Future of data and technology in football

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Future of data and technology in football

This course is part of Maximum Performance and Technology in Sports Specialization

Instructor: Marisa Sáenz

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explore how AI, ML, and tracking technologies will shape the future of football analysis.
Understand LLMs, wordalisation, and automated scouting workflows.
Discover how supervised and reinforcement learning can power next-generation tactical and performance systems.

Skills you'll gain

Tools you'll learn

AI Workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Maximum Performance and Technology in Sports Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
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Earn a shareable career certificate

There are 4 modules in this course

This course explores the emerging technologies that will shape the future of football analytics, from advanced tracking systems and live data pipelines to machine learning, LLMs, and AI-driven decision tools. Learners will understand how innovations such as computer vision, skeleton tracking, body-orientation models, and contextual load monitoring are transforming the way clubs analyze performance, manage fatigue, and make in-match tactical adjustments.

The course also examines how AI is revolutionizing scouting and recruitment: from automated LLM-generated scouting reports and narrative “wordalisation,” to web scraping, social-media analysis, and multimodal data pipelines. Finally, learners will explore cutting-edge developments in performance AI, including reinforcement-learning concepts inspired by AlphaZero, supervised learning for tactical tagging, and AI assistant-coach systems that recognize patterns across thousands of match situations. By completing this course, learners will gain a forward-looking understanding of how machine learning, automation, and next-generation data systems will redefine competition, recruitment, coaching, and performance across the football industry.

Discover how granular tracking of player movement—down to body orientation—offers new windows into decision-making and defensive mastery. This module unpacks both the opportunities and challenges of skeleton data, revealing how advanced tracking is poised to revolutionize tactical understanding and player evaluation.

What's included

4 videos4 readings2 assignments

4 videos Total 18 minutes

The Hidden Dimension: How Body Orientation Shapes Football Decision-Making 3 minutes
Beyond Coordinates: Why Traditional Metrics Miss the Orientation Dimension 4 minutes
Beyond the Dot: How Skeleton Tracking Is Revolutionizing Football Data 4 minutes
The Invisible Game: Why Defensive Performance is the Hardest Thing to Evaluate in Football 6 minutes

4 readings Total 160 minutes

Welcome reading 5 minutes
Complementary Resources on Evaluating Body Orientation in Football: Impact on Decision-Making and the Limits of xT Without Context 50 minutes
Complementary Resources on Skeleton Tracking in Sports: Data Collection Challenges, Dataset Scale, and the Path to Accessibility 45 minutes
Complementary Resources on How Advanced Tracking Data Reveals Elite Defensive Performance 60 minutes

2 assignments Total 60 minutes

The rise of skeleton data 30 minutes
The rise of skeleton data 30 minutes

Dive into the real-time world of live football analytics. Learn about current technological limits, the quest for more actionable in-game data, and how innovations in physical load tracking and tactical flagging are set to influence everything from substitutions to strategic adjustments on the fly.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 26 minutes

Understanding Live Football Data: Types, Collection Methods, and Current Applications 4 minutes
The Gap Between Potential and Reality: Limitations and Challenges of Live Data in Football 4 minutes
Real-Time Monitoring of Player Fatigue: Enhancing Performance and Preventing Injuries 5 minutes
Contextualizing Physical Load: Integrating Data for Enhanced Injury Prevention 5 minutes
Real-Time Tactical Analysis: Transforming Live Data into Actionable Insights 4 minutes
Data Integration and AI: Uncovering Deeper Tactical Patterns 4 minutes

3 readings Total 160 minutes

Complementary Resources on The Current Limitations of Live Data: Gaps in Speed, Detail, and Practical Use in Clubs 80 minutes
Complementary Resources on Improving Substitution Decisions: From Physical Load Tracking to Context-Aware Fatigue Monitoring 50 minutes
Complementary Resources on Tactical analysis: flagging patterns, structures, weaknesses and strengths 30 minutes

2 assignments Total 60 minutes

Live Data 30 minutes
Live Data 30 minutes

1 discussion prompt Total 10 minutes

Live Data 10 minutes

Examine the emerging role of artificial intelligence in player scouting. This module explores how large language models are automating report generation, the current obstacles in AI-driven evaluations, and how new data approaches are making player profiles more comprehensive and actionable than ever before.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 30 minutes

Understanding Large Language Models and Their Application in Football Scouting 5 minutes
Wordalisation in Football: Translating Player Data into Scouting Narratives 5 minutes
The Uncertain Scout: Understanding LLM Indecisiveness in Football Talent Evaluation 5 minutes
Prompt Engineering Gone Wrong: How Biased Inputs Skew LLM Scouting Reports 5 minutes
Transforming the Information Overload: How LLMs Streamline Player Data for Elite Scouting 5 minutes
Web Scraping and Social Media Analysis: Gathering Comprehensive Player Data for LLM Processing 5 minutes

3 readings Total 310 minutes

Complementary Resources on AI Scouting Reports: Automating Player Performance Assessments with Large Language Models 125 minutes
Complementary Resources on Limitations of LLMs: Lack of decisiveness & prompting biases can lead to ineffective scouting 75 minutes
Complementary Resources on New type of data: Enhancing scouting by condensing player information through LLMs 110 minutes

2 assignments Total 60 minutes

AI in Scouting 30 minutes
AI in Scouting 30 minutes

1 discussion prompt Total 10 minutes

AI in Scouting 10 minutes

Unpack the next wave of AI-driven performance analytics. From unsupervised learning inspired by chess to AI assistant coaches and automated data tagging, you’ll see how machine learning is reshaping not just how we analyze football, but how we understand and optimize the game itself.

What's included

6 videos3 readings2 assignments1 discussion prompt

6 videos Total 28 minutes

AlphaZero's Revolution: How Unsupervised Learning Changed Chess Forever 4 minutes
From Chess to Football: Applying Unsupervised Learning to Transform Football Tactics 4 minutes
Training the Machine: How Supervised Learning Transforms Football Video Analysis 5 minutes
From Insight to Impact: Automating Tactical Analysis with Machine Learning 5 minutes
The Computer Vision Revolution: How AI is Transforming Football Data Collection 5 minutes
Data Democratization: How AI is Making Advanced Football Analytics Accessible to All 5 minutes

3 readings Total 275 minutes

Complementary Resources on Unsupervised learning: Transforming Chess and Its Potential Impact on Football 110 minutes
Complementary Resources on AI assistant coach: Leveraging Machine Learning to Recognize and Evaluate Tactical Concepts 90 minutes
Complementary Resources on AI data gathering: Revolutionizing Football Data Collection with AI Tagging 75 minutes

2 assignments Total 60 minutes

AI in Performance 30 minutes
AI in Performance 30 minutes

1 discussion prompt Total 10 minutes

AI in Performance 10 minutes

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Instructor

Marisa Sáenz

Real Madrid Graduate School Universidad Europea

48 Courses 6,651 learners

Offered by

Real Madrid Graduate School Universidad Europea

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