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Normalized Score Avg

The same 0-100 rescaling, averaged instead of summed, so a 40-point Skyjo hand and a 120-point Qwirkle game compare fairly.

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Uses the raw game scores, rescaled so different games compare. The formula and explanation below describe Normalized Score Avg.

How it works About 1 min read

Normalized Score Average is like the sum variant, but divided by matches played. It measures average normalized performance regardless of how many matches you've played.

How it works: Calculate each match's normalized score (0-100 scale), then take the arithmetic mean. A score of 75 means you typically perform in the top quarter relative to each match's field.

When to use it: When players have played different numbers of matches and you want a fair per-match performance metric based on scores. This remains the clearest score-based default for mixed participation because the output is still a 0-100 style average.

Watch out for: Same min-max normalization caveat as the Sum variant: it captures relative position within the match, not the absolute size of the margin. Players with few matches may have volatile averages; use Z-Score Sum for larger, analytically minded groups that care about score spread.

Will it fit your results?
Works well with

Games whose results this method reads cleanly

Also in Score-Based

Uses the raw game scores, rescaled so different games compare.

Normalized Score Avg — How You Rank