Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics
Costa, Gabriel B.; Huber, Michael R.; Saccoman, John T.
Language: English
Published by McFarland & Company, 2007
- Softcover
- Used

Seller: ThriftBooks-Reno, Reno, NV, U.S.A.ThriftBooks-Reno
AbeBooks seller since May 25, 2012
Condition: Used - Fair
US$ 6.49
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Add to basketItem description from seller
Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Seller Inventory # G0786433884I5N00
- Title
- Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics
- Author
- Costa, Gabriel B.; Huber, Michael R.; Saccoman, John T.
- Publisher
- McFarland & Company
- Publication year
- 2007
- Condition
- Fair
- Dust jacket
- No Jacket
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0786433884
- ISBN 13
- 9780786433889
- Item weight
- 0.64 pounds
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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