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  2. Win probability - Wikipedia

    en.wikipedia.org/wiki/Win_Probability

    Win probability is a statistical tool which suggests a sports team's chances of winning at any given point in a game, based on the performance of historical teams in the same situation. [1] The art of estimating win probability involves choosing which pieces of context matter.

  3. Log5 - Wikipedia

    en.wikipedia.org/wiki/Log5

    Log5 is a method of estimating the probability that team A will win a game against team B, based on the odds ratio between the estimated winning probability of Team A and Team B against a larger set of teams.

  4. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    [50] [13] [49] The conditional probability of winning by switching is ⁠ 1/3 / 1/3 + 1/6 ⁠, which is ⁠ 2 / 3 ⁠. [2] The conditional probability table below shows how 300 cases, in all of which the player initially chooses door 1, would be split up, on average, according to the location of the car and the choice of door to open by the host.

  5. Win probability added - Wikipedia

    en.wikipedia.org/wiki/Win_probability_added

    In win shares, a player with 0 win shares has contributed nothing to his team; in win probability added, a player with 0 win probability added points is average. Also, win shares would give the same amount of credit to a player if he hit a lead-off solo home run as if he hit a walk-off solo home run; WPA, however, would give vastly more credit ...

  6. Odds algorithm - Wikipedia

    en.wikipedia.org/wiki/Odds_algorithm

    When =, Ano, Kakinuma & Miyoshi 2010 showed that the tight lower bound of win probability is equal to +. For general positive integer r {\displaystyle r} , Matsui & Ano 2016 proved that the tight lower bound of win probability is the win probability of the secretary problem variant where one must pick the top-k candidates using just k attempts .

  7. Winning percentage - Wikipedia

    en.wikipedia.org/wiki/Winning_percentage

    For example, if a team's season record is 30 wins and 20 losses, the winning percentage would be 60% or 0.600: % = % If a team's season record is 30–15–5 (i.e. it has won thirty games, lost fifteen and tied five times), and if the five tie games are counted as 2 1 ⁄ 2 wins, then the team has an adjusted record of 32 1 ⁄ 2 wins, resulting in a 65% or .650 winning percentage for the ...

  8. On-base percentage - Wikipedia

    en.wikipedia.org/wiki/On-base_percentage

    The statistic was invented in the late 1940s by Brooklyn Dodgers statistician Allan Roth with then-Dodgers general manager Branch Rickey. [3] [4] In 1954, Rickey, who was then the general manager of the Pittsburgh Pirates, was featured in a Life Magazine graphic in which the formula for on-base percentage was shown as the first component of an all-encompassing "offense" equation. [5]

  9. Win Shares - Wikipedia

    en.wikipedia.org/wiki/Win_Shares

    Win shares is the name of the metric developed by James in his book. It considers statistics for baseball players, in the context of their team and in a sabermetric way, and assigns a single number to each player for his contributions for the year. A win share represents one-third of a team win, by definition. [2]