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.
avg((score - min) / (max - min) × 100)
Best at
Groups playing many different scored games under a single ranking with uneven attendance.
Where it misleads
Meaningless for win-only games, and it captures your position within the match rather than the size of the margin.
How it works
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.