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divisional-dog-moneyline-4

NFL · custom

divisional-dog-moneyline-4-37a9264d
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Track record is temporarily unavailable.

Closing-line record unavailable.

A model built on the thesis that divisional underdogs are sharper than the market — familiarity compresses margins toward the dog; trained with calibrated ensemble and quarter kelly staking, sliced to divisional games games, will beat the closing moneyline on a held-out eval window. Kill criterion: ROI below 0 vs the close after 200 graded bets.

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Turn knobs to put your own spin on divisional-dog-moneyline-4. Every change re-runs the backtest over real graded nfl games.

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Backtest record

0-0 on 0 graded games

ATS win rate vs the original

Not enough graded games yet — 0 of the 10 this comparison needs.

Lens

Balanced

Every graded game.

Lens
Market slice
Train window
Engine

See the full run

You're seeing the headline record, the last 0 graded games and the sparkline. Unlock every graded game, the per-slice record, CLV proof and your remix's upcoming picks with Pro — just $1.00 first week.

Draft tracking

No future draft picks are declared in this model's latest version.

ROI equity curve

No settled per-bet backtest data is available for this model yet.

Tune it

Pick a dial to see how tuning this model changes its win rate on the same graded games.

Model calibration

10 probability bins from settled public-model picks. The diagonal is perfect calibration.

sport: all season: all

No settled public-model confidence results match these filters yet.

CLV history is temporarily unavailable.

Inputs

No feature slugs declared on this card.

Assumptions

  • A model built on the thesis that divisional underdogs are sharper than the market — familiarity compresses margins toward the dog; trained with calibrated ensemble and quarter kelly staking, sliced to divisional games games, will beat the closing moneyline on a held-out eval window. Kill criterion: ROI below 0 vs the close after 200 graded bets.

Known limitations

  • Auto-generated by nflbets Lab from grind ledger evidence; inspect benchmark artifacts before making supported thesis claims.

Version history

  1. v1.0.0 Jul 5, 2026

Lineage

No ancestors or forks. This model stands alone — yet.

Discussion

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