Normalized Score Avg
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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.
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Also in Score-Based
Uses the raw game scores, rescaled so different games compare.