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Week 15 · Sun, Dec 20, 1:00 PM

CINatCAR
Low confidencethis band has been right 57.3% of the time
CINCAR

Model picks

CAR

Model spread

CAR -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

CIN81
CAR24

EPA allowed

CIN23
CAR21

Passing efficiency· weight 8.0

Offense

CIN65
CAR22

EPA allowed

CIN43
CAR30

Drive-sustaining rate· weight 6.6

Offense

CIN93
CAR29

EPA allowed

CIN39
CAR25

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

CIN70
CAR64

defensive rate

CIN98
CAR49

Rushing efficiency

Offense

CIN92
CAR38

EPA allowed

CIN9
CAR13

Completion % Over Expected

Offense

CIN88
CAR63

EPA allowed

CIN65
CAR39

Giveaways per play

Offense

CIN68
CAR24

defensive rate

CIN47
CAR37

20+ yard completions per attempt

Offense

CIN43
CAR31

EPA allowed

CIN8
CAR85

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

  • SchemeCAR

    CAR faces a 3-4 front

    CIN'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.

  • SchemeCIN

    CIN 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.

  • 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.

  • Recent formCIN

    CIN +2.0 pts/game trend

    Over the last 10 games (exponentially weighted), CIN has been outscoring opponents by 2.0 points per game.

  • VenueCAR

    CAR 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.

  • Weather

    High wind expected

    16 mph winds suppress deep passing and kicking.

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.