Professional Football Analytics and Visualization

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28 chapters ~13 hours total 126 pages

1

Front Matter

5 chapters

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

2

Part I: Foundations of Football Analytics

6 chapters

• Part I: Foundations of Football Analytics
• Chapter 1: Introduction to Football Analytics
• Chapter 2: The NFL Data Ecosystem
• Chapter 3: Python for Football Analytics
• Chapter 4: Exploratory Data Analysis for Football
• Chapter 5: Statistical Foundations for Football Analytics

3

Part II: Player Performance Analytics

7 chapters

• Part II: Player Analytics
• Chapter 6: Quarterback Evaluation
• Chapter 7: Rushing Analytics
• Chapter 8: Receiving Analytics
• Chapter 9: Offensive Line Analytics
• Chapter 10: Defensive Analytics
• Chapter 11: Special Teams Analytics

4

Part III: Team-Level Analytics

6 chapters

• Chapter 12: Team Efficiency Metrics
• Chapter 13: Pace and Play Calling
• Chapter 14: Situational Football
• Chapter 15: Home Field Advantage
• Chapter 16: Strength of Schedule
• Chapter 17: Team Building and Roster Construction

5

Part IV: Predictive Modeling

5 chapters

• Chapter 18: Introduction to Prediction Models
• Chapter 19: Elo and Power Ratings
• Chapter 20: Machine Learning for NFL Prediction
• Chapter 21: Game Simulation
• Chapter 22: Betting Market Analysis

6

Part V: Advanced Topics

4 chapters

• Chapter 23: Injuries and Their Impact
• Chapter 24: Weather Effects
• Chapter 25: Home Field Advantage Deep Dive
• Chapter 26: Schedule and Rest Analysis

7

Part VI: Applications and Integration

2 chapters

• Chapter 27: Fantasy Football Analytics
• Chapter 28: Draft Analysis

8

Part VII: Capstone Projects

1 chapter

• Part 7: Capstone Projects

9

Appendices

5 chapters

• Appendix A: Statistical Foundations
• Appendix B: Python Setup and Libraries
• Appendix C: NFL Data Sources
• Appendix D: Glossary of NFL Analytics Terms
• Appendix E: NFL Analytics Formula Reference

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