Soccer Analytics in R and Python

Intermediate 10 min read 392 views Nov 25, 2025

Soccer Analytics in R and Python

Get hands-on with the tools that power modern soccer analytics. This chapter covers essential packages, data wrangling techniques, pitch visualizations, and creating dashboards. Learn reproducible analysis workflows.

Topics Covered

  • Essential packages (worldfootballR, mplsoccer, statsbombpy)
  • Data wrangling for soccer data
  • Creating pitch visualizations
  • Shot maps and pass maps
  • Player and team dashboards
  • Reproducible soccer analytics

Discussion

Have questions or feedback? Join our community discussion on Discord or GitHub Discussions.
Table of Contents
Related Topics
Core Soccer Metrics beg
Data Infrastructure and Sources beg
Expected Goals (xG) Fundamentals int
Advanced Shot Metrics int
Introduction to Soccer Analytics beg
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