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  2. 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 ...

  3. Odds ratio - Wikipedia

    en.wikipedia.org/wiki/Odds_ratio

    An odds ratio (OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of event A taking place in the presence of B, and the odds of A in the absence of B. Due to symmetry, odds ratio reciprocally calculates the ratio of the odds of B occurring in the presence of A, and the odds of B in the absence of A.

  4. Total quarterback rating - Wikipedia

    en.wikipedia.org/wiki/Total_Quarterback_Rating

    There is a discount on garbage time, or a time where the score is out of reach near the end of the game. Opponent adjustment: More credit is given with tougher defenses and vice versa. QBR averages the adjusted EPA per play and transforms it to a 0 to 100 scale, with 50 being average.

  5. Offensive rating - Wikipedia

    en.wikipedia.org/wiki/Offensive_rating

    Offensive proficiency rating or offensive productive efficiency is a statistic used in basketball to measure either a team's offensive performance or an individual player's efficiency at producing points for the offense by approximating the number of points generated by a team or individual over 100 possessions.

  6. Standard score - Wikipedia

    en.wikipedia.org/wiki/Standard_score

    Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.

  7. Expected value - Wikipedia

    en.wikipedia.org/wiki/Expected_value

    The book extended the concept of expectation by adding rules for how to calculate expectations in more complicated situations than the original problem (e.g., for three or more players), and can be seen as the first successful attempt at laying down the foundations of the theory of probability. In the foreword to his treatise, Huygens wrote:

  8. Probability - Wikipedia

    en.wikipedia.org/wiki/Probability

    The probabilities of rolling several numbers using two dice. Probability is the branch of mathematics and statistics concerning events and numerical descriptions of how likely they are to occur.

  9. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    More generally, for each value of , we can calculate the corresponding likelihood. The result of such calculations is displayed in Figure 1. The result of such calculations is displayed in Figure 1. The integral of L {\textstyle {\mathcal {L}}} over [0, 1] is 1/3; likelihoods need not integrate or sum to one over the parameter space.