Z-Score Sum

Z-Score Sum converts each match score into standard deviations above or below the match mean, then sums them. It's the statistician's choice for measuring relative performance.

How it works: For each match: z = (your_score - match_mean) / match_std_dev. Sum all z-scores. A positive total means you're consistently above average; a highly positive total means you dominate.

When to use it: When you want a rigorous statistical measure that accounts for both the average and the spread of scores in each match. It rewards performing well above the competition, not just finishing above the minimum score.

Watch out for: Requires at least 2 players with scores per match and enough repeated data for stable interpretation. The numbers aren't intuitive for casual players, so normalized score methods are usually better defaults until a group has a mature scored dataset.