@SkillCorner released nine games worth of broadcast tracking data for the top games of the 2019/2020 season in this repository as part of the Friends of Tracking Initiative.
This repository aims to provide an overview into resources for analyzing the games, working with the data and showcasing applications of the broadcast tracking data.
It would be especially nice if this could spark a collaboration of people with different strengths and backgrounds like analyzing the games and singling out key tactical ideas important in a specific game, people with the technical skills needed to implement those very ideas and people whose strength lie in the communication of those ideas via words, graphics and videos.
If you create something based on the SkillCorner data, please let @SkillCorner know on Twitter and if you want to have it linked to or showcased in this repository, open an issue or mention / DM me on my twitter handle @danzn1.
If you know of further existing analysis about those games, please let me know or create a Pull Request.
I welcome contributions!
- Watch The Game On Footballia
- WhoScored MatchCentre
- Miasanrot Game Review (DEU)
- Between the Posts Match Analysis
- Watch The Game On Footballia
- WhoScored MatchCentre
- Miasanrot Game Review (DEU)
- Between the Posts Match Analysis
- @cc_eckner Game Preview Video Blog on Spielverlagerung (DEU)
- Watch The Game On Footballia
- WhoScored MatchCentre
- Between the Posts Match Analysis
- Spielverlagerung.com Match Analysis
PySport's kloppy is a python package that standardizes the handling of various event and tracking data providers and supports SkillCorner data. Look here for a quickstart.
Lars Maurath has released a First Look at SkillCorner's Open Source Tracking Dataset using R.