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Week 8 · Sun, Nov 1, 1:00 PM

ATLatTB
Coin flip, no callthis band has been right 52.8% of the time
ATLTB

Model leans

TB

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

Model spread

TB -2.3

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

ATL46
TB52

EPA allowed

ATL49
TB20

Passing efficiency· weight 8.0

Offense

ATL48
TB45

EPA allowed

ATL65
TB16

Drive-sustaining rate· weight 6.6

Offense

ATL43
TB48

EPA allowed

ATL61
TB27

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

ATL75
TB37

defensive rate

ATL94
TB23

Rushing efficiency

Offense

ATL42
TB77

EPA allowed

ATL23
TB80

Completion % Over Expected

Offense

ATL19
TB43

EPA allowed

ATL81
TB10

Giveaways per play

Offense

ATL76
TB64

defensive rate

ATL58
TB56

20+ yard completions per attempt

Offense

ATL36
TB68

EPA allowed

ATL25
TB41

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 formTB

    TB -2.1 pts/game trend

    Over the last 10 games (exponentially weighted), TB has been being outscored by opponents by 2.1 points per game.

  • Recent formATL

    ATL -1.1 pts/game trend

    Over the last 10 games (exponentially weighted), ATL has been being outscored by opponents by 1.1 points per game.

  • VenueTB

    TB 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.