Model Discipline Preview

Calibration Lab Preview

The calibration layer checks whether confidence bands, sport formulas, and simulation probabilities match real outcomes.

Home Compare Access

1 Backfill firstHistorical seasons train discipline before the next season starts.

2 Use prior-only windowsLive authority should only use data the model could have known before game time.

3 Track driftWhen a bucket stops working, the platform should catch it.

Calibration Lab Sample

Preview the signals, context, and workflow this feature adds before opening the full board.

Sample View

Confidence BandsDoes 80% act like 80%?Calibration compares projected probability against actual resolved hit rates.

Backfill DisciplinePrior-only windowsHistorical testing must only use what the model knew before the game.

Drift DetectionEdges expireWhen featured buckets cool off, the system should flag the drop.

Every page should teach one specific part of the product.

LearnUnderstand the signalThis page teaches what the feature does before asking users to pay for depth.

CompareSee what changes the readGood betting intelligence explains why the answer moves.

DecideSupport, caution, or passThe platform should help users make cleaner decisions.

UpgradePaid depth opens the workflowFull boards add filters, saved work, and sport-specific context.