Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics

Costa, Gabriel B., Huber, Michael R.

ISBN 10: 0786433884 / ISBN 13: 9780786433889

Published by McFarland, 2007

About this Item

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Seller Inventory # M00786433884-V

Bibliographic Details

• Title: Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics
• Publisher: McFarland
• Publication Date: 2007
• Language: English
• ISBN 10: 0786433884
• ISBN 13: 9780786433889
• Binding: Soft cover
• Condition: very good

About this title

Synopsis

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.

Instructors considering this book for use in a course may request an examination copy here.

About the Authors

SABR member Gabriel B. Costa is a catholic priest and a professor of mathematical sciences at the United States Military Academy at West Point.

Michael R. Huber is a retired 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.