u/HelperApp2026

Local Android app. Logs spins, runs chi-square (signed deviation), Markov transition analysis, and a 131-feature XGBoost model alongside 13 other engines. Outputs a consensus pick with per-engine confidence.

I'm not claiming an edge on a fair wheel — the use case is biased-wheel detection and dealer-signature tracking with enough sample size to matter. Happy to walk through the math, post the engine weights, or share how the composite scorer handles dealer variance. Tear it apart.