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Sabermetrics is the analysis of baseball thorough baseball statistics.

The term is derived from the acronym SABR, which stands for the "Society for American Baseball Research[?]".

From David Grabiner's Sabermetric Manifesto:

Bill James defined sabermetrics as "the search for objective knowledge about baseball." Thus, sabermetrics attempts to answer objective questions about baseball, such as "which player on the Red Sox contributed the most to the team's offense?" or "How many home runs will Ken Griffey Jr hit next year?" It cannot deal with the subjective judgments which are also important to the game, such as "Who is your favorite player?" or "That was a great game."

Sabermetricians call into question traditional measures of baseball skill. For instance, batting average is considered to be a statistic of limited usefulness because it turns out to be a poor predictor of a team's ability to score runs. Typical sabermetric reasoning would say that runs win ballgames, and so a good measure of a player's worth is his/her ability to help his/her team score more runs than the opposing team.

Accordingly, sabermetric measures, such as Bill James's Runs Created or Pete Palmer's Total Player Rating are usually phrased in terms of either runs or team wins; a player might be described as being worth 54 runs more than an average player at the same position over the course of a full season, for example.

While this area of study is still in development, it has yielded many interesting insights into the game of baseball, and in the area of performance measurement generally.

See also:

"The Sabermetric Manifesto", by David Grabiner, at http://www.baseball1.com/bb-data/grabiner/manifesto
Total Baseball, any edition, by John Thorn and Pete Palmer
Bill James's Historical Baseball Abstract (1985, 1987, and new 2001 edition)
the SABR web site: http://www.sabr.org
The Hidden Game of Baseball, by Pete Palmer and John Thorn

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