football_analytics
understatr
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| football_analytics | understatr | |
|---|---|---|
| 5 | 2 | |
| 1,706 | 81 | |
| - | - | |
| 7.3 | 0.0 | |
| 9 days ago | over 2 years ago | |
| Jupyter Notebook | R | |
| - | MIT License |
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football_analytics
- Football Analytics Bible: A collection of projects, data, and analysis
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The Goalkeepers with the most Saves in the Top-5-Leagues since 1999/00
Just wondering, because I found this recently and thought about starting getting into football analytics
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[OptaJoe]2009 - Arsenal have won a Premier League game they were losing at half-time outside of London for the first time since December 2009 (2-1 at Liverpool). Temperament.
You can check statsbomb open data but you will to preprocess it from json to sql. They have great course and articles about analyzing the data. Another good reading is awasome-football . They provide list of resources to get data. But the most comprehensive and recommended resources eddwebster's guide. He worked for city football group and his repository updated frequently.
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Pra quem gosta de análise de dados no futebol
Segue o link do repositório: https://github.com/eddwebster/football_analytics
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Weekly Open Thread - General Discussion
I found a great collection for anyone who's interested in football analytics
understatr
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[OC] Visualising shot-creating actions in football - all Arsenal players with over 5 shot-creating actions in PL 2020/21
Additional credit: understatr package, https://github.com/ewenme/understatr
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How Aston Villa went from surviving to thriving in the Premier League
Thanks! Understat.com has great xG data and allows you to pull it into R very easily (like this)[https://github.com/ewenme/understatr]. There were also a couple random pieces of information that I found at whoscored.com. Thanks for reading!
What are some alternatives?
open-data - Free football data from StatsBomb
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)
engsoccerdata - English and European soccer results 1871-2022
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽
echarts4r - 🐳 ECharts 5 for R
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
socceraction - Convert soccer event stream data to SPADL and value player actions using VAEP or xT
sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.
opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.