Optimal Sports Math, Statistics, and Fantasy

Erscheinungsjahr 2017
ISBN: 978-0-12-805163-4
Verlag: William Andrew Publishing

Buch, Englisch, 352 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 700 g

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.

Autoren/Hrsg.

Poserina, James

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Sozialwissenschaften Sport | Tourismus | Freizeit Sport Sport, Sportwissenschaft: Allgemeines

Inhaltsverzeichnis

1. How They Play the Game2. Regression Models3. Probability Models4. Advanced Math and Statistics5. Sports Prediction Models6. Football - NFL7. Basketball - NBA8. Hockey - NHL9. Soccer - MLS10. Baseball - MLB11. Statistics in Baseball12. Fantasy Sports Models13. Advanced Modeling Techniques

Über Autor(innen)

Poserina, James
Jim Poserina is a web application developer for the School of Arts and Sciences at Rutgers, the State University of New Jersey. He has been a web and database developer for over 15 years, having previously worked and consulted for companies including AT&T, Samsung Electronics, Barnes & Noble, IRA Financial Group, and First Investors. He is also a partner in Doctrino Systems, where in addition to his web and database development he is a systems administrator.



Mr. Poserina has been a member of the Society for American Baseball Research since 2000 and has been published in the Baseball Research Journal. He covered Major League Baseball, NFL and NCAA football, and NCAA basketball for the STATS LLC reporter network. In addition to the more traditional baseball play-by-play information, the live baseball reports included more granular data such as broken bats, catcher blocks, first baseman scoops, and over a dozen distinct codes for balls and strikes.



Mr. Poserina took second place at the 2016 HIQORA High IQ World Championships in San Diego, California, finishing ahead of over 2,000 participants from more than 60 countries. He is a member of American Mensa, where he has served as a judge at the annual Mind Games competition that awards the coveted Mensa Select seal to the best new tabletop games.



Mr. Poserina has a B.A. in history and political science from Rutgers University. While studying there he called Scarlet Knight football, basketball, and baseball games for campus radio station WRLC.