",
    "    return freq_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>37.037037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24</td>\n",
       "      <td>58</td>\n",
       "      <td>41.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>51</td>\n",
       "      <td>39.215686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21</td>\n",
       "      <td>56</td>\n",
       "      <td>37.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Goals  Attempts  Percentage\n",
       "1     10        27   37.037037\n",
       "2      2         2  100.000000\n",
       "3      4         6   66.666667\n",
       "4     24        58   41.379310\n",
       "5     20        51   39.215686\n",
       "6     21        56   37.500000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "position_df(assist_dict(df))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shooters and Assisters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def shot_with_assists_dict(df):\n",
    "    freq_dict = {}\n",
    "    for i in range(1, 7):\n",
    "        for j in range(1, 7):\n",
    "            if i == j: continue\n",
    "            filter_df = df[(df['Shooter Position'] == i) & (df[\"Assisting Player Position\"] == j)]\n",
    "            goals = filter_df['Goal'].sum()\n",
    "            shots = filter_df.shape[0]\n",
    "            percentage = 0 if goals == 0 else goals/shots\n",
    "            freq_dict[(i, j)] = (goals, shots, percentage)\n",
    "    return freq_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{(1, 2): (0, 0, 0),\n",
       " (1, 3): (0, 0, 0),\n",
       " (1, 4): (11, 26, 0.4230769230769231),\n",
       " (1, 5): (5, 9, 0.5555555555555556),\n",
       " (1, 6): (7, 18, 0.3888888888888889),\n",
       " (2, 1): (2, 5, 0.4),\n",
       " (2, 3): (0, 0, 0),\n",
       " (2, 4): (3, 9, 0.3333333333333333),\n",
       " (2, 5): (3, 10, 0.3),\n",
       " (2, 6): (6, 8, 0.75),\n",
       " (3, 1): (1, 6, 0.16666666666666666),\n",
       " (3, 2): (0, 0, 0),\n",
       " (3, 4): (2, 5, 0.4),\n",
       " (3, 5): (4, 4, 1.0),\n",
       " (3, 6): (2, 7, 0.2857142857142857),\n",
       " (4, 1): (1, 5, 0.2),\n",
       " (4, 2): (0, 0, 0),\n",
       " (4, 3): (1, 2, 0.5),\n",
       " (4, 5): (6, 16, 0.375),\n",
       " (4, 6): (3, 7, 0.42857142857142855),\n",
       " (5, 1): (0, 2, 0),\n",
       " (5, 2): (0, 0, 0),\n",
       " (5, 3): (1, 1, 1.0),\n",
       " (5, 4): (3, 7, 0.42857142857142855),\n",
       " (5, 6): (3, 16, 0.1875),\n",
       " (6, 1): (6, 9, 0.6666666666666666),\n",
       " (6, 2): (2, 2, 1.0),\n",
       " (6, 3): (2, 2, 1.0),\n",
       " (6, 4): (5, 10, 0.5),\n",
       " (6, 5): (2, 12, 0.16666666666666666)}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shot_with_assists_dict(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Passes and Timing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of Passes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def passes_percentage(df):\n",
    "    passes_df = df.groupby(['Number of Passes']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    passes_df[\"Goal_Percentage\"] = passes_df[\"Goal\"]/passes_df[\"Attempts\"] * 100\n",
    "    passes_df.set_index('Number of Passes', inplace=True)\n",
    "    return passes_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Number of Passes</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.0</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>30.769231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>26.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>22.727273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "      <td>26.923077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>24.324324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>9</td>\n",
       "      <td>22</td>\n",
       "      <td>40.909091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>14</td>\n",
       "      <td>31</td>\n",
       "      <td>45.161290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>41.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>55.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>75.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Goal  Attempts  Goal_Percentage\n",
       "Number of Passes                                 \n",
       "0.0                  1         5        20.000000\n",
       "1.0                  4         6        66.666667\n",
       "2.0                  4        13        30.769231\n",
       "3.0                  4        15        26.666667\n",
       "4.0                  9        15        60.000000\n",
       "5.0                  5        22        22.727273\n",
       "6.0                  7        26        26.923077\n",
       "7.0                  9        37        24.324324\n",
       "8.0                  9        22        40.909091\n",
       "9.0                 14        31        45.161290\n",
       "10.0                 5        12        41.666667\n",
       "11.0                 5         9        55.555556\n",
       "12.0                 2         4        50.000000\n",
       "13.0                 3         4        75.000000"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "passes_percentage(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt; plt.rcdefaults()\n",
    "import matplotlib.pyplot as plt\n",
    "ranges = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ,13)\n",
    "pos = np.arange(len(ranges))\n",
    "plt.bar(pos, passes_percentage(df)['Goal_Percentage'], align='center', alpha=0.5, color = 'b')\n",
    "plt.xticks(pos, ranges)\n",
    "plt.ylabel('Shot Percentage')\n",
    "plt.title('Number of Passes Influence on Shot Percentage')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time of Possesion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bucket_times(df):\n",
