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  2. Slugging percentage - Wikipedia

    en.wikipedia.org/wiki/Slugging_percentage

    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:

  3. On-base percentage - Wikipedia

    en.wikipedia.org/wiki/On-base_percentage

    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.

  4. Pythagorean expectation - Wikipedia

    en.wikipedia.org/wiki/Pythagorean_expectation

    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]

  5. On-base plus slugging - Wikipedia

    en.wikipedia.org/wiki/On-base_plus_slugging

    On-base plus slugging (OPS) is a sabermetric baseball statistic calculated as the sum of a player's on-base percentage and slugging percentage. [1] The ability of a player both to get on base and to hit for power, two important offensive skills, are represented.

  6. Win probability - Wikipedia

    en.wikipedia.org/wiki/Win_Probability

    There are a limited number of possible states, and so baseball win probability tools usually have enough data to make an informed estimate. American football win probability estimates often include whether a team is home or away, the down and distance, score difference, time remaining, and field position.

  7. Win Shares - Wikipedia

    en.wikipedia.org/wiki/Win_Shares

    The formula for calculating win shares takes up pages 16–100 in the book. The general approach is to take the team's win shares (i.e., 3 times its number of wins) and divide them between offense and defense. In baseball, all the player's pitching, hitting, and defensive contributions are considered. Statistics are adjusted for park, league ...

  8. Secondary average - Wikipedia

    en.wikipedia.org/wiki/Secondary_average

    Secondary average, or SecA, is a baseball statistic that measures the sum of extra bases gained on hits, walks, and stolen bases (less times caught stealing) depicted per at bat. [1] Created by Bill James , it is a sabermetric measurement of hitting performance that seeks to evaluate the number of bases a player gained independent of batting ...

  9. Log5 - Wikipedia

    en.wikipedia.org/wiki/Log5

    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 ...