understatr VS engsoccerdata

Compare understatr vs engsoccerdata and see what are their differences.

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understatr engsoccerdata
2 1
81 740
- -
0.0 0.0
over 2 years ago over 1 year ago
R R
MIT License -
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.

understatr

Posts with mentions or reviews of understatr. We have used some of these posts to build our list of alternatives and similar projects.

engsoccerdata

Posts with mentions or reviews of engsoccerdata. We have used some of these posts to build our list of alternatives and similar projects.
  • Updated 538 predictions after today's results
    1 project | /r/coys | 16 Apr 2022
    "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?

When comparing understatr and engsoccerdata you can also consider the following projects:

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