Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics

Costa, Gabriel B.; Huber, Michael R.; Saccoman, John T.

ISBN 10: 0786433884 / ISBN 13: 9780786433889

Published by McFarland, 2007

About this Item

The item is very worn but is perfectly usable. Signs of wear can include aesthetic issues such as scratches, dents, worn and creased covers, folded page corners and minor liquid stains. All pages and the cover are intact, but the dust cover may be missing. Pages may include moderate to heavy amount of notes and highlighting, but the text is not obscured or unreadable. Page edges may have foxing age related spots and browning . May NOT include discs, access code or other supplemental materials. Seller Inventory # BVV.0786433884.A

Bibliographic Details

Title: Understanding Sabermetrics: An Introduction ...

Publisher: McFarland

Publication Date: 2007

Binding: Soft cover

Condition: acceptable

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.

About the Author:

Gabriel B. Costa is on extended leave from Seton Hall University and is a math professor and associate chaplain at the United States Military Academy in West Point, New York. Michael R. Huber is an associate professor of math at Muhlenberg College in Allentown, Pennsylvania. John T. Saccoman is an associate professor of mathematics and computer science at Seton Hall University in New Jersey.