You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
⚽️💥⚽️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.
This is a Python script to scrape historical football data from the football-data.co.uk website. The script utilizes the requests library to fetch data from the website.
📊⚽ 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.
rcgamestats is a script set that uses the RoboCup soccer 2D simulator to execute a large number of matches in a distributed manner and aggregate the match results.
In this project I used the pandas library to manipulate a soccer players data set I found on Kaggle. The goal was to find high value players based on player value compared to player wage and plot all players with a positive difference on an interactive chart.
This is an exploratory analysis of the EPL soccer data for the 2018–2019 season. Using Python, I identified interesting trends to answer specific questions from the data.