Average Placement
PLCFNv0.1.0 · experimental · validated 2026-07-16What it measures
Mean finishing position across lobbies in the window.
Formal definition
Σ placement ÷ lobbies played.
Inputs
- placement events
Exclusions
None beyond the standard confidence floor.
Sample & population
- Minimum sample
- 8 lobbies
- Baseline population
- Players in the same window and lobby class
- Direction
- lower better
- Unit
- place
Percentile interpretation
Lower is better; read with lobby-strength context.
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
Finishes of 3, 11, 1, 24 → average 9.75.
Known limitations
- Lobby strength varies — Placement PAA adjusts for it; this raw form does not
- Not yet computed in the preview corpus — definition published ahead of engine support.
Change log
- v0.1.0 · 2026-07-16Initial baseline release