Entry Value Above Expected
Entry+R6v0.1.0 · baseline · validated 2026-07-16What it measures
Opening-engagement value adjusted for difficulty, using the R6 coefficient set of the duel model.
Formal definition
Over opening duels: Σ(actual − xDuel) per round played.
Inputs
- opening duel events
- xduel_r6
Exclusions
None beyond the standard confidence floor.
Sample & population
- Minimum sample
- 20 opening duels
- Baseline population
- Players in the same game/window
- Direction
- higher better
- Unit
- value/round
Percentile interpretation
Compare within entry/flex roles.
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
Winning a droned-out 0.45-xDuel entry onto site contributes +0.55.
Known limitations
- v0 coefficients are synthetic-calibrated priors
- Vertical angle advantage approximated by floor delta only
Current distribution
career window · n=10 eligible playersModel card
xduel_r6 v0.1.0Hand-specified directional priors, sanity-calibrated on the synthetic fixture corpus v1 (fictional matches). NOT fitted on production esports data.
Reliability checked on synthetic corpus only; expect miscalibration on real data until re-fit. Confidence for downstream metrics is capped at 0.7 while status=baseline.
- weapon_advWeapon-class matchup advantage (attacker perspective, -1..1)
- dist_closeEngagement below close-range threshold
- dist_longEngagement beyond long-range threshold
- health_diff(attacker HP − victim HP) / 100 at engagement
- armor_advAttacker has armor
- victim_flashedVictim blind fraction (blind ms / 1500, capped)
- attacker_flashedAttacker blind fraction
- through_smokeEngagement through smoke
- attacker_supportedAttacker teammate within trade range
- victim_isolatedVictim's nearest teammate beyond trade range
Coefficients (v0.1.0)
Betting or wagering decisions · Cross-game comparisons · Absolute skill claims
Change log
- v0.1.0 · 2026-07-16Initial baseline release