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

1128170835
Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics, 2d ed.
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.

29.95 In Stock
Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics, 2d ed.

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

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

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

Overview

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.

Product Details

ISBN-13: 9781476667669
Publisher: McFarland & Company, Incorporated Publishers
Publication date: 06/19/2019
Edition description: New Edition
Pages: 220
Product dimensions: 5.90(w) x 8.70(h) x 0.60(d)
Age Range: 18 Years

About the Author

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.

Table of Contents

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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