Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics in Baseball, Basketball, and Football »

Wayne L. Winston is the John and Esther Reese Professor of Decision Sciences at Indiana University's Kelley School of Business. His many books include "Operations Research: Applications and Algorithms". He has been a consultant to major corporate and sports organizations, including USA Diving and the Dallas Mavericks.

"Winston has an uncanny knack for bringing the game alive through the fascinating mathematical questions he explores. He gets inside professional sports like no other writer I know. Mathletics is like a seat at courtside."--Mark Cuban, owner of the Dallas Mavericks

"Wayne Winston's Mathletics combines rigorous analytical methodologies with a very inquisitive approach. This should be a required starting point for anyone desiring to use mathematics in the world of sports."--KC Joyner, author of Blindsided: Why the Left Tackle Is Overrated and Other Contrarian Football Thoughts

"People who want the details on the analysis of baseball need to read Mathletics. This book provides the statistics behind Moneyball."--Pete Palmer, coeditor of The ESPN Baseball Encyclopedia and The ESPN Pro Football Encyclopedia

"Winston has brought together the latest thinking on sports mathematics in one comprehensive place. This volume is perfect for someone seeking a general overview or who wants to dive into advanced thinking on the latest sports-analytics topics."--Daryl Morey, general manager of the Houston Rockets

"Mathletics offers insights into the mathematical analysis of three major sports and sports gambling. The basketball and sports bookies sections are particularly interesting and loaded with in-depth examples and analysis. The author's passion seems to jump right off the page."--Michael Huber, Muhlenberg College

"I really enjoyed this unique book, as will anyone who is a serious sports fan with some interest in mathematics. Winston is very knowledgeable about baseball, basketball, and football, and about the mathematical techniques needed to analyze a multitude of questions that arise in them. He does a very good job of explaining complex mathematical ideas in a simple way."--George L. Nemhauser, Georgia Institute of Technology

Booklist

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.

Preface xi Acknowledgments xiii List of Abbreviations xv

Part I. Baseball 1

Chapter 1: Baseball's Pythagorean Theorem 3
Chapter 2: Who Had a Better Year, Nomar Garciaparra or Ichiro Suzuki? 11
The Runs- Created Approach
Chapter 3: Evaluating Hitters by Linear Weights 17
Chapter 4: Evaluating Hitters by Monte Carlo Simulation 30
Chapter 5: Evaluating Baseball Pitchers and Forecasting Future Pitcher Performance 41
Chapter 6: Baseball Decision- Making 52
Chapter 7: Evaluating Fielders 64
Sabermetrics' Last Frontier
Chapter 8: Player Win Averages 71
Chapter 9: The Value of Replacement Players 79
Evaluating Trades and Fair Salary
Chapter 10: Park Factors 84
Chapter 11: Streakiness in Sports 87
Chapter 12: The Platoon Effect 102
Chapter 13: Was Tony Perez a Great Clutch Hitter? 106
Chapter 14: Pitch Count and Pitcher Effectiveness 110
Chapter 15: Would Ted Williams Hit .406 Today? 113
Chapter 16: Was Joe DiMaggio's 56- Game Hitting Streak the Greatest Sports Record of All Time? 116
Chapter 17: Major League Equivalents 123

Part II. Football 125

Chapter 18: What Makes NFL Teams Win? 127
Chapter 19: Who's Better, Tom Brady or Peyton Manning? 132
Chapter 20: Football States and Values 138
Chapter 21: Football Decision- Making 101 143
Chapter 22: A State and Value Analysis of the 2006 Super Bowl 151
Champion Colts Chapter 23: If Passing Is Better Than Running, Why Don't 158
Teams Always Pass?
Chapter 24: Should We Go for a One- Point or Two- Point Conversion? 165
Chapter 25: To Give Up the Ball Is Better Than to Receive 172
The Case of College Football Overtime
Chapter 26: Why Is the NFL's Overtime System Fatally Flawed? 175
Chapter 27: How Valuable Are High Draft Picks in the NFL? 180

Part III. Basketball 185

Chapter 28: Basketball Statistics 101 187
The Four- Factor Model
Chapter 29: Linear Weights for Evaluating NBA Players 195
Chapter 30: Adjusted_/_Player Ratings 202
Chapter 31: NBA Lineup Analysis 224
Chapter 32: Analyzing Team and Individual Matchups 228
Chapter 33: NBA Players' Salaries and the Draft 233
Chapter 34: Are NBA Officials Prejudiced? 237
Chapter 35: Are College Basketball Games Fixed? 242
Chapter 36: Did Tim Donaghy Fix NBA Games? 244
Chapter 37: End- Game Basketball Strategy 248

Part IV. Playing with Money, and Other Topics for Serious Sports Fans 253

Chapter 38: Sports Gambling 101 255
Chapter 39: Freakonomics Meets the Bookmaker 262
Chapter 40: Rating Sports Teams 266
Chapter 41: Which League Has Greater Parity, The NFL or the NBA? 283
Chapter 42: The Ratings Percentage Index (RPI) 287
Chapter 43: From Point Ratings to Probabilities 290
Chapter 44: Optimal Money Management 298
The Kelly Growth Criteria
Chapter 45: Ranking Great Sports Collapses 303
Chapter 46: Can Money Buy Success? 311
Chapter 47: Does Joey Crawford Hate the Spurs? 319
Chapter 48: Does Fatigue Make Cowards of Us All? 321
The Case of NBA Back- to- Back Games and NFL Bye Weeks
Chapter 49: Can the Bowl Championship Series Be Saved? 324
Chapter 50: Comparing Players from Different Eras 331
Chapter 51: Conclusions 335

Index of Databases 341
Annotated Bibliography 343
Index 353