football_analytics
đź“Šâš˝ 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. (by eddwebster)
worldfootballR
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob (by JaseZiv)
| football_analytics | worldfootballR | |
|---|---|---|
| 5 | 7 | |
| 1,729 | 415 | |
| - | - | |
| 7.2 | 8.5 | |
| 26 days ago | 3 days ago | |
| Jupyter Notebook | R | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
football_analytics
Posts with mentions or reviews of football_analytics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-18.
- 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 repositĂłrio: 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
worldfootballR
Posts with mentions or reviews of worldfootballR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-12.
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[OC] Attacking Productivity: Who is Over-performing this Season and Who has been Lucky?
I found this the other day though, where there is an R package with what looks like a good amount of data. So, when I'm ready I might explore this as this might be the best approach to pull in a lot more players more easily.
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Daily Discussion
https://jaseziv.github.io/worldfootballR/ works really well with publicly available data and does most of the data scraping for you, but if you wanted to access paid stuff then you’ll need something else.
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[OC] A Data Dive into Spurs (lack of) Sub Usage (2nd Least Sub Minutes in League Play)
Data is from FotMob and grabbed via worldfootballR. Highly recommend to anyone looking to play around with soccer data, it's super well documented (as is everything in SportsDataverse). It doesn't have player location and all the advanced stuff but has a lot of rich shot data + match stats/events. worldfootballR has a bunch of fb-ref, understat, and transfermarket data as well.
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data sets about Scottish football
There’s an R package called worldfootballR that can be used to extract data from FBref, Transfermarkt, Understat and FotMob. Most of those sites don’t carry much data about Scottish football but FotMob have some really useful shot location data with xG and xGOT values. Here’s the link to the package: https://github.com/JaseZiv/worldfootballR
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[Q] Looking for downloadable football (soccer) statistics
The worldfootballr R package can help you download from some of the big ones.
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[OC] Liverpool and Real Madrid's paths through the knock out stages to the Champions League final
Source:WorldfootballR package
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[OC] Liverpool Substitutions Using worldfootballR and GT
Data extracted using worldfootballR
What are some alternatives?
When comparing football_analytics and worldfootballR you can also consider the following projects:
open-data - Free football data from StatsBomb
dplyr - dplyr: A grammar of data manipulation
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)
blogdown - Create Blogs and Websites with R Markdown
EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming âš˝
ggplot2 - An implementation of the Grammar of Graphics in R
understatr - fetch understat data
wesanderson - A Wes Anderson color palette for R
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
epanet2toolkit - An R package for calling the Epanet software for simulation of piping networks.
soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
football_analytics vs open-data
worldfootballR vs dplyr
football_analytics vs project
worldfootballR vs blogdown
football_analytics vs EA-FC-24-Automated-SBC-Solving
worldfootballR vs ggplot2
football_analytics vs understatr
worldfootballR vs wesanderson
football_analytics vs sports-analytics
worldfootballR vs epanet2toolkit
football_analytics vs soccerdata
worldfootballR vs soccerdata