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Week 2 · Thu, Sep 17, 8:15 PM

DETatBUF
High confidencethis band has been right 74.1% of the time
DETBUF

Model picks

BUF

Model spread

BUF -4.8

Market spread

3

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

DET67
BUF92

EPA allowed

DET37
BUF66

Passing efficiency· weight 8.0

Offense

DET74
BUF84

EPA allowed

DET70
BUF88

Drive-sustaining rate· weight 6.6

Offense

DET81
BUF92

EPA allowed

DET61
BUF49

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

DET38
BUF48

defensive rate

DET88
BUF11

Rushing efficiency

Offense

DET25
BUF95

EPA allowed

DET4
BUF15

Completion % Over Expected

Offense

DET41
BUF89

EPA allowed

DET73
BUF94

Giveaways per play

Offense

DET60
BUF47

defensive rate

DET11
BUF37

20+ yard completions per attempt

Offense

DET90
BUF77

EPA allowed

DET48
BUF89

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

  • RestBUF

    BUF on a short week

    Only 4 days of rest.

  • RestDET

    DET on a short week

    Only 4 days of rest.

  • SchemeBUF

    BUF faces a 4-3 front

    DET'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.

  • SchemeDET

    DET faces a 4-3 front

    BUF'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 formBUF

    BUF +5.5 pts/game trend

    Over the last 10 games (exponentially weighted), BUF has been outscoring opponents by 5.5 points per game.

  • Recent formDET

    DET -0.1 pts/game trend

    Over the last 10 games (exponentially weighted), DET has been being outscored by opponents by 0.1 points per game.

  • VenueBUF

    BUF 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.