understatr
engsoccerdata
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understatr | engsoccerdata | |
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2 | 1 | |
81 | 740 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
R | R | |
MIT License | - |
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.
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!
engsoccerdata
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Updated 538 predictions after today's results
"The forecasts are based on a substantially revised version of ESPN’s Soccer Power Index (SPI), a rating system originally devised by FiveThirtyEight editor-in-chief Nate Silver in 2009 for rating international soccer teams. We have updated and adapted SPI to incorporate club soccer data going back to 1888 (from more than 550,000 matches in all) that we’ve collected from ESPN’s database and the Engsoccerdata GitHub repository, as well as from play-by-play data produced by Opta that has been available since 2010."
What are some alternatives?
ggshakeR - An analysis and visualization R package that works with publicly available soccer data
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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.
echarts4r - 🐳 ECharts 5 for R
R-Fundamentals - D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
tanya-data-viz - Personal data visualization side projects.
TidyTuesday - Contribution to Tidytuesday Data Visualization Challenge
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
aorsf - Accelerated Oblique Random Survival Forests
c3plot - R Package for Interactive Plotting via C3.js with a Base Graphics-like Interface