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Week 18 · Sun, Jan 10, 1:00 PM

DALatWAS
Coin flip, no callthis band has been right 52.8% of the time
DALWAS

Model leans

WAS

this band is 49.8% accurate, so treat it as no call

Model spread

WAS -2.6

Market spread

n/a

the market forecasts these games better than this model

How the teams compare

heaviest model weight first · 0–100, oriented so higher is always better

Expected Points Added per play· weight 11.8

Offense

DAL73
WAS46

EPA allowed

DAL0
WAS3

Passing efficiency· weight 8.0

Offense

DAL70
WAS38

EPA allowed

DAL1
WAS11

Drive-sustaining rate· weight 6.6

Offense

DAL80
WAS64

EPA allowed

DAL2
WAS6

Position-weighted availability score· weight 6.6

No data yet for this metric. Nothing has been published for these teams at this point in the week. It will fill in once it exists.

Sacks taken per dropback· weight 5.7

Offense

DAL74
WAS48

defensive rate

DAL39
WAS79

Rushing efficiency

Offense

DAL60
WAS81

EPA allowed

DAL2
WAS2

Completion % Over Expected

Offense

DAL33
WAS57

EPA allowed

DAL3
WAS51

Giveaways per play

Offense

DAL66
WAS40

defensive rate

DAL2
WAS3

20+ yard completions per attempt

Offense

DAL60
WAS50

EPA allowed

DAL11
WAS60

This chart is not the model. It shows the inputs that read well as a side-by-side. 7 of the model’s heaviest-weighted inputs have no head-to-head form and are not drawn here: point differential, overall matchup, team win rate, pass matchup among them. The full list of all 55 is on the methodology tab.

Around the game

  • Recent formWAS

    WAS -5.7 pts/game trend

    Over the last 10 games (exponentially weighted), WAS has been being outscored by opponents by 5.7 points per game.

  • Recent formDAL

    DAL -5.6 pts/game trend

    Over the last 10 games (exponentially weighted), DAL has been being outscored by opponents by 5.6 points per game.

  • VenueWAS

    WAS at home

    Home teams have won 54.7% of games in the training window; the model prices this in rather than applying a fixed bonus.

  • Context

    Divisional matchup

    Familiar opponents; historically tighter margins.

Every figure here comes from Calibrated Logistic Regression (core + market features), validated walk-forward by season (train on all prior seasons, test on the next). For how the model is built, what the metrics mean and how it has actually performed, read the methodology.