I built GRM Pro because I was tired of betting on instinct and losing money I could have kept. I'm a solo developer. I built this entirely on my phone — no team, no funding, no server. Just Termux, a Bayesian probability engine, and three months of obsessive iteration. The model has processed over 1,000 fixtures across 30+ leagues and sits consistently above 60% accuracy. The problem I was solving is simple: the betting industry sells you confidence without data. Tipsters claim hit rates they can't prove. Odds hide the real probabilities. Everyone is guessing and calling it analysis. GRM doesn't guess. It builds every pick from empirical historical rates, Bayesian blending of season form and recent form, and a deflation curve calibrated against real backtest data. When the engine says 78% — that number came from actual results, not a formula someone made up. The Rollover system is what I'm most proud of. It's not a gimmick. It's a mathematically structured compounding chain — pick quality filtered to ≥65% empirical rate, combined odds locked at ~2.00, with a three-bucket system that protects profit even when a step fails. Built for the long game. This is v1. Still solo. Still on a phone. But it's real, it works, and today it's live.

Goal Range Model (beta)

Stop guessing. Let the data pick your bets.

Stop guessing. Let the data pick your bets.