Wage Against The Machine
// sports model · live sniper · signal over noise

A sports betting research tool built around a live in-game scanner. It pulls team performance ratings, sharp money flow, and real-time line movement — then scores the convergence to find edges the market hasn't fully priced.

The core is a live sniper: a system that scans in-progress games for specific conditions where the line has moved away from the model's read on the game. When the signals align, it triggers automatically and logs the pick.

Everything on the dashboard is real — tracked picks, real outcomes, real P/L. No backtested curves. No cherry-picked results.

The pregame model scores games 0–100 across five components: model edge vs the market spread, sharp money signal, bet volume, line movement direction, and situational context. Only picks above threshold get logged.

The live model runs sport-specific trigger modes — each targeting a different market inefficiency: momentum dips, compression fades, competitive dogs, and pace-based totals. Each mode has its own gating logic and minimum score. A pick doesn't print without passing all of them.


Right now this is private — the dashboard is for internal tracking. A subscription tier is coming that will give access to:

The edge this kind of tooling provides isn't in having a hot tip — it's in systematic evaluation of every game, every line, without emotional bias or recency pressure.

The roadmap is a full live sports analytics platform — models running continuously across all major sports, push alerts on trigger events, and a subscriber interface built for serious bettors who want data, not opinions.

The foundation is already built and running. The picks on the dashboard are the record.

// get notified

Subscription access is limited. Drop your email to get on the early list when it opens.

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