Most models assume. Ours measure — real games, real dependence between outcomes. Every probability is sealed before first pitch and graded against what actually happened the next morning. When the data can’t support an answer, it doesn’t get one.
Free during beta · No card required · MLB live now, more leagues in development
Our methods build on peer-reviewed research in quantum-inspired modeling — and unlike most of this industry, every probability we publish is graded against real outcomes the next morning. The receipts, not the promises, are the product.
Quantum neural network for match prediction · 2025
Every prediction follows a four-stage pipeline from data ingestion to confidence-scored output.
Schedules, box scores, and outcomes — continuously ingested and self-updating. Thousands of games, player stats, and historical records.
Multi-factor probabilities measured from how games actually behave together — not naive independence math.
Only what proves itself reaches you. Continuous learning, graded nightly.
Every number carries its provenance: the engine, the real games behind it, and how it grades.
No invented numbers. The dependence between outcomes is measured from real games (φ), published only when it clears a statistical significance gate (2·SE) — and every probability carries its evidence count and full audit trail.
MLB is live and graded nightly in beta. Seven more leagues run on the same architecture, in staged rollout.