There are 2 repositories under fpl-analysis topic.
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
Fantasy Premier League Stats, Visualizations & Analysis. :soccer: :bar_chart: :chart_with_upwards_trend:
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.
Use bookies' odds to optimise fantasy premier league performance
Some basic scripts to generate FPL statistics and analysis for FPL and number geeks
FPL Analysis for Fantasy Premier League Managers
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.
Football player analytics with optimization model to create the best possible fantasy football team, through a maximization with constraints problem.
FPL 5 - Incorporating player costs to optimise squad selection
Attempt at automating fantasy premier league team selection
Repository that contains useful functions of Fantasy Premier League
Scoreblimey is the home for a Beta Free #FPL Stats Service
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
FPL 4 -Predicting FPL player points based on predicted goals, scored, conceded and player form.
Using Machine Learning to Mitigate Human Bias: Fantasy Football
A web-app to analysis your FPL game stats
Grabs data from the FPL API and creates a dataframe of all players in the English Premier League with their corresponding data, e.g. total points, goals, average points. Also creates .CSV files for data from each game week
Web Application for Fantasy Premier League Analysis Using Streamlit
FPL DATA CARD
Ironhack project, week 4: Tableau - choose a data set, explore the data using Tableau, and put together a Story for presentation showing the insights you have derived from the data. I chose to analyse the decisions and tactics of the Top 50 Fantasy Premier League managers for the 2019/20 season.