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Future of data and technology in football · LearnSpace
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Future of data and technology in football

Курс от Real Madrid Graduate School Universidad Europea
Начальный≈ 21.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Large Language ModelingComputer VisionSupervised LearningReinforcement LearningReal Time DataLLM ApplicationNatural Language ProcessingInnovationAutomationAnalyticsImage AnalysisArtificial Intelligence and Machine Learning (AI/ML)Applied Machine LearningGenerative AI AgentsWeb ScrapingData CollectionData CaptureAnalysisPeople AnalyticsData Presentation

Программа курса

4 модулей · 47 учебных материалов

01The rise of skeleton data11 материалов

Course introduction

Welcome readingЧтение

Evaluating Body Orientation in Football: Impact on Decision-Making and the Limits of xT Without Context

The Hidden Dimension: How Body Orientation Shapes Football Decision-MakingВидеоBeyond Coordinates: Why Traditional Metrics Miss the Orientation DimensionВидеоComplementary Resources on Evaluating Body Orientation in Football: Impact on Decision-Making and the Limits of xT Without Context

Учитесь у экспертов

Marisa Sáenz

Преподаватель курса

Future of data and technology in football
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Обучение на Coursera

≈ 21.5 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

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Чтение

Skeleton Tracking in Sports: Data Collection Challenges, Dataset Scale, and the Path to Accessibility

Beyond the Dot: How Skeleton Tracking Is Revolutionizing Football DataВидеоComplementary Resources on Skeleton Tracking in Sports: Data Collection Challenges, Dataset Scale, and the Path to AccessibilityЧтение

How Advanced Tracking Data Reveals Elite Defensive Performance

The Invisible Game: Why Defensive Performance is the Hardest Thing to Evaluate in FootballВидеоComplementary Resources on How Advanced Tracking Data Reveals Elite Defensive PerformanceЧтение

Assignments

The rise of skeleton dataЗаданиеThe rise of skeleton dataЗаданиеWhy xT Isn’t Enough: Adding the Missing ContextDIALOGUE
02Live Data12 материалов

The Current Limitations of Live Data: Gaps in Speed, Detail, and Practical Use in Clubs

Understanding Live Football Data: Types, Collection Methods, and Current ApplicationsВидеоThe Gap Between Potential and Reality: Limitations and Challenges of Live Data in FootballВидеоComplementary Resources on The Current Limitations of Live Data: Gaps in Speed, Detail, and Practical Use in ClubsЧтение

Improving Substitution Decisions: From Physical Load Tracking to Context-Aware Fatigue Monitoring

Real-Time Monitoring of Player Fatigue: Enhancing Performance and Preventing InjuriesВидеоContextualizing Physical Load: Integrating Data for Enhanced Injury PreventionВидеоComplementary Resources on Improving Substitution Decisions: From Physical Load Tracking to Context-Aware Fatigue MonitoringЧтение

Tactical analysis: flagging patterns, structures, weaknesses and strengths

Real-Time Tactical Analysis: Transforming Live Data into Actionable InsightsВидеоData Integration and AI: Uncovering Deeper Tactical PatternsВидеоComplementary Resources on Tactical analysis: flagging patterns, structures, weaknesses and strengthsЧтение

Assignments

Live DataЗаданиеLive DataЗаданиеLive DataОбсуждение
03AI in Scouting12 материалов

AI Scouting Reports: Automating Player Performance Assessments with Large Language Models

Understanding Large Language Models and Their Application in Football ScoutingВидеоWordalisation in Football: Translating Player Data into Scouting NarrativesВидеоComplementary Resources on AI Scouting Reports: Automating Player Performance Assessments with Large Language ModelsЧтение

Limitations of LLMs: Lack of decisiveness & prompting biases can lead to ineffective scouting

The Uncertain Scout: Understanding LLM Indecisiveness in Football Talent EvaluationВидеоPrompt Engineering Gone Wrong: How Biased Inputs Skew LLM Scouting ReportsВидеоComplementary Resources on Limitations of LLMs: Lack of decisiveness & prompting biases can lead to ineffective scoutingЧтение

New type of data: Enhancing scouting by condensing player information through LLMs

Transforming the Information Overload: How LLMs Streamline Player Data for Elite ScoutingВидеоWeb Scraping and Social Media Analysis: Gathering Comprehensive Player Data for LLM ProcessingВидеоComplementary Resources on New type of data: Enhancing scouting by condensing player information through LLMsЧтение

Assignments

AI in ScoutingЗаданиеAI in ScoutingЗаданиеAI in ScoutingОбсуждение
04AI in Performance12 материалов

Unsupervised learning: Transforming Chess and Its Potential Impact on Football

AlphaZero's Revolution: How Unsupervised Learning Changed Chess ForeverВидеоFrom Chess to Football: Applying Unsupervised Learning to Transform Football TacticsВидеоComplementary Resources on Unsupervised learning: Transforming Chess and Its Potential Impact on FootballЧтение

AI assistant coach: Leveraging Machine Learning to Recognize and Evaluate Tactical Concepts

Training the Machine: How Supervised Learning Transforms Football Video AnalysisВидеоFrom Insight to Impact: Automating Tactical Analysis with Machine LearningВидеоComplementary Resources on AI assistant coach: Leveraging Machine Learning to Recognize and Evaluate Tactical ConceptsЧтение

AI data gathering: Revolutionizing Football Data Collection with AI Tagging

The Computer Vision Revolution: How AI is Transforming Football Data CollectionВидеоData Democratization: How AI is Making Advanced Football Analytics Accessible to AllВидеоComplementary Resources on AI data gathering: Revolutionizing Football Data Collection with AI TaggingЧтение

Assignments

AI in PerformanceЗаданиеAI in PerformanceЗаданиеAI in PerformanceОбсуждение