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Understanding Sabermetrics: An Introduction to the Science of Baseball Statistics [Kindle Edition]

Gabriel B. Costa , Michael R. Huber I>and/I> John T. Saccoman
4.7 out of 5 stars  See all reviews (10 customer reviews)

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Print List Price: $29.95
Kindle Price: $15.99
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Book Description

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.

Editorial Reviews

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.

Product Details

  • File Size: 2755 KB
  • Print Length: 190 pages
  • Publisher: McFarland (December 4, 2007)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B00440EGVG
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #313,827 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

4.7 out of 5 stars
4.7 out of 5 stars
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Most Helpful Customer Reviews
22 of 31 people found the following review helpful
5.0 out of 5 stars Great book for an introduction - one flaw March 30, 2010
Format:Paperback|Verified Purchase
Understanding Sabermetrics is a wonderfully written book with many examples of some dominant sabermetric formulas. I highly recommend it to anyone interested in sabermetrics.

This book has one technical flaw in it I'd like to point out:
In chapter six, on runs created, they define the B factor of the RCTECH formula as B = TB + [0.26(TBB-IBB+HBP)] + [0.52(SH+SF+SB)], but they do not explain what TBB stands for. Then, in the following example, they insert the value for total bases (TB) in for TBB. After reading Bill James' 1985 version of his Historical Baseball Abstract, TBB stands for Total Bases on Balls, more commonly known as BB or W; it is just an odd abbreviation. Thus, the value they obtain is off (albeit by 4) and they fail to define an obscure abbreviation.

Besides this annoying mistake (I've been using this book to help write an introductory paper), it is extremely useful and a great read.
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1 of 1 people found the following review helpful
5.0 out of 5 stars Great Moneyball book. July 6, 2014
Format:Paperback|Verified Purchase
This is something of a special interest and I could not find books about saber metrics at a Barnes and Noble Superstore. There are a few of these books and this subject isn't for everyone. It is for: People interested in baseball and records and box scores to an unusual degree, math nerds, statistics nerds, people who play FANTASY baseball--anyone overly interested in these subjects or some combination. This series is a good one, it walks you through it. There may be other books on the subject but not many for lay people. You probably have one person in your life who will go nuts for this, while the rest will scratch their heads and wonder what you were thinking. You know who that person is.
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By IvanW
Format:Paperback|Verified Purchase
This is a small but fairly expensive book. It covers the basics of sabermetrics. The explanations are concise and many worked out examples. I have read a fair amount of original work by Bill James and Pete Palmer among others. So most the material was not new to me. I did learn a few things such as Win Shares and Park Effects. I really like the description of a simple simulation of Joe DiMaggio's consecutive game hitting streak. I noticed a few typographical errors in the calculations that distract from the presentation. I am looking forward to reading the two other books in the series.
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5.0 out of 5 stars So far so good. I bought this book because July 18, 2014
Format:Paperback|Verified Purchase
So far so good. I bought this book because: I liked the concept of "Money Ball"; I love baseball; I love baseball statistics; I have been a baseball fan for 57 years and I will be 70 this year and am hoping this mental exercise will help keep my brain going !
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4.0 out of 5 stars Pretty good book September 4, 2014
Format:Paperback|Verified Purchase
Pretty good book. Informative on a good, moderate level for this subject. This book is not, however, appropriate for numbers averse readers.
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