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Week 5 · Thu, Oct 8, 8:15 PM

TBatDAL
High confidencethis band has been right 74.1% of the time
TBDAL

Model picks

DAL

Model spread

DAL -3.3

Market spread

3.5

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

TB52
DAL73

EPA allowed

TB20
DAL0

Passing efficiency· weight 8.0

Offense

TB45
DAL70

EPA allowed

TB16
DAL1

Drive-sustaining rate· weight 6.6

Offense

TB48
DAL80

EPA allowed

TB27
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

TB37
DAL74

defensive rate

TB23
DAL39

Rushing efficiency

Offense

TB77
DAL60

EPA allowed

TB80
DAL2

Completion % Over Expected

Offense

TB43
DAL33

EPA allowed

TB10
DAL3

Giveaways per play

Offense

TB64
DAL66

defensive rate

TB56
DAL2

20+ yard completions per attempt

Offense

TB68
DAL60

EPA allowed

TB41
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.

  • RestTB

    TB 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 formTB

    TB -2.1 pts/game trend

    Over the last 10 games (exponentially weighted), TB has been being outscored by opponents by 2.1 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.

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.