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NFL · Week 13 · 2026 Upcoming

Packers at Saints

Sun, 6 Dec 2026 · 18:00 UTC
Green Bay Packers logo
Green Bay
Packers
4-3 · L3
@
New Orleans Saints logo
New Orleans
Saints
2-5 · L5
Green Bay Packers to win 61% win probability · projected 24–20 · Solid

Win Probabilities

From the engine's power ratings, adjusted for home field and rest, then mapped through the margin distribution. Not a blend of the market — this is our own number.

GB 61%
NO 39%
Projected score
24–20
GB at NO
Projected margin
-3.6
home perspective
Projected total
43.9
combined points
Confidence
Solid
published before kickoff

Matchup Facts

Venue and rest come from the schedule feed and feed directly into the model; surface and weather are context we show but don't yet model.

Venue
Caesars Superdome
Roof
Dome
Surface
Sportturf
Rest · GB
11 days
Rest · NO
7 days

Recent Form

Last five completed games this season, most recent first.

Green Bay Packers

L @ DET 17–20
W vs DAL 23–13
W vs CHI 31–7
W @ TB 17–14
L vs ATL 14–35

New Orleans Saints

L vs PIT 10–16
W @ NYG 34–27
L vs MIN 13–23
L vs ATL 24–45
L vs LV 27–35

Season Scoring

Points per game either side of the ball, 2026 season to date.

GB · scored
20.6
per game · 7 played
GB · allowed
20.7
per game
NO · scored
23.1
per game · 7 played
NO · allowed
27.7
per game

How The Model Sees It

Our rating has Green Bay Packers as the stronger side by 114 rating points, which on its own is worth about 4.6 points on the scoreboard (GB 1,520, NO 1,406).

Home field adds 1.4 points to NO — a measured figure from our backtest, not the traditional three, because home advantage in the modern NFL is considerably smaller than it used to be. Rest shifts it a further -0.4 points (GB 11 days, NO 7).

That lands on a projected margin of -3.6, and running that through the historical spread of actual results against projections gives Green Bay Packers at 61%.

No betting line has been posted for this game yet — books typically price about three weeks ahead. Until one appears, this page shows the engine's number with nothing to compare it against, which is exactly the situation the model is most useful in.

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