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Mathletics :how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	796.0151
書名/作者:	Mathletics : : how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football // Wayne Winston ; with a new epilogue by the author.
作者:	Winston, Wayne L.
出版者:	Princeton, N.J. : : Princeton University Press,, 2012.
面頁冊數:	xvii, 372 p. : : ill. ;; 24 cm.
附註:	"Epilogue to the paperback edition"--P. [341].
標題:	Sports - Mathematics.
ISBN:	9780691154589 (pbk.) :
ISBN:	0691154589 (pbk.)
書目註:	Includes bibliographical references (p. [357]-366) and index.
內容註:	Preface -- 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 -- Epilogue to the paperback edition -- Index of databases -- Annotated bibliography -- Index.
摘要、提要註:	The author presents how to use simple mathematics to analyze statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling, how coaches and managers use mathematics to evaluate players and team performance, and in a new epilogue, how statistics and numerical analysis played roles in recent sporting events such as the Dallas Mavericks' 2011 NBA championship.

Mathletics :how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football /
Winston, Wayne L.

Mathletics :how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football /Wayne Winston ; with a new epilogue by the author. - [Pbk. ed.] - Princeton, N.J. :Princeton University Press,2012. - xvii, 372 p. :ill. ;24 cm.

"Epilogue to the paperback edition"--P. [341].

Includes bibliographical references (p. [357]-366) and index.

Preface -- 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 -- Epilogue to the paperback edition -- Index of databases -- Annotated bibliography -- Index.

The author presents how to use simple mathematics to analyze statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling, how coaches and managers use mathematics to evaluate players and team performance, and in a new epilogue, how statistics and numerical analysis played roles in recent sporting events such as the Dallas Mavericks' 2011 NBA championship.

ISBN: 9780691154589 (pbk.) :NTD 608Subjects--Topical Terms:

564173
Sports
--Mathematics.

LC Class. No.: GV706.8 / .W56 2012

Dewey Class. No.: 796.0151

Mathletics :how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football /
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245 1 0 $a Mathletics : $b how gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football / $c Wayne Winston ; with a new epilogue by the author.
250 $a [Pbk. ed.]
260 $a Princeton, N.J. : $b Princeton University Press, $c 2012.
300 $a xvii, 372 p. : $b ill. ; $c 24 cm.
500 $a "Epilogue to the paperback edition"--P. [341].
500 $a "First paperback printing, with a new epilogue, 2012"--T.p. verso.
504 $a Includes bibliographical references (p. [357]-366) and index.
505 0 $a Preface -- 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 -- Epilogue to the paperback edition -- Index of databases -- Annotated bibliography -- Index.
520 $a The author presents how to use simple mathematics to analyze statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling, how coaches and managers use mathematics to evaluate players and team performance, and in a new epilogue, how statistics and numerical analysis played roles in recent sporting events such as the Dallas Mavericks' 2011 NBA championship.
650 0 $a Sports $x Mathematics. $3 564173