NFL
Model LabOutcome-specific forecasting
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Forecast overview

The strongest candidate for every outcome, with its evidence attached.

Best models by outcome

Click any row for the full model record

Relative quality

Best finalist in each outcome

Recent projections

Candidate model explorer

Compare finalists, then inspect validation confidence, features, and weighting.

Candidate comparison

Lower error or log loss is better

Game predictions

Select a scheduled matchup, optionally add a custom line, and use the saved best model for each outcome.

Today's games

Schedule

Saved runs

Opening a result never retrains models

Feedback and calibration

Your calls update a transparent calibration layer; completed source games still drive full model retraining.

Point-call accuracy by metric

Each game and participant counts once; ladder levels do not add observations.

Threshold probability calibration

All configured +25, +50, and other probability markers

Recorded outcomes

Data and models

Sync schedules and results, resolve completed calls, refit changed models, and refresh upcoming projections.

Update model lab

Completed seasons already on disk are reused. The active season is synced, completed calls are graded from real results, changed models refit, and saved upcoming calls are recalculated.

Advanced data import

Run activity

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