This project implements a fantasy football team optimizer for Biwenger, using a knapsack algorithm to select the best possible team within given constraints.
The Biwenger Knapsack Solver is designed to help users create optimal fantasy football teams by maximizing player value while adhering to specific team constraints. It uses the Google OR-Tools library to solve the knapsack problem and select the best combination of players.
- Fetches player data from the Biwenger API
- Implements team constraints (e.g., maximum salary, player positions)
- Optimizes team selection based on player value and cost
- Supports captain selection for additional team value
- Clone the repository
- Install the required dependencies:
pip install -r requirements.txt
To run the optimizer:
python best_team.py
This script will fetch player data, solve the optimization problem, and output the best team configuration.
biwenger_knapsack/: Main package containing the core functionalityapi.py: Handles API requests to fetch player datamodels.py: Defines data models for players and teamsparser.py: Parses raw player data into structured objectssolver.py: Implements the knapsack algorithm for team optimizationutils.py: Utility functions for displaying team information
best_team.py: Main script to run the optimization