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How Did We Get Here?The Development of Analytics in Football

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

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How Did We Get Here?The Development of Analytics 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

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.

Compétences que vous acquerrez

Catégorie : Communication
Catégorie : Media and Communications
Catégorie : Predictive Analytics
Catégorie : Performance Analysis
Catégorie : Data Analysis
Catégorie : Advanced Analytics
Catégorie : Innovation
Catégorie : Business Analytics
Catégorie : Data Collection
Catégorie : Learning Styles
Catégorie : Performance Reporting
Catégorie : Performance Measurement
Catégorie : Spatial Data Analysis
Catégorie : Analytics
Catégorie : Analysis
Catégorie : Data-Driven Decision-Making
Catégorie : People Analytics
Catégorie : Digital Analysis
Catégorie : Leadership
Catégorie : Descriptive Analytics

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

décembre 2025

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8 devoirs

Enseigné en Anglais

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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 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.

As technology advanced, video analysis, event data, and tracking systems transformed how clubs evaluated performance, recruited players, and designed tactics. Case studies show how modern clubs exploit data to find market inefficiencies and gain competitive advantages. By the end of this course, learners will understand the milestones, people, and technologies behind football’s analytics revolution — and how they paved the way for the sophisticated models used today.

Détails du module

Discover how American sports like baseball, basketball, and hockey pioneered data-driven approaches. This module highlights the game-changing impact of analytics, from the Moneyball era in baseball to the mathematical revolutions in basketball and hockey, revealing lessons that set the stage for football’s own data transformation.

Inclus

6 vidéos4 lectures2 devoirs

6 vidéosTotal 26 minutes

Breaking the Mold: How the Oakland A's Revolutionized Sports with Data5 minutes
Inside the Moneyball Strategy: The Science of Finding Undervalued Talent4 minutes
The Mathematical Revolution: How the Three-Point Shot Changed Basketball Forever4 minutes
Adapting to the Revolution: How the Three-Point Shot Transformed Player Development and Team Building5 minutes
Beyond the Goals: How Corsi Transformed Hockey Analytics4 minutes
Beyond Instinct: PDO, Regression, and Optimizing Goalie-Pulling Strategies5 minutes

4 lecturesTotal 190 minutes

Welcome reading5 minutes
Complementary Resources on Oakland Athletics: The first team to leverage the power of data90 minutes
Complementary Resources on Three is More than Two: The basketball revolution50 minutes
Complementary Resources on The Hockey Data Revolution: The power of volume45 minutes

2 devoirsTotal 60 minutes

Becoming Professional: The Advent of Analytics in Baseball and Other Major American Sports30 minutes
Becoming Professional: The Advent of Analytics in Baseball and Other Major American Sports30 minutes

Trace the journey of analytics in football, from early innovators to today’s most data-savvy clubs. Learn how advances in video analysis and event data tagging fueled a new era of evidence-based decision making, and dive into case studies of teams that have redefined success through analytics.

Inclus

6 vidéos3 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 24 minutes

Pioneering Data Collection in Football: Charles Reep's Revolutionary Approach4 minutes
The Scientific Revolution: Valeriy Lobanovskyi's Data-Driven Coaching Methods4 minutes
From Analog to Digital: The Evolution of Video Analysis in Football4 minutes
The Rise of Event Data Tagging: How Opta and Prozone Revolutionized Football Analysis4 minutes
The Analytics Revolution: How Two English Clubs Changed Football Forever4 minutes
Data Revolution: Set-Piece Mastery and Performance Optimization4 minutes

3 lecturesTotal 130 minutes

Complementary Resources on Early Football Data Analysis — The First Disconnected Developments45 minutes
Complementary Resources on The Increasing Availability of Video Footage: How data became more common30 minutes
Complementary Resources on Case Studies on three Football Clubs55 minutes

2 devoirsTotal 60 minutes

The Football Data Revolution: The Rise of Data-Driven Clubs30 minutes
The Football Data Revolution: The Rise of Data-Driven Clubs30 minutes

1 sujet de discussionTotal 10 minutes

The Football Data Revolution: The Rise of Data-Driven Clubs10 minutes

Meet the companies, clubs, and media outlets that have shaped the landscape of football analytics. This module explores the rise of major data providers, the evolution of club strategies, and the powerful role media and public discourse play in driving the analytics movement forward.

Inclus

6 vidéos3 lectures2 devoirs1 sujet de discussion

6 vidéosTotal 31 minutes

The Evolution of Football Data Providers: Opta, StatsBomb, and the Rise of Event Data4 minutes
Beyond Events: Tracking Data, Advanced Metrics, and Vertical Integration in Football Analytics6 minutes
Early Adoption and the Shift to Data-Driven Recruitment5 minutes
Data-Driven Multi-Club Models and Future Trends6 minutes
Media's Integration of Analytics and Its Impact on Public Perception5 minutes
Social Media's Impact and the Challenges of Statistical Discourse5 minutes

3 lecturesTotal 210 minutes

Complementary Resources on The Main Companies: Hudl, Opta (StatsPerform), StatsBomb, Impect, SkillCorner, Respo.vision and others60 minutes
Complementary Resources on The Main Clubs – Early Adoption and Evolution of Data Analytics in Football75 minutes
Complementary Resources on The Role of Media: How public discourse shapes analytics75 minutes

2 devoirsTotal 60 minutes

The Important Actors: Who Has Driven the Development in the Modern Data Era30 minutes
The Important Actors: Who Has Driven the Development in the Modern Data Era30 minutes

1 sujet de discussionTotal 10 minutes

The Important Actors: Who Has Driven the Development in the Modern Data Era10 minutes

Unpack the academic breakthroughs behind today’s most influential football metrics. Explore the origins of expected goals (xG), the rise of possession-based value models, and the introduction of pitch control and spatial analysis through tracking data—concepts that continue to shape the future of football analytics.

Inclus

4 vidéos3 lectures2 devoirs1 sujet de discussion

4 vidéosTotal 19 minutes

The Origins and Evolution of Expected Goals4 minutes
Foundations of Possession Value Models4 minutes
Key Possession-Based Models and Their Applications5 minutes
Pitch Control: Introducing Tracking Data and Spatial Modeling6 minutes

3 lecturesTotal 235 minutes

Complementary Resources on Shot-Based Value Models: The Evolution of Expected Goals (xG)75 minutes
Complementary Resources on Possession-Based Value Models: Understanding ball progression45 minutes
Complementary Resources on Pitch Control: Introducing tracking data and spatial modeling115 minutes

2 devoirsTotal 60 minutes

The Academic Advancements: What Papers and Concepts Have Pushed the Field Forward30 minutes
The Academic Advancements: What Papers and Concepts Have Pushed the Field Forward30 minutes

1 sujet de discussionTotal 10 minutes

The Academic Advancements: What Papers and Concepts Have Pushed the Field Forward10 minutes

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