Born in the 1970s as a radical challenge to traditional baseball statistics, sabermetrics has developed into a new way of understanding many aspects of the game. Its practitioners have created new statistical tools and revised our old ways of thinking about established measures such as the batting average, tactics such as the sacrifice bunt, and even who among the greats was truly great. This introduction to the basics of sabermetric analysis explains concepts including normalization, peak versus career performance, linear weights and runs created, as well as popular calculations like OPS (On-Base plus Slugging), WHIP (Walks and Hits per Inning Pitched), PF (Park Factor) and others increasingly used by baseball fans.

Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics

Sports & Outdoors

Costa, Gabriel B.

Huber, Michael R.

Saccoman, John T.

Baseball

McFarland

The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance--and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove-winning shortstop.

Practicing Sabermetrics: Putting the Science of Baseball Statistics to Work

McFarland Company

Sabermetrics, the specialized analysis of baseball through empirical evidence, provides an impartial perspective from which to explore the game. In this work, the third in a series, three mathematicians employ statistical science in an attempt to answer some of baseball's toughest questions. For instance, how good were the 1961 New York Yankees? How bad were the 1962 Mets? Which team was the best of the Deadball Era? They also strive to determine baseball's greatest player at various positions. Throughout, the objective evidence allows for debate devoid of emotion and personal biases, providing a fresh, balanced evaluation of these and many other challenging questions.

Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

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.

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

See the best price to sell, buy, or rent books by Huber, Michael R.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Huber, Michael R.

See the best price to sell, buy, or rent books by Huber, Michael R.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics

Practicing Sabermetrics: Putting the Science of Baseball Statistics to Work

Reasoning with Sabermetrics: Applying Statistical Science to Baseball's Tough Questions

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