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Baseball statistics

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Statistics are very important to baseball, perhaps more than any other sport. The practice keeping of records of the achievements of the players was started in the 19th century by Henry Chadwick, who devised the predecessors of statistics like batting average, runs scored, and runs allowed based on his experience of cricket. Statistics have been kept for the Major Leagues since their creation.

General managers and baseball scouts study player statistics to decide what players to try to get for their team. Managers, catchers and pitchers study statistics of batters on opposing teams to figure out how best to pitch to them and position the players. Managers and batters study opposing pitchers to figure out how best to hit them. Managers often base their personnel decisions during the game on statistics, such as choosing who to put in the lineup, or which relief pitcher to bring in.

Traditionally, statistics like batting average for batters (the number of hits divided by the number of at bats) and earned run average (approximately the number of runs given up by a pitcher per nine innings) have governed the statistical world of baseball. However, the advent of sabermetrics brought an onslaught of new statistics that better gauge a player's performance and contributions to his team from year to year.

Some sabermetric statistics have entered the mainstream baseball world. Among statistics that do an excellent job of measuring a batter's performance, On-base plus slugging (OPS) is the easiest to calculate. It adds the hitter's on base percentage (number of times reached base -by any means- divided by total plate appearances) to his or her slugging percentage (total bases divided by at bats). Some argue that the OPS formula is flawed and that more weight should be shifted towards OBP (on base percentage). Regardless, OPS still stands as the most direct means of evaluating a hitter's performance using readily available statistics.

OPS is also useful when determining a pitcher's level of success. 'Opponent On-base Plus Slugging' (OOPS) is becoming a popular way to evaluating a pitcher's actual performance. When analyzing a pitcher's statistics, some useful categories to consider are: K/9 (strikeouts per nine innings), K/BB (strikeouts per walk), and HR/9. WHIP (walks+hits per inning pitched) and OOPS (opponent on-base plus slugging) are popular statistics; however, if DIPS theory is correct, a pitcher has little control over these statistics. When viewing all these categories together, you gain a much clearer picture of the pitcher's success level (as opposed to simply considering W-L and ERA). Though not widely used, statistics like FIP (Fielding Independent Pitching) can be used as a predictor of a pitcher's "true" success, with the impact of his fielders removed.

Since 2001, more emphasis has been placed on Defense-Independent Pitching Statistics. These statistics, such as Defense-Independent ERA (dERA), attempt to evaluate a pitcher solely according to those events governed solely by the pitcher's performance, regardless of the strength of the defensive players behind him.

Also important are all of those statistics in certain in-game situations. For example, a certain hitter's ability to hit left-handed pitchers might cause his manager to give him more chances to face lefties. Other hitters may have a history of success against a given pitcher (or vice versa), and the manager may use this information to engineer a favourable matchup.

Comprehensive, historical baseball statistics were difficult for the average fan to access until 1951, when researcher Hy Turkin published "The Complete Encyclopedia of Baseball". In 1969, MacMillan Publishing printed its first Baseball Encyclopedia, using a computer to compile stats for the first time. "Big Mac" became the standard baseball reference until 1988, when Total Baseball was released by Warner Books, using even more sophisticated technology. (This led to discovery, and expulsion, of several players who didn't belong in the record books -- "phantom ballplayers", like Lou Proctor.)

Commonly used statistics

Most of these terms also apply to softball. Commonly used statistics with their abbreviations are explained here. The explanations below are for quick reference and do not fully or completely define the statistic; for the strict definition, see the corresponding article for each statistic.

Batting statistics

Baserunning statistics

Pitching statistics

See also

Fielding statistics

General statistics

See also

References / Resources

Other terminology

 


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