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Week 12 · Thu, Nov 26, 4:30 PM

PHIatDAL
Coin flip, no callthis band has been right 52.8% of the timethe two models pick different sides
PHIDAL

Model leans

DAL

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

Model spread

PHI -0.2

Market spread

1.5

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

PHI53
DAL73

EPA allowed

PHI84
DAL0

Passing efficiency· weight 8.0

Offense

PHI51
DAL70

EPA allowed

PHI87
DAL1

Drive-sustaining rate· weight 6.6

Offense

PHI40
DAL80

EPA allowed

PHI71
DAL2

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

PHI75
DAL74

defensive rate

PHI71
DAL39

Rushing efficiency

Offense

PHI75
DAL60

EPA allowed

PHI49
DAL2

Completion % Over Expected

Offense

PHI52
DAL33

EPA allowed

PHI90
DAL3

Giveaways per play

Offense

PHI90
DAL66

defensive rate

PHI64
DAL2

20+ yard completions per attempt

Offense

PHI12
DAL60

EPA allowed

PHI56
DAL11

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

  • RestDAL

    DAL on a short week

    Only 4 days of rest.

  • RestPHI

    PHI on a short week

    Only 4 days of rest.

  • 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.

  • Recent formPHI

    PHI +2.3 pts/game trend

    Over the last 10 games (exponentially weighted), PHI has been outscoring opponents by 2.3 points per game.

  • VenueDAL

    DAL 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.