Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports

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. 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. "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." "Who is Wayne Winston? Maybe we should begin by telling you who he is not. He is not some barstool fan or uninformed sportswriter who fuels his opinions with information gleaned from SportsCenter highlights or newspaper box scores. He is a professor of decision sciences at Indiana University's Kelley School of Business, and until this year was the statistical guru for the Dallas Mavericks. He is author of the book Mathletics, which explains what statistics really tell us about sports."---Ken Berger, CBSSports.com "[A] terrific read for anyone trying to model markets statistically and make trading decisions based on statistical data. . . . Reading Winston's book is a mind-opening experience."---Brenda Jubin, Reading the Markets blog "[Huge] and highly interesting."---Mathematics Magazine, Paul J. Campbell "If you are looking for the best way to understand sports analytics, Mathletics is the book for you. You don't have to be a math guru to benefit from Mathletics, you just have to love sports. This should be required reading for everyone looking to work in the front office in any sport."-Mark Cuban, owner of the Dallas Mavericks "The first edition of Mathletics was a must-have when it first came out. Given the advancements in sports analytics over the past decade, this second edition is an excellent update and gives a comprehensive view of this space today. It is essential reading for anyone interested in sports analytics."-Patrick Lucey, chief scientist at Stats Perform "I like the updated player references and applications to daily fantasy sports. Sports analytics enthusiasts will be able to analyze everything from draft picks to rookie seasons to prime performance, with insights behind the strategy."-Michael R. Huber, coauthor of Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions "Whether you are a sports analytics professional, a sophisticated sports fan, an academic looking for new ways to generate interest in mathematical modeling, or someone who enjoys using data while thinking systematically about problems of any sort, you will love this updated edition of Mathletics. This book is a winner!"-Edward H. Kaplan, Yale School of Management "Wayne Winston's Mathletics combines rigorous analytical methodologies with a very inquisitive approach. This