ASD AllSportData — Better Research. Better Decisions. MLB, NBA, NFL, and NHL.

SPORTS INTELLIGENCE PLATFORM

Choose your sport.

One home for evidence-based matchup analysis, projections, simulations, pattern research, and decision support. Enter a league to inspect its operational data, research, and performance history.

All four sport workspaces are open. Picks only appear after their league-specific evidence and value gates pass.

ASD AllSportData
Institutional Methodology

How AllSportData moves from raw data to a decision

The ASD pipeline keeps source data, derived features, projections, simulations, confidence, pattern evidence, market comparison, and performance evaluation as separate auditable stages.

1. Source and normalize

Official league data and authorized market feeds are normalized into single-purpose daily research tables. Missing values remain missing; they are never treated as supporting evidence.

2. Build context

Only inputs applicable to the entity, matchup, venue, date, role, and market are joined. Postponed games and unavailable players are removed from active decisions.

3. Estimate and simulate

Context projections estimate fair outcomes. Simulations then test coherent game scripts with discrete baseball events, whole-number scoring, and internally consistent RBI and run paths.

4. Score confidence

Confidence reflects evidence strength, completeness, model agreement, historical calibration, and contradictions. It is not a claim of certainty.

5. Compare with price and evaluate

Price is checked only after the forecast. Qualified published decisions are frozen before play, settled from official results, and retained for performance review.