Cartola Predictor

Just a study script to help Cartola lineup.

How to

1. Install Python3 if it is not already installed
2. Install dependencies pip3 install -r requirements.txt
3. Add execution permission to Main file chmod +x Main.py
4. Create on the root folder a file config.txt with your cartola username and password as a follow:

email=yourCartola@email
password=youCartolaPassword

Run it

Just run it with ./Main.py and you'll get the next turn score prediction of each player.

Sample

• After follow the How to steps:

$ ./Main.py
Getting auth
Getting teams
Getting athletes
Getting scores
	Getting score of Fulano
	Getting score of Sicrano
	Getting score of Beltrano
	[All players will appear here]
Training using 2000 generations. It can take a long time to end
    |Population Average|    Best Individual     |
---- ------------------ ------------------------ ----------
 Gen   Length   Fitness   Length Fitness OOB Fit  Time Left
   0    12.53     24.14       13    1.37    4.83      2.07s
[All generations will appear here, it take a long time to finish]   
Getting results

Below the Getting results line we have a CSV of all players score prediction sorted by the best one. The columns are described below.

COLUMNS

• Scale: Appears an * if you should scale otherwise a blank space. The rule to scale is:
  • The athlete has a Probable status
  • The athlete has a Position that still is vague in the escalation
  • The athlete has the big score projection possible
• Name: The athlete name
• Team: The athlete team
• Position: The athlete position
• Status: The athlete status
• Price: The athlete price
• Prediction: The algorithm score to the player

Customization

All customization need to be made in Main.py.

Change escalation

In the main function of Main file change it:

escalation = {
    Position.GOALKEEPER: 1,
    Position.DEFENDER: 2,
    Position.SIDE: 2,
    Position.MIDFIELD: 4,
    Position.ATTACKER: 2,
    Position.COACH: 1
}

it is the default escalation 4:4:2, you just need change the number of players of each escalation

Change the number of generations

In the main function of Main file change it: generations = 2000 to receive a number of generation that you want, for example generations = 666

Change other algorithms params

All algorithms params are in the main function of Main file in the code:

est_gp = SymbolicRegressor(
        population_size=5000,
        generations=generations,
        stopping_criteria=0.01,
        p_crossover=0.7,
        p_subtree_mutation=0.1,
        p_hoist_mutation=0.05,
        p_point_mutation=0.1,
        max_samples=0.9,
        verbose=1,
        parsimony_coefficient=0.01,
        random_state=0,
        const_range=(-50., 50.),
        function_set=(
            'add', 'sub', 'mul', 'div', 'sqrt', 
            'log', 'abs', 'neg', 'inv', 'max', 
            'min', 'sin', 'cos', 'tan'))