Baseball statistics explained

Baseball statistics include a variety of metrics used to evaluate player and team performance in the sport of baseball.

Since the flow of a baseball game has natural breaks to it, and player activity is characteristically distinguishable individually, the sport lends itself to easy record-keeping and thus both compiling and compiling statistics. Baseball "stats" have been recorded since the game's earliest beginnings as a distinct sport in the middle of the nineteenth century, and as such are extensively available through the historical records of leagues such as the National Association of Professional Base Ball Players and the Negro leagues, although the consistency, standards, and calculations are often incomplete or questionable.

Since the National League was founded in 1876, statistics in the most elite levels of professional baseball have been kept at some level, with efforts to standardize the stats and their compilation improving during the early 20th century; such efforts have continually evolved in tandem with advancement in available technology ever since. The NL was joined by the American League (AL) in 1903; together the two constitute contemporary Major League Baseball).

New advances in both statistical analysis and technology made possible by the "PC revolution" of the 1980s and 1990s have driven teams and fans to evaluate players by an ever-increasing set of new statistics, which hold them to ever-involving standards. With the advent of many of these methods, players can conditionally be compared across different time eras and run scoring environments.

Development

The practice of keeping records of player achievements was started in the 19th century by English-American sportswriter Henry Chadwick.[1] Based on his experience with the sport of cricket, Chadwick devised the predecessors to modern-day statistics including batting average, runs scored, and runs allowed.

Traditionally, statistics such as batting average (the number of hits divided by the number of at bats) and earned run average (the average number of runs allowed by a pitcher per nine innings, less errors and other events out of the pitcher's control) have dominated attention in the statistical world of baseball. However, the recent advent of sabermetrics has created statistics drawing from a greater breadth of player performance measures and playing field variables. Sabermetrics and comparative statistics attempt to provide an improved measure of a player's performance and contributions to his team from year to year, frequently against a statistical performance average.[2]

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 statistics for the first time. Known as "Big Mac", the encyclopedia became the standard baseball reference until 1988, when Total Baseball was released by Warner Books using more sophisticated technology. The publication of Total Baseball led to the discovery of several "phantom ballplayers", such as Lou Proctor, who did not belong in official record books and were removed.[3]

Use

Throughout modern baseball, a few core statistics have been traditionally referenced – batting average, RBI, and home runs. To this day, a player who leads the league in all of these three statistics earns the "Triple Crown". For pitchers, wins, ERA, and strikeouts are the most often-cited statistics, and a pitcher leading his league in these statistics may also be referred to as a "triple crown" winner. General managers and baseball scouts have long used the major statistics, among other factors and opinions, to understand player value. Managers, catchers and pitchers use the statistics of batters of opposing teams to develop pitching strategies and set defensive positioning on the field. Managers and batters study opposing pitcher performance and motions in attempting to improve hitting. Scouts use stats when they are looking at a player who they may end up drafting or signing to a contract.

Some sabermetric statistics have entered the mainstream baseball world that measure a batter's overall performance including on-base plus slugging, commonly referred to as OPS. OPS adds the hitter's on-base percentage (number of times reached base by any means divided by total plate appearances) to their 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).[3] The statistic wOBA (weighted on-base average) attempts to correct for this.

OPS is also useful when determining a pitcher's level of success. "Opponent on-base plus slugging" (OOPS) is becoming a popular tool to evaluate a pitcher's actual performance. When analyzing a pitcher's statistics, some useful categories include K/9IP (strikeouts per nine innings), K/BB (strikeouts per walk), HR/9 (home runs per nine innings), WHIP (walks plus hits per inning pitched), and OOPS (opponent on-base plus slugging).

However, since 2001, more emphasis has been placed on defense-independent pitching statistics, including defense-independent ERA (dERA), in an attempt to evaluate a pitcher's performance regardless of the strength of the defensive players behind them.

All of the above statistics may be used in certain game situations. For example, a certain hitter's ability to hit left-handed pitchers might incline a manager to increase their opportunities to face left-handed pitchers. Other hitters may have a history of success against a given pitcher (or vice versa), and the manager may use this information to create a favorablematch-up. This is often referred to as "playing the percentages".

Contemporary statistics

The following listings include abbreviations and/or acronyms for both historic baseball statistics and those based on modern mathematical formulas known popularly as "metrics".

The explanations below are for quick reference and do not fully or completely define the statistic; for the strict definition, see the linked article for each statistic.

Batting statistics

Baserunning statistics

Pitching statistics

Fielding statistics

Overall player value

General statistics

MLB statistical standards

It is difficult to determine quantitatively what is considered to be a "good" value in a certain statistical category, and qualitative assessments may lead to arguments. Using full-season statistics available at the Official Site of Major League Baseball[6] for the 2004 through 2015 seasons, the following tables show top ranges in various statistics, in alphabetical order. For each statistic, two values are given:

Batting Statistics
Statistic Top5 Best
BA.322 .372
HR41 58
RBI116 156
SLG.568 .812
SB42 78
OPS.974 1.422
Pitching Statistics
Statistic Top5 Best
CG4 11
ERA2.38 1.66
G89 94
GS34 35
IP227.2 255
K245 301
SHO2 6
SV44 62
W19 24
WHIP0.98 0.84

See also

Bibliography

External links

Notes and References

  1. Book: Palmer, Pete. Pete Palmer. . David Nemec . Matthew D. Greenberger . Dan Schlossberg . Dick Johnson . Mike Tully . Cooperstown: Hall of Fame Players. 2001. Publications International. Lincolnwood, Illinois. 0-7853-4530-2. 21. Birth of the Game.
  2. Web site: What is sabermetrics? . 2024-03-04 . MLB.com . en.
  3. Encyclopedia: Pete Palmer and Gary Gillette. The 2005 ESPN Baseball Encyclopedia. Introduction. 1st. 2005. Sterling. New York. 1-4027-2568-X. registration.
  4. Web site: LOB% : FanGraphs Sabermetrics Library. Slowinski. Steve. February 17, 2010. Fangraphs. 28 June 2012.
  5. Bennett. Jay. November 1993. Did Shoeless Joe Jackson Throw the 1919 World Series?. The American Statistician. 47. 4. 241–242. 10.2307/2685280. 2685280.
  6. http://mlb.mlb.com/stats/historical/leaders.jsp?c_id=mlb&baseballScope=mlb&statType=1&sortByStat=All&timeFrame=1&timeSubFrame=2004 Major League Baseball Historical Statistics