Baseball fans are often passionate about statistics, but true numbers fanatics want to go beyond the 'baseball card' stats and make comparisons through other objective means. ""Sabermetrics"" uses algebra to expand on statistics and measure a player's value to his team and how he ranks among players of different eras. The mathematical models in this book, a follow-up to ""Understanding Sabermetrics"" (2008), define the measures, supply examples, and provide practice problems for readers.

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.

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.