    "    buckets = {}\n",
    "    bucket = 0\n",
    "    for n in range(31):\n",
    "        buckets[n] = bucket\n",
    "        if n%3 == 0:\n",
    "            bucket += 1\n",
    "    df.rename(index=buckets,inplace=True)\n",
    "    bucket_df = df.groupby(['total_time']).agg({\"Goal\": \"sum\", \"Attempts\": \"sum\"})\n",
    "    bucket_df['Goal Percentage'] = bucket_df['Goal']/bucket_df['Attempts']*100\n",
    "    return bucket_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def time_of_possession_percentage(df):\n",
    "    time_df = df.groupby(['total_time']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    time_df['Percentage'] = time_df['Goal']/time_df['Attempts']*100\n",
    "    time_df.set_index('total_time', inplace=True)\n",
    "    return time_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def time_of_possession_percentage_bucket(df):\n",
    "    time_df = df.groupby(['total_time']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    time_df.set_index('total_time', inplace=True)\n",
    "    time_df['Goal Percentage'] = time_df['Goal']/time_df['Attempts']\n",
    "    return bucket_times(time_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>75.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10.0</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11.0</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.0</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13.0</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14.0</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>18.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15.0</th>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.0</th>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>42.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17.0</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18.0</th>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>37.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19.0</th>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>55.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20.0</th>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>44.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21.0</th>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>42.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22.0</th>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23.0</th>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24.0</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25.0</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26.0</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27.0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28.0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30.0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goal  Attempts  Percentage\n",
       "total_time                            \n",
       "1.0            0         3    0.000000\n",
       "2.0            2         2  100.000000\n",
       "3.0            2         2  100.000000\n",
       "4.0            3         4   75.000000\n",
       "5.0            3         5   60.000000\n",
       "6.0            1         4   25.000000\n",
       "7.0            2         5   40.000000\n",
       "8.0            1         6   16.666667\n",
       "9.0            1         4   25.000000\n",
       "10.0           3         5   60.000000\n",
       "11.0           2         4   50.000000\n",
       "12.0           1         5   20.000000\n",
       "13.0           3         6   50.000000\n",
       "14.0           2        11   18.181818\n",
       "15.0           4         9   44.444444\n",
       "16.0           6        14   42.857143\n",
       "17.0           3        15   20.000000\n",
       "18.0           6        16   37.500000\n",
       "19.0          11        20   55.000000\n",
       "20.0           8        18   44.444444\n",
       "21.0           6        14   42.857143\n",
       "22.0           5        20   25.000000\n",
       "23.0           2         8   25.000000\n",
       "24.0           3        10   30.000000\n",
       "25.0           1         5   20.000000\n",
       "26.0           1         4   25.000000\n",
       "27.0           0         1    0.000000\n",
       "28.0           0         1    0.000000\n",
       "30.0           0         1    0.000000"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_of_possession_percentage(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>57.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>53.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>26.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "      <td>42.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>34.615385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>33.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>25</td>\n",
       "      <td>52</td>\n",
       "      <td>48.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10</td>\n",
       "      <td>38</td>\n",
       "      <td>26.315789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goal  Attempts  Goal Percentage\n",
       "total_time                                 \n",
       "1              4         7        57.142857\n",
       "2              7        13        53.846154\n",
       "3              4        15        26.666667\n",
       "4              6        14        42.857143\n",
       "5              9        26        34.615385\n",
       "6             15        45        33.333333\n",
       "7             25        52        48.076923\n",
       "8             10        38        26.315789\n",
       "9              2        10        20.000000\n",
       "10             0         2         0.000000"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# BUCKETED TIME\n",
