• Designed a comprehensive match rating system using advanced analytics, contextual adjustments, and key performance metrics like xG and pressing success, ensuring role-specific and game-context evaluation. • Automated data collection with Python and Selenium, leveraging web scraping and processing pipelines to extract player performance data from Soccer Reference for insights-driven modeling.
-
Notifications
You must be signed in to change notification settings - Fork 0
Design of new player match rating system using percentile per-minute performance data
License
nathanawright24/Revamped-Soccer-Match-Rating
About
Design of new player match rating system using percentile per-minute performance data
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published