vickyfriss/Football-analytics
Exploring football and other sports through data. Includes analyses of match events, player performance, xG models, tactical visualizations, and predictive insights.
This project helps football coaches, scouts, and analysts gain deeper insights into team and player performance. By analyzing match event data and player statistics, it generates visualizations of tactics, expected goals (xG) models, and predictive analyses. It's designed for anyone looking to make data-driven decisions in football.
Use this if you need to analyze football match data to understand player performance, evaluate tactics, or predict game outcomes.
Not ideal if you are looking for a plug-and-play application without any data input or analysis on your part.
Stars
17
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/vickyfriss/Football-analytics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.