Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera División, Serie A and more - No API key required ;-)

This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.

Soccer/football analytics blog posts & data viz from the World Cup, Premier League, Copa America, and beyond. Using ggplot2, ggsoccer, & more. (Est. June 2018) ****Please look at the README for best version of the code!****

Football data for England (and Wales) incl. English Premier League, The Football League (Championship, League One, League Two), Football Conference etc.

An unofficial api client for pulling player Stats, Fixtures, Tables and Results data from the Premier League

Apply machine learning to predict English Premier League soccer match.

Tool that predicts the outcome of a Premier League match.

A Premier League football dashboard.

European Soccer Standings Module for MagicMirror²

⚽ Soccer CLI

Web-scraped Transfermarkt data for all soccer/football transfers in 10 European leagues over 30 seasons

Emacs package to get soccer fixtures, results, standing table etc

Clean datasets for 10 seasons of the English Premier League, including league tables, match stats, and head-to-head performances

Mainly football leagues database of 2023/2024 season in JSON format

A simple console application that enables hackers to get latest soccer scores and fixtures.

Prediction of Premier League results using Machine Learning

Data and regressions on Premier League teams from 2000-01 through to 2016-17

Fbref is a popular football stats/metrics site which collections information from Ted Knutson's StatsBomb. You can save this data in a csv or excel format. This is a Python module which collects any raw csv file from Fbref and plot the data based on whichever two axes you want it to. You can also scrape data from whichever Fbref page you wish to.

Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)

Creation of a Fantasy Premier League data pipeline for analysis of both team & player performance. Technologies include, dbt, Prefect, Terraform & docker