Soccermatics Pro
For aspiring football data scientists who want to learn the full technical stack, from Python and stats to machine learning, needed to work in the professional game.
By Professor David Sumpter
When: November - January 2025
Duration: Ten weeks
Price: €1695 + VAT
Course introduction
On our Flagship course, you will learn how to understand the game using mathematics, statistics, and machine learning. It offers the technical skills, in Python, needed to work as a data scientist at a football club or in the football industry. The course utilises data from leading data providers, including event, tracking, and physical data. Taught by Soccermatics author David Sumpter and supported by Twelve experts as tutors, the course also features guest lectures from world-leading practitioners and researchers working with data in football.
Course content
Week 1: Visualising football data: passes, shots and defensive actions
Week 2: Statistical models and expected goals.
Week 3: Scouting: player metrics and radars.
Week 4: Position-based and action-based Expected threat.
Week 5: Developing team metrics for long-term success.
Week 6: Pitch control and tracking data.
Week 7: Advanced scouting metrics for off-ball movement.
Week 8: Using large language models in football.
Week 9: Introduction to deep learning.
Week 10: Student presentations.
Pedagogical approach
Live tutorial with David Sumpter (recorded for later viewing)
Small group sessions and one-on-one support
Group projects with peers working at real clubs
Access to rich event and tracking data for hands-on work
Get help with club-specific challenges from Twelve staff
Professor David Sumpter
Professor David Sumpter is a professor of applied mathematics at Uppsala University and the author of “Soccermatics,” a book that explores the application of mathematical modeling to football. He co-founded Twelve Football and has worked with major clubs and national federations worldwide.