Predictive performance intelligence — built for high-stakes decisions.
Rymitan is a proprietary ML platform that ingests live data, engineers features, scores opportunities on a 100-point confidence model, and delivers auto-graded performance projections — across any domain where an edge can be quantified.
Most prediction services are a person with a spreadsheet. Rymitan is a complete machine learning pipeline — ingesting live data from multiple sources, engineering features, scoring every opportunity on 100 data points, and auto-grading every output against official results.
Five or more live data sources pulled fresh every day — stats APIs, advanced metrics, market odds, weather, and environmental factors.
Every opportunity is scored across five weighted components — edge, matchup, leash, environment, and market signal. No gut calls.
Expected value gates filter low-edge opportunities. Kelly Criterion at 25% fraction sizes every position — hard-capped at 2% of bankroll.
The system assembles a tiered daily card — flagship, parlay, and lotto — with unit sizes and confidence scores attached to every pick.
Every pick is graded nightly against official results. The running ledger is updated automatically — timestamped, verified, and auditable.
The Rymitan ML engine is domain-agnostic. Anywhere a quantifiable edge exists and data is available, the platform can be deployed. Sports betting is wave one.
Daily pitcher strikeout over/under card. Flagship, parlay, and lotto tiers. Live now and building track record.
Full pipeline audit for next season. Applying the same 100-point model to player performance projections.
Pipeline build begins August ahead of Week 1. Targeting player and team performance markets.
Rymitan is in its track-record-building phase. All picks are publicly posted and timestamped before game time. Paid tiers launch once the record is established.
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No spam. One email when paid tiers launch.
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