Clutch Conversion
CL%R6v0.1.0 · experimental · validated 2026-07-16What it measures
1-versus-many situations won, detected from the kill sequence.
Formal definition
Clutch situations won ÷ faced (side reduced to one living player vs ≥2).
Inputs
- ordered kill events
- round results
Exclusions
None beyond the standard confidence floor.
Sample & population
- Minimum sample
- 10 clutch situations
- Baseline population
- Players in the same game/window
- Direction
- higher better
- Unit
- %
Percentile interpretation
Read with situation mix.
Confidence = source confidence × model confidence. Values from baseline models are capped at 0.7. Below-minimum samples display the value grayed out with no percentile.
Example
Wins 3 of 9 detected 1vN situations → 33.3%.
Known limitations
- Small-sample metric; percentiles suppressed below minimum
- Not yet computed in the preview corpus — definition published ahead of engine support.
Change log
- v0.1.0 · 2026-07-16Initial baseline release