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In the sport of baseball, each of the nine players on a team is assigned a particular fielding position when it is their turn to play defense. Each position conventionally has an associated number, for use in scorekeeping by the official scorer: 1 (), 2 (), 3 (first baseman), 4 (second baseman), 5 (third baseman), 6 (), 7 (left fielder), 8 (center fielder), and 9 (right fielder). [1]
Curve Ball: Baseball, Statistics, and the Role of Chance in the Game. New York: Copernicus Books, 2001. ISBN 0-387-98816-5. A book on new statistics for baseball. Alan Schwarz, The Numbers Game: Baseball’s Lifelong Fascination with Statistics (New York: St. Martin's, 2005). ISBN 0-312-32223-2.
Curve Ball: Baseball, Statistics, and the Role of Chance in the Game. New York: Copernicus Books, 2001. ISBN 0-387-98816-5. A book on new statistics for baseball. MLB Record Book by: MLB.com; Alan Schwarz, The Numbers Game: Baseball's Lifelong Fascination with Statistics (New York: St. Martin's, 2005). ISBN 0-312-32223-2.
Gibson holds the record for highest major-league career batting average at .372, [11] six points higher than Ty Cobb who has the second-highest career average at .366. [12] The record for lowest career batting average for a player with more than 2,500 at-bats belongs to Bill Bergen , a catcher who played from 1901 to 1911 and recorded a .170 ...
Like many original sabermetric concepts, the idea of a defensive spectrum was first introduced by Bill James in his Baseball Abstract series of books during the 1980s. [2] The basic premise of the spectrum is that positions on the right side of the spectrum are more difficult than the positions on the left side.
In baseball statistics, defensive runs saved (DRS) measures the number of runs a player saved or cost his team on defense relative to an average player. [1] [2] Any positive number is above average, and the best fielders typically have a DRS figure of 15 to 20 for a season. [3]
The win probability for a specific situation in baseball (including the inning, number of outs, men on base, and score) is obtained by first finding all the teams that have encountered this situation. Then the winning percentage of these teams in these situations is found. This probability figure is then adjusted for home-field advantage. Thus ...
Rdp is computed by first finding the difference in the player's expected number of double plays (based on league average) and their actual number. This is multiplied by the expected difference in runs scored between grounding into a double play and not, which averages to 0.44 across seasons, but varies with the run environment. [13]