Professional Soccer Analytics and Visualization
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30 chapters
~43 hours total
230 pages
1
Front Matter
5 chapters2
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 chapters4
Part III: Player and Team Analysis
6 chapters5
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 chapters7
Part VI: Capstone and Future Directions
3 chapters8
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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