Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
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Updated
Nov 20, 2024 - Python
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
A machine learning system that predicts fpl points of players
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Data pipeline for Fantasy Premier League. Extracts data for a specified Classic Invitational League. This data is visualised in a Dash web app.
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Some basic scripts to generate FPL statistics and analysis for FPL and number geeks
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A user-customizable Fantasy Premier League (FPL) dashboard with data from understat and official FPL websites. Analyze tables, graphs, and regressions, across different time spans (gameweeks) to extract new insights on player form, value, and scoring predictions.
Football player analytics with optimization model to create the best possible fantasy football team, through a maximization with constraints problem.
Integrating FPL, Transfermarkt, and Understat data, our strategy optimizes squad selection. This approach, leveraging market values and detailed player statistics, ensures both financial prudence and on-field performance. Strategic acquisitions align with set rules and budget constraints, emphasizing value-driven choices for a robust squad
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Predict Fantasy Premier League (FPL) points using two models: a Random Forest regression (ML_xP.py) and a custom statistical model (xP_FPL.py). This project explores different approaches to predicting player performance, with a detailed comparison for Gameweek 5 of the 2024/25 EPL season.
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