    "time_of_possession_percentage_bucket(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt; plt.rcdefaults()\n",
    "import matplotlib.pyplot as plt\n",
    "ranges = ('1-3', '4-6', '7-9', '10-12', '13-15', '16-18', '19-21', '22-24', '25-27', '28-30')\n",
    "pos = np.arange(len(ranges))\n",
    "plt.bar(pos, time_of_possession_percentage_bucket(df)['Goal Percentage'], align='center', alpha=0.5, color = 'b')\n",
    "plt.xticks(pos, ranges)\n",
    "plt.ylabel('Shot Percentage')\n",
    "plt.title('Time of Possesion Influence on Shot Percentage')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Passes per Second"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bucket_passes_per_second(df):\n",
    "    bucket = {0.08888889:1,0.17777778:2,0.26666667:3,0.35555556:4,\n",
    "              0.44444444:5,0.53333333:6,0.62222222:7,0.71111111:8,\n",
    "              0.8:9,2:10}\n",
    "    new_indices = []\n",
    "    for index, _ in df.iterrows():\n",
    "        for threshold in bucket:\n",
    "            if index <= threshold:\n",
    "                new_indices.append(bucket[threshold])\n",
    "                break\n",
    "    df['PPS Bucket'] = new_indices\n",
    "    df.set_index(['PPS Bucket'], inplace=True)\n",
    "    bucket_df = df.groupby(['PPS Bucket']).agg({\"Goal\": \"sum\", \"Attempts\": \"sum\"})\n",
    "    bucket_df['Goal_Percentage'] = bucket_df['Goal']/bucket_df['Attempts']*100\n",
    "    return bucket_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def passes_per_second_percentage(df):\n",
    "    df['Passes Per Second'] = df['Number of Passes']/df['total_time']\n",
    "    time_df = df.groupby(['Passes Per Second']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    time_df.set_index('Passes Per Second', inplace=True)\n",
    "    return bucket_passes_per_second(time_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPS Bucket</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>48</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27</td>\n",
       "      <td>65</td>\n",
       "      <td>41.538462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16</td>\n",
       "      <td>45</td>\n",
       "      <td>35.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>57.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goal  Attempts  Goal_Percentage\n",
       "PPS Bucket                                 \n",
       "1              1         6        16.666667\n",
       "2              1         4        25.000000\n",
       "3              7        28        25.000000\n",
       "4             12        48        25.000000\n",
       "5             27        65        41.538462\n",
       "6             16        45        35.555556\n",
       "7             10        15        66.666667\n",
       "8              4         7        57.142857\n",
       "9              2         2       100.000000\n",
       "10             1         1       100.000000"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "passes_per_second_percentage(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt; plt.rcdefaults()\n",
    "import matplotlib.pyplot as plt\n",
    "#ranges = ('0.0-0.089', '.09-0.178', '0.179-0.267', '0.268-0.356',\n",
    "#        '0.357-0.444', '0.445-0.533', '0.534-0.622', '0.623-0.711', '0.712-0.8','2.0')\n",
    "ranges = ('0.0-.089', '-0.178', '-0.267', '-0.356',\n",
    "        '-0.444', '-0.533', '-0.622', '-0.711', '-0.800','-2.0')\n",
    "pos = np.arange(len(ranges))\n",
    "bar_width = .5\n",
    "plt.bar(pos, passes_per_second_percentage(df)['Goal_Percentage'],align='center', alpha=0.5, color = 'b')\n",
    "plt.xticks(pos, ranges, fontsize=9)\n",
    "plt.ylabel('Shot Percentage')\n",
    "plt.title('Passes per Second Influence on Shot Percentage')\n",
    "plt.xlabel('Number of Passes per Second')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rotation Types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "def handle_rotations_df(filtered_df, desired_rotation):\n",
    "    goals_and_misses = filtered_df['Goal'].value_counts()\n",
    "    if len(goals_and_misses) == 0:\n",
    "        rotation_df = pd.DataFrame({'Goals':[0], 'Attempts':[0], 'Percentage':[0]})\n",
    "        rotation_df.rename(index={0:desired_rotation},inplace=True)\n",
    "        return rotation_df\n",
    "    goals = goals_and_misses[1]\n",
    "    attempts = goals_and_misses[0] + goals\n",
    "    rotation_df = pd.DataFrame({'Goals':[goals], 'Attempts':[attempts], 'Percentage':[goals/attempts*100]})\n",
    "    rotation_df.rename(index={0:desired_rotation},inplace=True)\n",
    "    return rotation_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rotations(df, desired_rotation):\n",
    "    matching_indicies = []\n",
    "    for index, row in df.iterrows():\n",
    "        filter_copy = desired_rotation.copy()\n",
    "        if ',' not in row['Rotation Type']:\n",
    "            rotation_list = [row['Rotation Type']]\n",
    "        else:\n",
    "            rotation_list = [x.strip() for x in row[\"Rotation Type\"].split(\",\")]\n",
    "        for rotation in desired_rotation:\n",
    "            if rotation in rotation_list:\n",
    "                filter_copy.remove(rotation)\n",
    "            if len(filter_copy) == 0:\n",
    "                matching_indicies.append(index)\n",
    "                break\n",
    "    filtered_df = df.iloc[matching_indicies]\n",
    "    return handle_rotations_df(filtered_df, desired_rotation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 In"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[1_in]</th>\n",
       "      <td>17</td>\n",
       "      <td>60</td>\n",
       "      <td>28.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Goals  Attempts  Percentage\n",
