calibrated sports research
A model that knows
when it doesn’t know.
CalibratedOdds is a disciplined research bench for sports prediction. It estimates scores, spreads, and win probabilities, measures itself honestly against the market, and stays quiet when it has no edge. No hype, no “locks” — just calibrated numbers and a track record it can’t quietly rewrite.
The discipline
No edge, no pick
Picks publish only on lean/strong tiers with earned model weight. A blank slate is the discipline working — not a bug.
Immutable commitments
Every morning's predictions are hashed (SHA-256) and locked. The track record can't be edited after the fact.
Measured vs. market
CLV, margin MAE, and calibration are reported in the open — including when the model just matches the line.
Hypothetical only
Performance is shown in simulated flat units. CalibratedOdds is research & education — never a sportsbook.
On the bench
Daily slate
Model scores, spreads, totals, and win probabilities for the next 36 hours — side by side with the market line.
Calibration scoreboard
Win/loss record, units, CLV, and prediction accuracy, all gated behind a minimum sample so small-n noise can't masquerade as skill.
Multi-sport coverage
MLB, NBA, NFL, NCAAF, and NCAAB on one adaptive engine that learns its own confidence per sport.
$0 data budget
Built to run on free-tier odds and schedules — disciplined about cost the same way it's disciplined about claims.
See today’s slate and the standing record.
The dashboard is live with whatever the model actually committed to — wins, losses, and quiet days included.
Open the research dashboard →