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
Oct 28, 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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Best options to rotate defenders in Fantasy Premier League 2023-24
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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
Repository that contains useful functions of Fantasy Premier League
Do you like football? Are you familiar with the Fantasy Premier League? If so, you've come to the right place - this is a project that will help you select the optimal team in terms of both budget and performance || 04.09.2024
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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.
Attempt at automating fantasy premier league team selection
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