       "[1_in]     17        60   28.333333"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['1_in'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 Pocket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[1_pocket]</th>\n",
       "      <td>19</td>\n",
       "      <td>48</td>\n",
       "      <td>39.583333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goals  Attempts  Percentage\n",
       "[1_pocket]     19        48   39.583333"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['1_pocket'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6 In"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[6_in]</th>\n",
       "      <td>52</td>\n",
       "      <td>113</td>\n",
       "      <td>46.017699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Goals  Attempts  Percentage\n",
       "[6_in]     52       113   46.017699"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['6_in'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6 Pocket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[6_pocket]</th>\n",
       "      <td>7</td>\n",
       "      <td>38</td>\n",
       "      <td>18.421053</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goals  Attempts  Percentage\n",
       "[6_pocket]      7        38   18.421053"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['6_pocket'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4 Center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[4_center]</th>\n",
       "      <td>41</td>\n",
       "      <td>94</td>\n",
       "      <td>43.617021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goals  Attempts  Percentage\n",
       "[4_center]     41        94   43.617021"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['4_center'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 Center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[5_center]</th>\n",
       "      <td>15</td>\n",
       "      <td>65</td>\n",
       "      <td>23.076923</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goals  Attempts  Percentage\n",
       "[5_center]     15        65   23.076923"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['5_center'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 Pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[2_pop]</th>\n",
       "      <td>14</td>\n",
       "      <td>35</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Goals  Attempts  Percentage\n",
       "[2_pop]     14        35        40.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['2_pop'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3 Pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[3_pop]</th>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>28.571429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Goals  Attempts  Percentage\n",
       "[3_pop]      4        14   28.571429"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['3_pop'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No rotation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[none]</th>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>38.461538</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Goals  Attempts  Percentage\n",
       "[none]     10        26   38.461538"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['none'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Combinations of Rotations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6 In and 4 Center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[6_in, 4_center]</th>\n",
       "      <td>33</td>\n",
       "      <td>65</td>\n",
       "      <td>50.769231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Goals  Attempts  Percentage\n",
       "[6_in, 4_center]     33        65   50.769231"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['6_in', '4_center'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 In and 5 Center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[1_in, 5_center]</th>\n",
       "      <td>7</td>\n",
       "      <td>29</td>\n",
       "      <td>24.137931</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Goals  Attempts  Percentage\n",
       "[1_in, 5_center]      7        29   24.137931"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['1_in', '5_center'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4 Center and 1 Pocket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[4_center, 1_pocket]</th>\n",
       "      <td>15</td>\n",
       "      <td>34</td>\n",
       "      <td>44.117647</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Goals  Attempts  Percentage\n",
       "[4_center, 1_pocket]     15        34   44.117647"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['4_center', '1_pocket'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5 Center and 6 Pocket"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[5_center, 6_pocket]</th>\n",
       "      <td>4</td>\n",
       "      <td>27</td>\n",
       "      <td>14.814815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Goals  Attempts  Percentage\n",
       "[5_center, 6_pocket]      4        27   14.814815"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['5_center', '6_pocket'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6 In and 1 In"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[6_in, 1_in]</th>\n",
       "      <td>8</td>\n",
       "      <td>26</td>\n",
       "      <td>30.769231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goals  Attempts  Percentage\n",
       "[6_in, 1_in]      8        26   30.769231"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['6_in', '1_in'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4 Center and 2 Pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>[4_center, 2_pop]</th>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>34.782609</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Goals  Attempts  Percentage\n",
