Professional Soccer Analytics and Visualization

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30 chapters ~43 hours total 230 pages

1

Front Matter

5 chapters

• Professional Soccer Analytics and Visualization
• Preface
• Acknowledgments
• How to Use This Book
• Prerequisites

2

Part I: Foundations of Soccer Analytics

7 chapters

• Part I: Foundations of Soccer Analytics
• Chapter 1: Introduction to Soccer Analytics
• Chapter 2: Data Sources and Collection in Soccer
• Chapter 3: Statistical Foundations for Soccer Analysis
• Chapter 4: Python Tools for Soccer Analytics
• Chapter 5: Introduction to Soccer Metrics
• Chapter 6: The Soccer Pitch as a Coordinate System

3

Part II: Core Analytics and Metrics

6 chapters

• Part II: Core Analytics and Metrics
• Chapter 7: Expected Goals (xG) Models
• Chapter 8: Expected Assists and Chance Creation
• Chapter 9: Expected Threat (xT) and Ball Progression
• Chapter 10: Passing Networks and Analysis
• Chapter 11: Possession and Territorial Control

4

Part III: Player and Team Analysis

6 chapters

• Part III: Player and Team Analysis
• Chapter 12: Defensive Metrics and Analysis
• Chapter 13: Goalkeeper Analysis
• Chapter 14: Set Piece Analytics
• Chapter 15: Player Performance Metrics
• Chapter 16: Team Performance Analysis

5

Part IV: Advanced Analytics Techniques

8 chapters

• Part IV: Advanced Analytics Techniques
• Chapter 17: Spatial Analysis and Pitch Control
• Chapter 18: Tracking Data Analytics
• Chapter 19: Machine Learning for Soccer
• Chapter 20: Predictive Modeling
• Chapter 21: Player Recruitment and Scouting
• Chapter 22: Match Strategy and Tactics
• Chapter 23: Video Analysis and Computer Vision

6

Part V: Advanced Topics and Applications

6 chapters

• Part V: Advanced Topics and Applications
• Chapter 24: Deep Learning in Soccer Analytics
• Chapter 25: Economic Analysis and Player Valuation
• Chapter 26: Injury Prevention and Load Management
• Chapter 27: Real-Time Analytics and Decision Support
• Chapter 28: Building an Analytics Department

7

Part VI: Capstone and Future Directions

3 chapters

• Part VI: Capstone and Future Directions
• Chapter 29: Comprehensive Case Studies
• Chapter 30: The Future of Soccer Analytics

8

Appendices

8 chapters

• Appendix A: Mathematical Foundations
• Appendix B: Statistical Tables and Soccer Benchmarks
• Appendix C: Python Quick Reference for Soccer Analytics
• Appendix D: Data Sources and Tools
• Appendix E: Glossary of Soccer Analytics Terms
• Appendix F: Mathematical and Code Notation Guide
• Appendix G: Answers to Selected Exercises
• Appendix H: Bibliography

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