This course explores how football evolved from intuition-driven decision-making to a fully data-powered sport. Learners will uncover the origins of sports analytics through the “Moneyball” revolution in baseball, the rise of shot-quality models in basketball and hockey, and the early pioneers who first applied scientific thinking to football. From Charles Reep’s handwritten data charts to Lobanovskyi’s cybernetic model, the course traces how ideas from statistics, engineering, and computer science gradually reshaped how the game is played and understood.

How Did We Get Here?The Development of Analytics in Football
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How Did We Get Here?The Development of Analytics in Football
This course is part of Maximum Performance and Technology in Sports Specialization

Instructor: Marisa Sáenz
Included with
Recommended experience
What you'll learn
Understand how analytics evolved from early pioneers to modern football data systems.
Explore how clubs use data for scouting, tactics, and competitive advantage.
Learn the foundations of event data, tracking data, xG, xT, and modern value models.
Skills you'll gain
- Learning Styles
- Data Collection
- Performance Analysis
- Data Analysis
- Big Data
- Leadership
- Performance Measurement
- Performance Reporting
- Innovation
- Analysis
- Research
- Descriptive Analytics
- Media and Communications
- Data-Driven Decision-Making
- Analytics
- Business Analytics
- Predictive Analytics
- Spatial Analysis
- Communication
- Small Data
Details to know

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December 2025
8 assignments
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There are 4 modules in this course
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Instructor

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Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea

Real Madrid Graduate School Universidad Europea

University of Michigan
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