Trimmed Mean
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Averages of where you finish — fair across uneven schedules. The formula and explanation below describe Trimmed Mean.
How it works About 1 min read
Trimmed Mean removes the best and worst result(s) before averaging. It's like the Olympic judging approach: throw out the highest and lowest scores.
How it works: Drop the top and bottom placement(s) from your results, then calculate the mean of what remains. With finishes [1, 2, 3, 3, 9], dropping the best and worst gives mean(2, 3, 3) = 2.67.
When to use it: When you want a balanced view that isn't skewed by either a lucky win or an unlucky catastrophe. Works with both placements and raw scores.
Watch out for: Requires at least 3 matches to work (need something left after trimming). The number of results to trim is configurable.
Will it fit your results?
Also in Average & Percentile
Averages of where you finish — fair across uneven schedules.