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 1, 2025 - Python
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
The ultimate FPL dataset including the 2025/26 season. Fuses official FPL API data with detailed match stats, dynamic team Elo ratings, and full cup, friendlies and Euro coverage. All data is aligned by official FPL IDs for deep analysis.
Fantasy Premier League Stats, Visualizations & Analysis. ⚽ 📊 📈
Best options to rotate defenders in Fantasy Premier League 2023-24
Data pipeline for Fantasy Premier League. Extracts data for a specified Classic Invitational League. This data is visualised in a Dash web app.
Team selection Recommender Engine for fantasy premier league by analyzing player's historical data of performance in premier league using rule based model.
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.
🏆 FPL Dashboard - Fantasy Premier League Analytics Dashboard with Streamlit
Compiler and fetcher for data from Premier League API. Also used as a personal self-study to analyze and model performance metrics to maximize returns in a returns-based game called Fantasy Premier League (FPL).
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
A Flask web application to help select an optimal Fantasy Premier League (FPL) team based on current player statistics and user-defined constraints.
A collection of datasets for Fantasy Premier League analysis
FPL Mate - Get your team performance, mini-league performance and Watch list picks based on expected goal involvements, points per game, Form, next gameweek expected points and Infuence+Creativity+Threat rank
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.
Fantasy Premier League Analyzer evaluates players based on key metrics such as past performance, ICT index, expected goals (xG), expected assists (xA), upcoming fixtures, availability, and set-piece responsibilities.
FPL DATA CARD
Wield data’s might, and ascend to FPL's shining height!
Fantasy Football optimization
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