soccer-data
There are 91 repositories under soccer-data topic.
eddwebster/football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
ML-KULeuven/socceraction
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
probberechts/soccerdata
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
JaseZiv/worldfootballR
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
jfjelstul/worldcup
A Comprehensive Database on the FIFA World Cup (Men's and Women's)
diegopastor/awesome-football-analytics
A curated list of football analytics awesome resources, articles, books and more!
jfjelstul/englishfootball
A Comprehensive Database on the Premier League and the English Football League (1888-2024)
schochastics/football-data
football (soccer) datasets
im-parsa/LiveSoccer
The Open-Source Live Football Standing
MatheusGatti/Soccer-Corners-Crawler-and-Bot
It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.
sanjitva/Predicting-Football-Player-Transfer-Values
Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.
Torvaney/understat-db
Create a database of ⚽️ data from understat.com
slvler/livescore-service
Live Score Client for api-football.com
umitkaanusta/MacTahminBotu
A bot that provides soccer predictions using Poisson regression
somdeep/Statball
Statball - Football soccer stats analyser from top 5 european leagues with data obtained by web scraping from Fbref and Statsbomb
hoyishian/footballwebscraper
This is a web scraper that helps to scrape football data from FBRef.com. It can scrape data from the top 5 Domestic League games. It can be easily edited to scrape data from other leagues as well as from other competitions such as Champions League, Domestic Cup games, friendlies, etc.
oritzio/football-database
Mainly football leagues database of 2023/2024 season in JSON format
Torvaney/wyscoutapi
wyscoutapi is an extremely basic API client for the Wyscout API (v2 & v3) for Python
ErcinDedeoglu/LiveSoccerScores
⚽️💥⚽️Live soccer scores, fixtures, and results. It uses API to retrieve up-to-date information from a reliable source, and presents it in an easy-to-use interface. Whether you're a soccer fan or just need to stay informed for work or research, this project is a great tool for keeping track of the latest scores, fixtures, and results.
ricardomattos05/Brazilian-Soccer-Data
Scraping and updating of data from the championships that Brazilian soccer teams participate in
cosmoduende/r-ggsoccer
StrangeR things: Visualizing Soccer Data with R… on a Soccer Pitch? How to analyze, visualize and report soccer data and strategies on a soccer pitch with the "ggsoccer" package
Costasgk/ScoreCast
http://scorecast-env.eba-dixbcmhw.eu-central-1.elasticbeanstalk.com/
EmilDanielsson/Player-Rating-Project
This project aims to rate football players using data and statistics recorded from the last match they participated in. Much of the code included in this project can be used for other purposes when working with the Wyscout data set. For example minutes_played.py, fitting_functions.py and KPI_functions.py.
buckthorndev/The-Football-Data
Home of football data
Mostafa-Nafie/Football-Object-Detection
This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.
teomores/epl-oracle
Predicting EPL results improving the betting odds.
jmlee8939/whoscored_crawling
soccer_data_crawling
Ryo-N7/CanPL_Analysis
Provide some examples for creating a data pipeline with the {googledrive} package and Github Actions
arinzecode/Nunez-vs-Haaland-Radar-Plot
The top teams in the English Premier League in the 2021-22 season, Manchester City and Liverpool FC, have gone ahead during this off season to add classic NO.9s to their already stellar attack options. Let's see how these two player stack up against each order using radar plot. Data source is FBref via Statsbomb.
R4XZ/PY-Sports
Python Discord bot, powered by the API-Football API, designed to bring you real-time sports data right into your Discord server!
sathishprasad/Football-Analytics-with-python
This repository will contain all sorts of basic visualisation to step into the world of football analytics
horony/ftsy-bundesliga
Private Bundesliga fantasy manager game.
jimtje/totalcorner
totalcorner.com api client
Marcool11/FootballManager22-Analysis
Using python to analyze players' stats and attributes.
SankalpMehani/premier-league-predictor
This project utilizes machine learning regression algorithms to predict the outcomes and standings of the current English Premier League (EPL) season. By analyzing historical data and leveraging various regression models, it offers insights into team performance and aims to provide a glimpse into how the EPL season may unfold.