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Week 11 · Sun, Nov 22, 1:00 PM

ARIatKC
Medium confidencethis band has been right 63.4% of the time
ARIKC

Model picks

KC

Model spread

KC -3.7

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

ARI49
KC7

EPA allowed

ARI1
KC82

Passing efficiency· weight 8.0

Offense

ARI37
KC5

EPA allowed

ARI2
KC76

Drive-sustaining rate· weight 6.6

Offense

ARI61
KC8

EPA allowed

ARI1
KC94

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

ARI14
KC5

defensive rate

ARI14
KC58

Rushing efficiency

Offense

ARI67
KC60

EPA allowed

ARI12
KC77

Completion % Over Expected

Offense

ARI57
KC10

EPA allowed

ARI22
KC73

Giveaways per play

Offense

ARI58
KC77

defensive rate

ARI5
KC12

20+ yard completions per attempt

Offense

ARI53
KC18

EPA allowed

ARI26
KC65

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 formKC

    KC -3.2 pts/game trend

    Over the last 10 games (exponentially weighted), KC has been being outscored by opponents by 3.2 points per game.

  • Recent formARI

    ARI -13.4 pts/game trend

    Over the last 10 games (exponentially weighted), ARI has been being outscored by opponents by 13.4 points per game.

  • VenueKC

    KC 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.