Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

Fantasy Premier League Stats, Visualizations & Analysis. ⚽ 📊 📈

Combines FPL data, manually curated match statistics, and historical Elo ratings to deliver advanced insights into player performance and trends. Includes .csv files with weekly and aggregated data for all English Premier League players, teams, and fantasy points.

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.

Generates customized data charts for FPL leagues

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.

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).

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

Repository that contains useful functions of Fantasy Premier League

A Flask web application to help select an optimal Fantasy Premier League (FPL) team based on current player statistics and user-defined constraints.

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.

FPL DATA CARD

Wield data’s might, and ascend to FPL's shining height!

Fantasy Football optimization

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.