Testimonials

"If you are interested in Analytics and Football, it’s an excellent learning resource and highly recommended."

Kenny McMillan, Aspire Academy.

"Thank you for all this course does for the community. I’ll be joining a Brazilian club as a data scientist in the upcoming weeks, and it is crystal clear that it would not happen without your course."

Rodrigo Salvador, Red Bull Bragantino.

"Learned a lot of new things and met incredible people. It was a great experience and I would highly recommend signing up for the course."

Mikha Gabechava, Head Scout, FC Dinamo Tbilisi.

"I appreciated the course very much. I recommend it for anyone interested in gaining (additional) knowledge in data science/analysis in their organization."

Martin Vogelbein, Scouting, Match Analysis and Diagnosis, Deutscher Fußball-Bund.

"My Python coding was a weak area for me, and I really wanted to improve in this so I can be more responsive to the needs of the coach and team. It was a great course, with such useful skills being covered. There are so many analysts working in football, but so much mathematics missing from their skillsets."

Mark Carter, English FA.

"The course tutor dedicated time to sit with me individually, start from scratch, and write a customised step-by-step plan to wrangle one of the file formats I provided him. For me, this was going above and beyond his duties and really assisted me as a relative beginner in Python."

Liam Cody, Pro Solutions Team Lead - APAC & Americas, Statsperform.

"The course combined mathematics, programming, and real-life cases from industry experts - along with three obligatory hand-ins in Python. Being able to apply this course to own data sources and develop bespoke metrics makes this course recommendable."

Simon Eilersen, Football Data Consultant, Danish League.

"I enjoyed the course very much. I enjoyed the relaxed atmosphere, in which I was nevertheless able to gain some exciting insights. It was a great opportunity for me to get familiar with event and tracking data in the context of game analysis/scouting. Especially the insight into presenting the results via Python Streamlit was a big game changer for me. We are now establishing this framework at TSG Hoffenheim."

Fabian Rupp, Business Intelligence & Data Analytics, Hoffenheim.

Soccermatics Pro

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.

The price for eight week Soccermatics Pro course is 1600 euros.

Course contents

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.

Pedagogical approach

Live tutorial with David Sumpter, every Monday 5pm CET. Tutorial's filmed if you miss them.
Small group tutorials and individual help throughout.
Project assignments, which you complete in groups with peers (also working at clubs).
Access to extensive event and tracking data to carry out projects.
Help with your own club-related problems and free consultation from Twelve Football staff.