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  2. Three-point estimation - Wikipedia

    en.wikipedia.org/wiki/Three-point_estimation

    These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.

  3. Back-of-the-envelope calculation - Wikipedia

    en.wikipedia.org/wiki/Back-of-the-envelope...

    In the natural sciences, back-of-the-envelope calculation is often associated with physicist Enrico Fermi, [2] who was well known for emphasizing ways that complex scientific equations could be approximated within an order of magnitude using simple calculations.

  4. Pythagorean expectation - Wikipedia

    en.wikipedia.org/wiki/Pythagorean_expectation

    Pythagorean expectation is a sports analytics formula devised by Bill James to estimate the percentage of games a baseball team "should" have won based on the number of runs they scored and allowed. Comparing a team's actual and Pythagorean winning percentage can be used to make predictions and evaluate which teams are over-performing and under ...

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  6. Adjusted ERA+ - Wikipedia

    en.wikipedia.org/wiki/Adjusted_ERA+

    ERA+ is calculated as: + = Where ERA is the pitcher's ERA, lgERA is the average ERA of the league, and PF is the park factor of the pitcher in question.. This formula is now standard, [1] although Baseball-Reference.com briefly used a different formula which took values strictly between 0 and 200 instead of between 0 and infinity, but the current website shows values above 200 so it is clearly ...

  7. 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 ...

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