Data integrity
Event, participant, market, point, book, and observation time resolve to one canonical identity.
The old engine ranked converging market signals. Phase 1 replaces that with sport-specific probability models and treats the market as a feature, comparison, and execution venue—not the answer key.
Every modeled market is stored. Only candidates passing all five gates enter the simulated ledger.
Event, participant, market, point, book, and observation time resolve to one canonical identity.
The probability comes from a frozen model version evaluated without future information.
The offered price exceeds fair value after removing vig and applying an uncertainty haircut.
The line is obtainable, current, and not an isolated bad feed or obviously voidable error.
Stake and correlated exposure remain inside the paper bankroll limits.
Are stated probabilities calibrated?
How costly are confident mistakes?
Did the selected price beat a captured close?
Did qualified paper bets make money?
Could the strategy survive its losing path?
How often does the system find a valid edge?
Diamond Starter v2.0.0 trained on 2022–2024, selected its settings on 2025, then opened 2026 once. Team context, probable-starter strength, and rest are frozen before each result.
Starter identity improves the sealed test again, but only slightly, and historical starter records are not timestamped pregame evidence. Version 2 remains research-only until bullpen, lineup, park, travel, weather, price benchmarking, and a prospective sample support it.
Model versions, features, forecasts, odds observations, qualification decisions, and paper tickets are immutable records. Corrections append an audit event.
A new methodology starts a new phase. It never edits the denominator of an older one.
Diamond Weather Total v4.0.0 estimates the full-game run distribution using team and starter form, schedule load, travel, park history, elevation, surface, roof type, and outdoor weather. Settings were selected across rolling 2023–2025 holdouts; 2026 is descriptive, not resealed.
The contextual model modestly beats its team-only projection, but baseball totals remain noisy. Its over/under probabilities are forward shadow forecasts; no historical line archive means no betting claim.