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Future of data and technology in football

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Future of data and technology in football

Ce cours fait partie de Spécialisation "Maximum Performance and Technology in Sports"

Instructeur : Marisa Sáenz

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Supervised Learning
Catégorie : Machine Learning Methods
Catégorie : Machine Learning
Catégorie : Innovation
Catégorie : LLM Application
Catégorie : Automation
Catégorie : Artificial Intelligence
Catégorie : Applied Machine Learning
Catégorie : Data-Driven Decision-Making
Catégorie : Natural Language Processing
Catégorie : Real Time Data
Catégorie : Analysis
Catégorie : Data Integration
Catégorie : Reinforcement Learning
Catégorie : Large Language Modeling
Catégorie : Data Presentation
Catégorie : Computer Vision
Catégorie : Analytics

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

décembre 2025

Évaluations

8 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Ce cours fait partie de la Spécialisation "Maximum Performance and Technology in Sports"

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Il y a 4 modules dans ce cours

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.

Détails du module

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.

Inclus

4 vidéos4 lectures2 devoirs

4 vidéosTotal 18 minutes

The Hidden Dimension: How Body Orientation Shapes Football Decision-Making3 minutes
Beyond Coordinates: Why Traditional Metrics Miss the Orientation Dimension4 minutes
Beyond the Dot: How Skeleton Tracking Is Revolutionizing Football Data4 minutes
The Invisible Game: Why Defensive Performance is the Hardest Thing to Evaluate in Football6 minutes

4 lecturesTotal 160 minutes

Welcome reading5 minutes
Complementary Resources on Evaluating Body Orientation in Football: Impact on Decision-Making and the Limits of xT Without Context50 minutes
Complementary Resources on Skeleton Tracking in Sports: Data Collection Challenges, Dataset Scale, and the Path to Accessibility45 minutes
Complementary Resources on How Advanced Tracking Data Reveals Elite Defensive Performance60 minutes

2 devoirsTotal 60 minutes

The rise of skeleton data30 minutes
The rise of skeleton data30 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.

Inclus

6 vidéos3 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 26 minutes

Understanding Live Football Data: Types, Collection Methods, and Current Applications4 minutes
The Gap Between Potential and Reality: Limitations and Challenges of Live Data in Football4 minutes
Real-Time Monitoring of Player Fatigue: Enhancing Performance and Preventing Injuries5 minutes
Contextualizing Physical Load: Integrating Data for Enhanced Injury Prevention5 minutes
Real-Time Tactical Analysis: Transforming Live Data into Actionable Insights4 minutes
Data Integration and AI: Uncovering Deeper Tactical Patterns4 minutes

3 lecturesTotal 160 minutes

Complementary Resources on The Current Limitations of Live Data: Gaps in Speed, Detail, and Practical Use in Clubs80 minutes
Complementary Resources on Improving Substitution Decisions: From Physical Load Tracking to Context-Aware Fatigue Monitoring50 minutes
Complementary Resources on Tactical analysis: flagging patterns, structures, weaknesses and strengths30 minutes

2 devoirsTotal 60 minutes

Live Data30 minutes
Live Data30 minutes

1 sujet de discussionTotal 10 minutes

Live Data10 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.

Inclus

6 vidéos3 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 30 minutes

Understanding Large Language Models and Their Application in Football Scouting5 minutes
Wordalisation in Football: Translating Player Data into Scouting Narratives5 minutes
The Uncertain Scout: Understanding LLM Indecisiveness in Football Talent Evaluation5 minutes
Prompt Engineering Gone Wrong: How Biased Inputs Skew LLM Scouting Reports5 minutes
Transforming the Information Overload: How LLMs Streamline Player Data for Elite Scouting5 minutes
Web Scraping and Social Media Analysis: Gathering Comprehensive Player Data for LLM Processing5 minutes

3 lecturesTotal 310 minutes

Complementary Resources on AI Scouting Reports: Automating Player Performance Assessments with Large Language Models125 minutes
Complementary Resources on Limitations of LLMs: Lack of decisiveness & prompting biases can lead to ineffective scouting75 minutes
Complementary Resources on New type of data: Enhancing scouting by condensing player information through LLMs110 minutes

2 devoirsTotal 60 minutes

AI in Scouting30 minutes
AI in Scouting30 minutes

1 sujet de discussionTotal 10 minutes

AI in Scouting10 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.

Inclus

6 vidéos3 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 28 minutes

AlphaZero's Revolution: How Unsupervised Learning Changed Chess Forever4 minutes
From Chess to Football: Applying Unsupervised Learning to Transform Football Tactics4 minutes
Training the Machine: How Supervised Learning Transforms Football Video Analysis5 minutes
From Insight to Impact: Automating Tactical Analysis with Machine Learning5 minutes
The Computer Vision Revolution: How AI is Transforming Football Data Collection5 minutes
Data Democratization: How AI is Making Advanced Football Analytics Accessible to All5 minutes

3 lecturesTotal 275 minutes

Complementary Resources on Unsupervised learning: Transforming Chess and Its Potential Impact on Football110 minutes
Complementary Resources on AI assistant coach: Leveraging Machine Learning to Recognize and Evaluate Tactical Concepts90 minutes
Complementary Resources on AI data gathering: Revolutionizing Football Data Collection with AI Tagging75 minutes

2 devoirsTotal 60 minutes

AI in Performance30 minutes
AI in Performance30 minutes

1 sujet de discussionTotal 10 minutes

AI in Performance10 minutes

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