Why you should take this course



Course Curriculum


  Why you should take this course!
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  Getting started with football data
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  Visualising footballing actions
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  Project 1: understanding a player with data
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  Scouting with data
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  Creating a Streamlit App
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  Machine learning and models
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  Expected goals
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  Project 2: Expected pass value
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  Expected threat
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  Transfer predictions
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  Simulating matches
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  Introduction to tracking data
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  Physical metrics
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  Formations and tactics
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  Pitch control
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  Scouting with tracking data
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  Introduction to deep learning
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Course Introduction

The course is the proven way into the sports analytics industry: many of those working for Premier League clubs have followed it. Now it is your chance to understand the game using mathematics, statistics, and machine learning. It offers the technical skills, in Python, needed to work in the football industry. The course utilises data from leading data providers, including event, tracking, and physical data. Taught online 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.

If you have any questions, feel free to reach out to courses@twelve.football.

Pedagogical approach

  • Exclusive lectures by David Sumpter (recorded for later viewing)
  • Feedback and one-on-one support
  • Group projects with peers working at clubs
  • Access to rich event and tracking data for hands-on work
  • Get help with club-specific challenges from Twelve staff






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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.