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Week 18 · Sun, Jan 10, 1:00 PM

SEAatLAR
Coin flip, no callthis band has been right 52.8% of the time
SEALAR

Model leans

LAR

this band is 49.8% accurate, so treat it as no call

Model spread

LAR -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

SEA76
LAR96

EPA allowed

SEA98
LAR30

Passing efficiency· weight 8.0

Offense

SEA75
LAR90

EPA allowed

SEA98
LAR33

Drive-sustaining rate· weight 6.6

Offense

SEA79
LAR95

EPA allowed

SEA82
LAR28

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

SEA42
LAR88

defensive rate

SEA67
LAR44

Rushing efficiency

Offense

SEA64
LAR90

EPA allowed

SEA64
LAR30

Completion % Over Expected

Offense

SEA73
LAR35

EPA allowed

SEA66
LAR48

Giveaways per play

Offense

SEA95
LAR92

defensive rate

SEA87
LAR45

20+ yard completions per attempt

Offense

SEA26
LAR96

EPA allowed

SEA47
LAR45

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 formLAR

    LAR +5.2 pts/game trend

    Over the last 10 games (exponentially weighted), LAR has been outscoring opponents by 5.2 points per game.

  • Recent formSEA

    SEA +13.9 pts/game trend

    Over the last 10 games (exponentially weighted), SEA has been outscoring opponents by 13.9 points per game.

  • VenueLAR

    LAR 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.

  • Context

    Divisional matchup

    Familiar opponents; historically tighter margins.

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.