Understanding Sabermetrics

An Introduction to the Science of Baseball Statistics, 2d ed.

Häftad, Engelska, 2019

355 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-06-19
Mått:152 x 229 x 11 mm
Vikt:299 g
Format:Häftad
Språk:Engelska
Antal sidor:220
Upplaga:19002
Förlag:McFarland & Co Inc
ISBN:9781476667669

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Mer om författaren

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.

Recensioner i media

Reviews of the first edition: “intriguing title”—Choice

Innehållsförteckning

Table of ContentsAcknowledgmentsPre-Game: Abbreviations and FormulasBatting Practice: Introduction and StatisticsTop of the First: Sabermetrical ReasoningBottom of the First: Simple Additive FormulasTop of the Second: Peak versus Career PerformancesBottom of the Second: The Best Teams and PlayersTop of the Third: The Equivalence Coefficient—BattingBottom of the Third: The Equivalence Coefficient—Pitching and DefenseTop of the Fourth: Park EffectsBottom 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—OffenseBottom of the Sixth: The Linear Weights School—PitchingTop of the Seventh: The Linear Weights School—DefenseSeventh Inning Stretch: A Sabermetrics Conversation with Rico BrognaBottom of the Seventh: The Runs Created School—BasicTop of the Eighth: The Runs Created School—TechBottom of the Eighth: WAR (Wins Above Replacement)Top of the Ninth: Joe DiMaggio’s Hitting Streak—A Probability StudyBottom of the Ninth: Joe DiMaggio’s Hitting Streak—A SimulationExtra Innings: Regression AnalysisPost-Game: Musings and OpinionsClubhouse: Solutions to ProblemsAppendix I. Linear Weights League Batting Factor (ABF), by SeasonAppendix II. Getting and Using DataReferences: An Informal Bibliography and WebsitesIndex