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How to read a recent-game trend
Use a repeatable process to decide whether a five- or ten-game run reflects a changed opportunity, a changed skill signal, or ordinary variance.
Read the guide →Statly research library
Read the context behind the number.
A statistic is evidence, not a conclusion. These guides explain how to compare short and long samples, separate role changes from noise, verify lineup assumptions, and build a matchup view that records uncertainty instead of hiding it.
Sample size
Small samples, variance, and false confidence
Learn why short samples move so quickly, how selection bias distorts a trend, and which comparison baselines make a number more useful.
Read the guide →Availability
Lineups, roles, and late information
Build an availability-first workflow for projected lineups, probable starters, minutes, usage, injuries, rest, and confirmation timing.
Read the guide →Matchups
A practical matchup-research checklist
Combine baseline performance, current role, opponent environment, schedule context, and uncertainty without counting the same signal twice.
Read the guide →