       "[4_center, 2_pop]      8        23   34.782609"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotations(df, ['4_center', '2_pop'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Effects of Other Factors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# z-test package\n",
    "from statsmodels.stats.proportion import proportions_ztest\n",
    "# calcs from https: stattrek.com/hypothesis-test/difference-in-proportions.aspx\n",
    "# z score interpreter from https://stackoverflow.com/questions/3496656/convert-z-score-z-value-standard-score-to-p-value-for-normal-distribution-in\n",
    "from scipy.stats import norm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "def prop_ztest(p1, n1, p2, n2, two_sided=True):\n",
    "    p = (p1*n1 + p2*n2)/(n1+n2)\n",
    "    SE = np.sqrt(p*(1-p) * (1/n1+1/n2))\n",
    "    z = (p1-p2)/SE\n",
    "    return norm.sf(abs(z))*(1+two_sided)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dropped Ball"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "def all_dropped_balls(df):\n",
    "    dropped_df = df.groupby([\"Dropped Ball\"]).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    dropped_df.set_index('Dropped Ball', inplace=True)\n",
    "    dropped_df['Goal_Percentage'] = dropped_df['Goal']/dropped_df['Attempts']*100\n",
    "    return dropped_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dropped_balls_percentage(df):\n",
    "    dropped_df = df.groupby([\"Dropped Ball\"]).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    dropped_df.set_index('Dropped Ball', inplace=True)\n",
    "    dropped_df.rename(index={0:0, 1:'>0', 2:'>0', 3:'>0', 4:'>0'},inplace=True)\n",
    "    zero_dropped = dropped_df.groupby(['Dropped Ball']).agg({\"Goal\": \"sum\", \"Attempts\": \"sum\"})\n",
    "    zero_dropped['Goal_Percentage'] = zero_dropped['Goal']/zero_dropped['Attempts']*100\n",
    "    return zero_dropped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dropped Ball</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>49</td>\n",
       "      <td>121</td>\n",
       "      <td>40.495868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22</td>\n",
       "      <td>61</td>\n",
       "      <td>36.065574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>25.925926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>33.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Dropped Ball                                 \n",
       "0               49       121        40.495868\n",
       "1               22        61        36.065574\n",
       "2                7        27        25.925926\n",
       "3                3        10        30.000000\n",
       "4                1         3        33.333333"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_dropped_balls(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dropped Ball</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>49</td>\n",
       "      <td>121</td>\n",
       "      <td>40.495868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;0</th>\n",
       "      <td>33</td>\n",
       "      <td>101</td>\n",
       "      <td>32.673267</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Dropped Ball                                 \n",
       "0               49       121        40.495868\n",
       ">0              33       101        32.673267"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dropped_balls_percentage(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.11457154328683189"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(dropped_balls_percentage(df)['Goal_Percentage'][0]*.01, dropped_balls_percentage(df)['Attempts'][0],\n",
    "           dropped_balls_percentage(df)['Goal_Percentage']['>0']*.01, dropped_balls_percentage(df)['Attempts']['>0'],\n",
    "           two_sided=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Timeout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# input: df\n",
    "def timeout_breakdown(df):\n",
    "    timeout_df = df.groupby(['Timeout']).agg({\"Goal\": \"sum\", \"Turnover\": \"count\"}).reset_index().rename(columns={'Turnover':'Attempts'})\n",
    "    timeout_df[\"Goal_Percentage\"] = timeout_df[\"Goal\"]/timeout_df[\"Attempts\"] * 100\n",
    "    timeout_df.set_index('Timeout', inplace=True)\n",
    "    timeout_df.rename(index={0:'No Timeout', 1:'Timeout'},inplace=True)\n",
    "    return timeout_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timeout</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No Timeout</th>\n",
       "      <td>66</td>\n",
       "      <td>180</td>\n",
       "      <td>36.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Timeout</th>\n",
       "      <td>16</td>\n",
       "      <td>42</td>\n",
       "      <td>38.095238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Goal  Attempts  Goal_Percentage\n",
       "Timeout                                    \n",
       "No Timeout    66       180        36.666667\n",
       "Timeout       16        42        38.095238"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(timeout_breakdown(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.43143173265747636"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(pd.DataFrame(timeout_breakdown(df))['Goal_Percentage']['No Timeout']*.01, pd.DataFrame(timeout_breakdown(df))['Attempts']['No Timeout'],\n",
    "          pd.DataFrame(timeout_breakdown(df))['Goal_Percentage']['Timeout']*.01, pd.DataFrame(timeout_breakdown(df))['Attempts']['Timeout'],\n",
    "          two_sided=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ejected in Front or Backcourt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ejection_position(df):\n",
