Interest in Sabermetrics has increased dramatically in recent years as the need to better compare baseball players has intensified among managers, agents and fans, and even other players. The authors explain how traditional measures--such as Earned Run Average, Slugging Percentage, and Fielding Percentage--along with new statistics--Wins Above Average, Fielding Independent Pitching, Wins Above Replacement, the Equivalence Coefficient and others--define the value of players. Actual player statistics are used in developing models, while examples and exercises are provided in each chapter. This…mehr
Interest in Sabermetrics has increased dramatically in recent years as the need to better compare baseball players has intensified among managers, agents and fans, and even other players. The authors explain how traditional measures--such as Earned Run Average, Slugging Percentage, and Fielding Percentage--along with new statistics--Wins Above Average, Fielding Independent Pitching, Wins Above Replacement, the Equivalence Coefficient and others--define the value of players. Actual player statistics are used in developing models, while examples and exercises are provided in each chapter. This book serves as a guide for both beginners and those who wish to be successful in fantasy leagues.
Gabriel B. Costa is a Catholic priest and a professor of mathematics at the United States Military Academy at West Point. He is on extended academic leave from Seton Hall University. Michael R. Huber is a professor of mathematics at Muhlenberg College in Allentown, Pennsylvania. He has been studying sabermetrics for more than 20 years and is a member of the Society for American Baseball Research. John T. Saccoman is a professor in the department of mathematics and computer science at Seton Hall University in South Orange, New Jersey.
Inhaltsangabe
Table of Contents Acknowledgments Pre-Game: Abbreviations and Formulas Batting Practice: Introduction and Statistics Top of the First: Sabermetrical Reasoning Bottom of the First: Simple Additive Formulas Top of the Second: Peak versus Career Performances Bottom of the Second: The Best Teams and Players Top of the Third: The Equivalence Coefficient-Batting Bottom of the Third: The Equivalence Coefficient- Pitching and Defense Top of the Fourth: Park Effects Bottom of the Fourth: OPS+ (On Base Plus Slugging Plus) Top of the Fifth: Batting Average on Balls In Play (BABIP) Bottom of the Fifth: Fielding Independent Pitching (FIP) Top of the Sixth: The Linear Weights School-Offense Bottom of the Sixth: The Linear Weights School-Pitching Top of the Seventh: The Linear Weights School-Defense Seventh Inning Stretch: A Sabermetrics Conversation with Rico Brogna Bottom of the Seventh: The Runs Created School-Basic Top of the Eighth: The Runs Created School-Tech Bottom of the Eighth: WAR (Wins Above Replacement) Top of the Ninth: Joe DiMaggio's Hitting Streak- A Probability Study Bottom of the Ninth: Joe DiMaggio's Hitting Streak- A Simulation Extra Innings: Regression Analysis Post-Game: Musings and Opinions Clubhouse: Solutions to Problems Appendix I. Linear Weights League Batting Factor (ABF), by Season Appendix II. Getting and Using Data References: An Informal Bibliography and WebsitesIndex
Table of Contents Acknowledgments Pre-Game: Abbreviations and Formulas Batting Practice: Introduction and Statistics Top of the First: Sabermetrical Reasoning Bottom of the First: Simple Additive Formulas Top of the Second: Peak versus Career Performances Bottom of the Second: The Best Teams and Players Top of the Third: The Equivalence Coefficient-Batting Bottom of the Third: The Equivalence Coefficient- Pitching and Defense Top of the Fourth: Park Effects Bottom of the Fourth: OPS+ (On Base Plus Slugging Plus) Top of the Fifth: Batting Average on Balls In Play (BABIP) Bottom of the Fifth: Fielding Independent Pitching (FIP) Top of the Sixth: The Linear Weights School-Offense Bottom of the Sixth: The Linear Weights School-Pitching Top of the Seventh: The Linear Weights School-Defense Seventh Inning Stretch: A Sabermetrics Conversation with Rico Brogna Bottom of the Seventh: The Runs Created School-Basic Top of the Eighth: The Runs Created School-Tech Bottom of the Eighth: WAR (Wins Above Replacement) Top of the Ninth: Joe DiMaggio's Hitting Streak- A Probability Study Bottom of the Ninth: Joe DiMaggio's Hitting Streak- A Simulation Extra Innings: Regression Analysis Post-Game: Musings and Opinions Clubhouse: Solutions to Problems Appendix I. Linear Weights League Batting Factor (ABF), by Season Appendix II. Getting and Using Data References: An Informal Bibliography and WebsitesIndex
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