LEADER 06518nam 22006975 450 001 9910461264703321 005 20210528170552.0 010 $a1-283-41178-4 010 $a9786613411785 010 $a1-4008-4207-7 024 7 $a10.1515/9781400842070 035 $a(CKB)2670000000139999 035 $a(EBL)832770 035 $a(OCoLC)771876061 035 $a(SSID)ssj0000638368 035 $a(PQKBManifestationID)11374918 035 $a(PQKBTitleCode)TC0000638368 035 $a(PQKBWorkID)10709577 035 $a(PQKB)11486695 035 $a(DE-B1597)447354 035 $a(OCoLC)979577856 035 $a(DE-B1597)9781400842070 035 $a(MiAaPQ)EBC832770 035 $a(PPN)187959196 035 $z(PPN)19924510X 035 $a(EXLCZ)992670000000139999 100 $a20190708d2012 fg 101 0 $aeng 135 $aurun#---uuuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathletics $ehow gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football /$fWayne L. Winston 205 $aWith a New epilogue by the author 210 1$aPrinceton, NJ :$cPrinceton University Press,$d[2012] 210 4$dİ2012 215 $a1 online resource (391 pages) 300 $aDescription based upon print version of record. 311 $a0-691-15458-9 320 $aIncludes bibliographical references (pages 357-366) and index. 327 $aPreface -- Acknowledgments -- List of abbreviations -- Part 1: Baseball -- 1: Baseball's Pythagorean Theorem -- 2: Who had a better year, Nomar Garciaparra or Ichiro Suzuki? -- Runs-created approach -- 3: Evaluating hitters by linear weights -- 4: Evaluating hitters by Monte Carlo simulation -- 5: Evaluating baseball pitchers and forecasting future pitcher performance -- 6: Baseball decision-making -- 7: Evaluating fielders -- Sabermetrics' Last Frontier -- 8: Player win averages -- 9: Value of replacement players -- Evaluating trades and fair salary -- 10: Park factors -- 11: Streakiness in sports -- 12: Platoon effect -- 13: Was Tony Perez a great clutch hitter? -- 14: Pitch count and pitcher effectiveness -- 15: Would Ted Williams hit 406 today? -- 16: Was Joe DiMaggio's 56-game hitting streak the greatest sports record of all time? -- 17: Major league equivalents -- Part 2: Football -- 18: What makes NFL teams win? -- 19: Who's better, Tom Brady or Peyton Manning? -- 20: Football states and values -- 21: Football decision-making 101 -- 22: State and value analysis of the 2006 Super Bowl Champion Colts -- 23: If passing is better than running, why don't teams always pass? -- 24: Should we go for a one- point or two-point conversion? -- 25: To give up the ball is better than to receive -- Case of college football overtime -- 26: Why is the NFL's overtime system fatally flawed? -- 27: How valuable are high draft picks in the NFL? -- Part 3: Basketball -- 28: Basketball statistics 101 -- Four-factor model -- 29: Linear weights for evaluating NBA players -- 30: Adjusted +/- player ratings -- 31: NBA lineup analysis -- 32: Analyzing team and individual matchups -- 33: NBA players' salaries and the draft -- 34: Are NBA officials prejudiced? -- 35: Are college basketball games fixed? -- 36: Did Tim Donaghy fix NBA games? -- 37: End-game basketball strategy -- Part 4: Playing With Money, And Other Topics For Serious Sports Fans -- 38: Sports gambling 101 -- 39: Freakonomics meets the bookmaker -- 40: Rating sports teams -- 41: Which league has greater parity, the NFL or the NBA? -- 42: Ratings Percentage Index (RPI) -- 43: From point ratings to probabilities -- 44: Optimal money management -- Kelly growth criteria -- 45: Ranking great sports collapses -- 46: Can money buy success? -- 47: Does Joey Crawford hate the Spurs? -- 48: Does fatigue make cowards of us all? -- Case of NBA back-to-back games and NFL bye weeks -- 49: Can the bowl championship series be saved? -- 50: Comparing players from different eras -- 51: Conclusions -- Index of databases -- Annotated bibliography -- Index. 330 $aMathletics is a remarkably entertaining book that shows readers how to use simple mathematics to analyze a range of statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling. How does professional baseball evaluate hitters? Is a singles hitter like Wade Boggs more valuable than a power hitter like David Ortiz? Should NFL teams pass or run more often on first downs? Could professional basketball have used statistics to expose the crooked referee Tim Donaghy? Does money buy performance in professional sports? In Mathletics, Wayne Winston describes the mathematical methods that top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical tools they need to enhance their understanding and enjoyment of their favorite sports--and maybe even gain the outside edge to winning bets. Mathletics blends fun math problems with sports stories of actual games, teams, and players, along with personal anecdotes from Winston's work as a sports consultant. Winston uses easy-to-read tables and illustrations to illuminate the techniques and ideas he presents, and all the necessary math concepts--such as arithmetic, basic statistics and probability, and Monte Carlo simulations--are fully explained in the examples. 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 much, much more. In a new epilogue, Winston discusses the stats and numerical analysis behind some recent sporting events, such as how the Dallas Mavericks used analytics to become the 2011 NBA champions. 606 $aSports$xMathematics 606 $aSports - Mathematics 606 $aSports -- Mathematics 606 $aSocial Sciences$2HILCC 606 $aRecreation & Sports$2HILCC 608 $aElectronic books. 615 0$aSports$xMathematics. 615 4$aSports - Mathematics. 615 4$aSports -- Mathematics. 615 7$aSocial Sciences 615 7$aRecreation & Sports 676 $a796.0151 700 $aWinston$b Wayne L.$0145432 801 0$bDE-B1597 801 1$bDE-B1597 906 $aBOOK 912 $a9910461264703321 996 $aMathletics$92477430 997 $aUNINA