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Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions.


 

Readers will learn how to:

  • Accurately rank sports teams
  • Compute winning probability
  • Calculate expected victory margin
  • Determine the set of factors that are most predictive of team and player performance

Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models.


 

Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world.

  • Statistical approaches to predict winning team, probabilities, and victory margin
  • Procedures to evaluate the accuracy of different models
  • Detailed analysis of how mathematics and statistics are used in a variety of different sports
  • Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Biographical Information - p. ix 6. Chapter 1. How They Play the Game - p. 1 7. Chapter 2. Regression Models - p. 39 8. Chapter 3. Probability Models - p. 69 9. Chapter 4. Advanced Math and Statistics - p. 103 10. Chapter 5. Sports Prediction Models - p. 137 11. Chapter 6. Football—NFL - p. 155 12. Chapter 7. Basketball—NBA - p. 181 13. Chapter 8. Hockey—NHL - p. 205 14. Chapter 9. Soccer—MLS - p. 229 15. Chapter 10. Baseball—MLB - p. 253 16. Chapter 11. Statistics in Baseball - p. 277 17. Chapter 12. Fantasy Sports Models - p. 297 18. Chapter 13. Advanced Modeling Techniques - p. 317 19. Index - p. 331

Descripcion
Descripción

Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions.


 

Readers will learn how to:

  • Accurately rank sports teams
  • Compute winning probability
  • Calculate expected victory margin
  • Determine the set of factors that are most predictive of team and player performance

Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models.


 

Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world.

  • Statistical approaches to predict winning team, probabilities, and victory margin
  • Procedures to evaluate the accuracy of different models
  • Detailed analysis of how mathematics and statistics are used in a variety of different sports
  • Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination

1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. Biographical Information - p. ix 6. Chapter 1. How They Play the Game - p. 1 7. Chapter 2. Regression Models - p. 39 8. Chapter 3. Probability Models - p. 69 9. Chapter 4. Advanced Math and Statistics - p. 103 10. Chapter 5. Sports Prediction Models - p. 137 11. Chapter 6. Football—NFL - p. 155 12. Chapter 7. Basketball—NBA - p. 181 13. Chapter 8. Hockey—NHL - p. 205 14. Chapter 9. Soccer—MLS - p. 229 15. Chapter 10. Baseball—MLB - p. 253 16. Chapter 11. Statistics in Baseball - p. 277 17. Chapter 12. Fantasy Sports Models - p. 297 18. Chapter 13. Advanced Modeling Techniques - p. 317 19. Index - p. 331

Indice
Autores
Muestra
Ficha Técnica