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In baseball statistics, slugging percentage (SLG) is a measure of the batting productivity of a hitter. It is calculated as total bases divided by at-bats , through the following formula, where AB is the number of at-bats for a given player, and 1B , 2B , 3B , and HR are the number of singles , doubles , triples , and home runs , respectively:
In the most basic runs created formula: = (+) + where H is hits, BB is base on balls, TB is total bases and AB is at-bats.. This can also be expressed as = = where OBP is on-base percentage, SLG is slugging average, AB is at-bats and TB is total bases, however OBP includes the hit-by-pitch while the previous RC formula does not.
Ted Williams is the all-time Major League Baseball leader in on-base percentage. In baseball statistics, on-base percentage (OBP) measures how frequently a batter reaches base. An official Major League Baseball (MLB) statistic since 1984, it is sometimes referred to as on-base average (OBA), [a] as it is rarely presented as a true percentage.
Initially the correlation between the formula and actual winning percentage was simply an experimental observation. In 2003, Hein Hundal provided an inexact derivation of the formula and showed that the Pythagorean exponent was approximately 2/(σ √ π) where σ was the standard deviation of runs scored by all teams divided by the average number of runs scored. [8]
Base runs (BsR) is a baseball statistic invented by sabermetrician David Smyth to estimate the number of runs a team "should have" scored given their component offensive statistics, as well as the number of runs a hitter or pitcher creates or allows.
In baseball, isolated power or ISO is a sabermetric computation used to measure a batter's raw power. One formula is slugging percentage minus batting average . I S O = S L G − A V G {\displaystyle ISO=SLG-AVG}
Runs produced is a baseball statistic that can help estimate the number of runs a hitter contributes to his team. The formula adds together the player's runs and run batted in, and then subtracts the player's home runs.
In addition to head-to-head winning probability, a general formula can be applied to calculate head-to-head probability of outcomes such as batting average in baseball. [ 3 ] Sticking with our batting average example, let p B {\displaystyle p_{B}} be the batter 's batting average (probability of getting a hit), and let p P {\displaystyle p_{P ...