    "    position_df = df.groupby([\"Kickout Position\"]).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    position_df[\"Goal_Percentage\"] = position_df[\"Goal\"]/position_df[\"Attempts\"] * 100\n",
    "    position_df.set_index('Kickout Position', inplace=True)\n",
    "    position_df.rename(index={0:'Frontcourt', 1:'Backcourt'},inplace=True)\n",
    "    return position_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kickout Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Frontcourt</th>\n",
       "      <td>66</td>\n",
       "      <td>184</td>\n",
       "      <td>35.869565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backcourt</th>\n",
       "      <td>16</td>\n",
       "      <td>38</td>\n",
       "      <td>42.105263</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Goal  Attempts  Goal_Percentage\n",
       "Kickout Position                                 \n",
       "Frontcourt          66       184        35.869565\n",
       "Backcourt           16        38        42.105263"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ejection_position(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.23419871307904855"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(ejection_position(df)['Goal_Percentage']['Frontcourt']*.01, ejection_position(df)['Attempts']['Frontcourt'],\n",
    "          ejection_position(df)['Goal_Percentage']['Backcourt']*.01, ejection_position(df)['Attempts']['Backcourt'],\n",
    "          two_sided=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ejected in Front or Backcourt With Timeout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "def timeout_position(df):\n",
    "    timeout_df = df[df['Timeout'] == 1]\n",
    "    position_df = timeout_df.groupby([\"Kickout Position\"]).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    position_df[\"Goal_Percentage\"] = position_df[\"Goal\"]/position_df[\"Attempts\"] * 100\n",
    "    position_df.set_index('Kickout Position', inplace=True)\n",
    "    position_df.rename(index={0:'Frontcourt', 1:'Backcourt'},inplace=True)\n",
    "\n",
    "    return position_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kickout Position</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Frontcourt</th>\n",
       "      <td>10</td>\n",
       "      <td>29</td>\n",
       "      <td>34.482759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Backcourt</th>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>46.153846</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Goal  Attempts  Goal_Percentage\n",
       "Kickout Position                                 \n",
       "Frontcourt          10        29        34.482759\n",
       "Backcourt            6        13        46.153846"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timeout_position(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## End in 3-3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "def three_three_percentage(df):\n",
    "    three_three_df = df.groupby(['End 3-3']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    three_three_df[\"Goal_Percentage\"] = three_three_df[\"Goal\"]/three_three_df[\"Attempts\"] * 100\n",
    "    three_three_df.set_index('End 3-3', inplace=True)\n",
    "    three_three_df.rename(index={0:'False', 1:'True'},inplace=True)\n",
    "    return three_three_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>End 3-3</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>69</td>\n",
       "      <td>200</td>\n",
       "      <td>34.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>13</td>\n",
       "      <td>22</td>\n",
       "      <td>59.090909</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Goal  Attempts  Goal_Percentage\n",
       "End 3-3                                 \n",
       "False      69       200        34.500000\n",
       "True       13        22        59.090909"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "three_three_percentage(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02330902786245975"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(three_three_percentage(df)['Goal_Percentage']['False']*.01, three_three_percentage(df)['Attempts']['False'],\n",
    "          three_three_percentage(df)['Goal_Percentage']['True']*.01, three_three_percentage(df)['Attempts']['True'],\n",
    "          two_sided=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Left vs Right Hand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# output: df of goals, attempts, and percentage for both handedness of each position\n",
    "def hand_goal_percentage(df, shooter_pos):\n",
    "    filter_df = df[df['Shooter Position'] == shooter_pos]\n",
    "    hand_df = filter_df.groupby(['Shooter Hand']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    hand_df[\"Goal_Percentage\"] = hand_df[\"Goal\"]/hand_df[\"Attempts\"] * 100\n",
    "    hand_df.set_index('Shooter Hand', inplace=True)\n",
    "    hand_df.rename(index={0:'Left Handed', 1:'Right Handed'},inplace=True)\n",
    "    return hand_df\n",
    "#TODO: fill with 0 if it doesnt exist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>23</td>\n",
       "      <td>53</td>\n",
       "      <td>43.396226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Right Handed    23        53        43.396226"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>13</td>\n",
       "      <td>33</td>\n",
       "      <td>39.393939</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Left Handed      1         2        50.000000\n",
       "Right Handed    13        33        39.393939"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Left Handed      0         2              0.0\n",
       "Right Handed     9        20             45.0"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>11</td>\n",
