← All games

Week 5 · Sun, Oct 11, 8:20 PM

BALatATL
Low confidencethis band has been right 57.3% of the time
BALATL

Model picks

BAL

Model spread

BAL -5.6

Market spread

-4.5

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

BAL89
ATL46

EPA allowed

BAL44
ATL49

Passing efficiency· weight 8.0

Offense

BAL72
ATL48

EPA allowed

BAL28
ATL65

Drive-sustaining rate· weight 6.6

Offense

BAL72
ATL43

EPA allowed

BAL48
ATL61

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

BAL7
ATL75

defensive rate

BAL32
ATL94

Rushing efficiency

Offense

BAL99
ATL42

EPA allowed

BAL91
ATL23

Completion % Over Expected

Offense

BAL85
ATL19

EPA allowed

BAL21
ATL81

Giveaways per play

Offense

BAL47
ATL76

defensive rate

BAL42
ATL58

20+ yard completions per attempt

Offense

BAL89
ATL36

EPA allowed

BAL7
ATL25

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 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.

  • Recent formBAL

    BAL +4.2 pts/game trend

    Over the last 10 games (exponentially weighted), BAL has been outscoring opponents by 4.2 points per game.

  • VenueATL

    ATL 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.