Intelligence methodology and public evidence standard
BettorsACE is designed as a sports-intelligence and decision-support platform. Production model outputs are review controlled, evidence linked, and separated from wagering execution, staking, custody, settlement, and payout authority.
How the intelligence lifecycle works
What BettorsACE measures
Win rate alone is not a sufficient model-quality measure. BettorsACE is structured to evaluate calibration, market-relative price quality, closing-line value, confidence-bucket behavior, sample size, model version, source freshness, and final result. This reduces the incentive to cherry-pick isolated wins.
- Calibration: whether stated probabilities behave like observed frequencies over meaningful samples.
- Closing-line value: whether published prices compare favorably with later market prices.
- Provenance: which evidence and model state produced a released intelligence record.
- No-action discipline: passes and insufficient-evidence states remain valid outputs.
Public evidence interfaces
The production backend maintains public-ledger interfaces for released picks, aggregate performance, and individual evidence records. These interfaces are intended to support product UI, audits, research, and future machine-readable proof surfaces without granting transaction authority.
/v1/ace-picks— released public intelligence records./v1/ace-picks/performance— aggregate public performance evidence./v1/ace-pick— individual public record lookup.
Commercial boundary
BettorsACE can charge for software subscriptions, intelligence reports, creator/operator workflows, and approved API access. Those products sell analytics and software services. Bankroll funding, wager execution, settlement, staking/custody, and payout processing are outside the canonical production product.
Claims discipline
No model eliminates risk or guarantees profit. Public claims should be supported by observable production evidence and bounded to the time period, model version, sport, market, and sample represented by that evidence. If reliable evidence is unavailable, the correct output is to say so rather than invent a prediction or performance statistic.