How to use math to improve performance and predict outcomes in professional sports
Mathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and enjoyment of their favorite sports—and maybe even gain the outside edge to winning bets. This second edition features new data, new players and teams, and new chapters on soccer, e-sports, golf, volleyball, gambling Calcuttas, analysis of camera data, Bayesian inference, ridge regression, and other statistical techniques. After reading Mathletics, you will understand why baseball teams should almost never bunt; why football overtime systems are unfair; why points, rebounds, and assists aren’t enough to determine who’s the NBA’s best player; and more.
Price: $26.95
Pages: 608
Publisher: Princeton University Press
Imprint: Princeton University Press
Publication Date:
22 February 2022
ISBN: 9780691177625
Format: Paperback
BISACs:
COMPUTERS / Data Science / Data Analytics, Data mining, MATHEMATICS / Probability & Statistics / General, SPORTS & RECREATION / General, Probability and statistics, Sports training and coaching
"Sports fans will learn much from probability theory and statistical models as they abandon empty clichés (time to throw momentum out of the informed fan's lexicon) and confront institutionalized injustices (such as those built into the protocols for selecting a national champion in college football and for seeding the NCAA's basketball tournament). A rare fusion of sports enthusiasm and numerical acumen."
Wayne L. Winston is the John and Esther Reese Professor of Decision Sciences at Indiana University’s Kelley School of Business. Scott Nestler is associate teaching professor at the University of Notre Dame’s Mendoza College of Business. Konstantinos Pelechrinis is associate professor at the University of Pittsburgh’s School of Computing and Information.
