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Week 8 · Thu, Oct 29, 8:15 PM

CARatGB
Medium confidencethis band has been right 63.4% of the time
CARGB

Model picks

GB

Model spread

GB -2.2

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

CAR24
GB78

EPA allowed

CAR21
GB15

Passing efficiency· weight 8.0

Offense

CAR22
GB71

EPA allowed

CAR30
GB16

Drive-sustaining rate· weight 6.6

Offense

CAR29
GB69

EPA allowed

CAR25
GB17

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

CAR64
GB22

defensive rate

CAR49
GB14

Rushing efficiency

Offense

CAR38
GB46

EPA allowed

CAR13
GB38

Completion % Over Expected

Offense

CAR63
GB72

EPA allowed

CAR39
GB38

Giveaways per play

Offense

CAR24
GB91

defensive rate

CAR37
GB16

20+ yard completions per attempt

Offense

CAR31
GB93

EPA allowed

CAR85
GB25

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

  • RestGB

    GB on a short week

    Only 4 days of rest.

  • RestCAR

    CAR on a short week

    Only 4 days of rest.

  • SchemeGB

    GB faces a 3-4 front

    CAR's roster profiles as a 3-4 base defense (nose tackle present, OLB-heavy edge group).

    Base front is inferred from roster composition (agrees with snap data at Spearman 0.50). Most teams play nickel by default, so this is a weak descriptor: measured defensive efficiency carries far more weight in the model.

  • SchemeCAR

    CAR faces a 4-3 front

    GB's roster profiles as a 4-3 base defense.

    Base front is inferred from roster composition (agrees with snap data at Spearman 0.50). Most teams play nickel by default, so this is a weak descriptor: measured defensive efficiency carries far more weight in the model.

  • Recent formGB

    GB -3.7 pts/game trend

    Over the last 10 games (exponentially weighted), GB has been being outscored by opponents by 3.7 points per game.

  • Recent formCAR

    CAR -4.3 pts/game trend

    Over the last 10 games (exponentially weighted), CAR has been being outscored by opponents by 4.3 points per game.

  • VenueGB

    GB 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.