       "      <td>31</td>\n",
       "      <td>35.483871</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Right Handed    11        31        35.483871"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>37.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>22.222222</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Left Handed      3         8        37.500000\n",
       "Right Handed     4        18        22.222222"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shooter at 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shooter Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>47.826087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>7</td>\n",
       "      <td>13</td>\n",
       "      <td>53.846154</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goal  Attempts  Goal_Percentage\n",
       "Shooter Hand                                 \n",
       "Left Handed     11        23        47.826087\n",
       "Right Handed     7        13        53.846154"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_goal_percentage(df, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.43734325060653634"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(14/31, 31, 11/31, 31, two_sided=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "# output: df of goals, attempts, and percentage for both handedness of each position\n",
    "def hand_assist_percentage(df, assist_pos):\n",
    "    filter_df = df[df['Assisting Player Position'] == assist_pos]\n",
    "    hand_df = filter_df.groupby(['Assisting Player Hand']).agg({\"Goal\": \"sum\", \"Timeout\": \"count\"}).reset_index().rename(columns={'Timeout':'Attempts'})\n",
    "    hand_df[\"Goal_Percentage\"] = hand_df[\"Goal\"]/hand_df[\"Attempts\"] * 100\n",
    "    hand_df.set_index('Assisting Player Hand', inplace=True)\n",
    "    hand_df.rename(index={0:'Left Handed', 1:'Right Handed'},inplace=True)\n",
    "    return hand_df\n",
    "#TODO: fill with 0 if it doesnt exist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>37.037037</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Right Handed             10        27        37.037037"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Right Handed              2         2            100.0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>66.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Right Handed              4         6        66.666667"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df,3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>24</td>\n",
       "      <td>58</td>\n",
       "      <td>41.37931</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Right Handed             24        58         41.37931"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>40.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>16</td>\n",
       "      <td>41</td>\n",
       "      <td>39.02439</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Left Handed               4        10         40.00000\n",
       "Right Handed             16        41         39.02439"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Assisting Player at 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goal</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Goal_Percentage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assisting Player Hand</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Left Handed</th>\n",
       "      <td>15</td>\n",
       "      <td>37</td>\n",
       "      <td>40.540541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Right Handed</th>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>31.578947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Goal  Attempts  Goal_Percentage\n",
       "Assisting Player Hand                                 \n",
       "Left Handed              15        37        40.540541\n",
       "Right Handed              6        19        31.578947"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hand_assist_percentage(df, 6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6914221948957988"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(19/47, 47, 22/60, 60, two_sided=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Skip Shots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "def skip_dict_to_df(skip_dict):\n",
    "    goals = [skip_dict[0][0], skip_dict[1][0]]\n",
    "    attempts = [skip_dict[0][1], skip_dict[1][1]]\n",
    "    percentage = [skip_dict[0][2]*100, skip_dict[1][2]*100]\n",
    "    skip_df = pd.DataFrame({'Goals':goals, 'Attempts':attempts, 'Percentage':percentage})\n",
    "    skip_df.rename(index={0:'No Skip', 1:'Skip Shot'},inplace=True)\n",
    "    return skip_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_skip_dict(df):\n",
    "    skip_dict = {}\n",
    "    for i in range(2):\n",
    "        filter_df = df[df['Skip']==i]\n",
    "        goals = sum(filter_df['Goal'])\n",
    "        attempts = filter_df.shape[0]\n",
    "        percentage = 0 if goals == 0 else goals/attempts\n",
    "        skip_dict[i] = (goals, attempts, percentage)\n",
    "    return skip_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>No Skip</th>\n",
       "      <td>49</td>\n",
       "      <td>162</td>\n",
       "      <td>30.246914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skip Shot</th>\n",
       "      <td>33</td>\n",
       "      <td>60</td>\n",
       "      <td>55.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Goals  Attempts  Percentage\n",
       "No Skip       49       162   30.246914\n",
       "Skip Shot     33        60   55.000000"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skip_dict_to_df(get_skip_dict(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0006896584031599181"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(get_skip_dict(df)[0][2], get_skip_dict(df)[0][1], \n",
    "       get_skip_dict(df)[1][2], get_skip_dict(df)[1][1],\n",
    "      two_sided=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_skip_dict_players(df):\n",
    "    return_dict = {}\n",
    "    for i in range(1,7):\n",
    "        shooter_df = df[df['Shooter Position'] == i]\n",
    "        return_dict[i] = get_skip_dict(shooter_df)\n",
    "    return return_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: {0: (13, 33, 0.3939393939393939), 1: (10, 20, 0.5)},\n",
       " 2: {0: (11, 31, 0.3548387096774194), 1: (3, 4, 0.75)},\n",
       " 3: {0: (9, 19, 0.47368421052631576), 1: (0, 3, 0)},\n",
       " 4: {0: (5, 20, 0.25), 1: (6, 11, 0.5454545454545454)},\n",
       " 5: {0: (4, 19, 0.21052631578947367), 1: (3, 7, 0.42857142857142855)},\n",
       " 6: {0: (7, 21, 0.3333333333333333), 1: (11, 15, 0.7333333333333333)}}"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_skip_dict_players(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.45015248115022455"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(get_skip_dict_players(df)[1][0][2],get_skip_dict_players(df)[1][0][1],\n",
    "          get_skip_dict_players(df)[1][1][2], get_skip_dict_players(df)[1][1][1],\n",
    "          two_sided=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.09996542089929791"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_ztest(get_skip_dict_players(df)[4][0][2],get_skip_dict_players(df)[4][0][1],\n",
    "          get_skip_dict_players(df)[4][1][2], get_skip_dict_players(df)[4][1][1],\n",
    "          two_sided=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Percentage of Winning and Losing Teams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "game_results = {(0,14): ['Szolonki VSC', 'AN Brescia'], (14,24): ['Barceloneta', 'Jug'],\n",
    "                (24, 37): ['Barceloneta', 'Eger'], (37, 57): ['Jug', 'Szolnok'],\n",
    "                (57, 76): ['Olympiacos', 'Spandau'], (76, 95): ['Olympiacos', 'Barceloneta'],\n",
    "                (95, 116): ['Olympicos', 'Pro Recco'], (116, 145): ['Pro Recco', 'AN Brescia'],\n",
    "                (145, 167): ['Pro Recco', 'Jug Dubrovnik'], (167, 183): ['AN Brescia', 'Spandau 04'],\n",
    "                (183, 199): ['ZF Eger', 'Spandau 04'], (199, 222): ['Szolnoki VSC', 'ZF Eger']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "def conversion_based_on_result(df):\n",
    "    winning_team_data = [0, 0, 0]\n",
    "    losing_team_data = [0, 0, 0]\n",
    "    for game_range in game_results:\n",
    "        for i in range(game_range[0], game_range[1]):\n",
    "            if game_results[game_range].index(df.iloc[i]['Team'].strip()) == 0:\n",
    "                winning_team_data[0] += df.iloc[i]['Goal']\n",
    "                winning_team_data[1] += 1\n",
    "            else:\n",
    "                losing_team_data[0] += df.iloc[i]['Goal']\n",
    "                losing_team_data[1] += 1\n",
    "    winning_team_data[2] = winning_team_data[0]/winning_team_data[1] * 100\n",
    "    losing_team_data[2] = losing_team_data[0]/losing_team_data[1] * 100\n",
    "    results_df = pd.DataFrame({'Goals':[winning_team_data[0], losing_team_data[0]],\n",
    "                               'Attempts':[winning_team_data[1], losing_team_data[1]], \n",
    "                               'Percentage':[winning_team_data[2], losing_team_data[2]]})\n",
    "    results_df.rename(index={0:'Winning Team', 1:'Losing Team'},inplace=True)\n",
    "    return results_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Winning Team</th>\n",
       "      <td>48</td>\n",
       "      <td>112</td>\n",
       "      <td>42.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Losing Team</th>\n",
       "      <td>34</td>\n",
       "      <td>110</td>\n",
       "      <td>30.909091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Goals  Attempts  Percentage\n",
       "Winning Team     48       112   42.857143\n",
       "Losing Team      34       110   30.909091"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conversion_based_on_result(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "def winning_team_higher_percentage(df):\n",
    "    winning_team_data = [0, 0, 0]\n",
    "    losing_team_data = [0, 0, 0]\n",
    "    game_data = [0, 0, 0]\n",
    "    for game_range in game_results:\n",
    "        for i in range(game_range[0], game_range[1]):\n",
    "            if game_results[game_range].index(df.iloc[i]['Team'].strip()) == 0:\n",
    "                winning_team_data[0] += df.iloc[i]['Goal']\n",
    "                winning_team_data[1] += 1\n",
    "            else:\n",
    "                losing_team_data[0] += df.iloc[i]['Goal']\n",
    "                losing_team_data[1] += 1\n",
    "        game_data[1] += 1\n",
    "        if winning_team_data[0]/winning_team_data[1] >= losing_team_data[0]/losing_team_data[1]:\n",
    "            game_data[0] += 1\n",
    "        winning_team_data = [0, 0, 0]\n",
    "        losing_team_data = [0, 0, 0]\n",
    "    game_data[2] = game_data[0]/game_data[1] * 100\n",
    "    results_df = pd.DataFrame({'Goals':[game_data[0]],'Attempts':[game_data[1]], \n",
    "                               'Percentage':[game_data[2]]})\n",
    "    return results_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Goals</th>\n",
       "      <th>Attempts</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>83.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Goals  Attempts  Percentage\n",
       "0     10        12   83.333333"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winning_team_higher_percentage(df)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}