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NFL · Week 15 · 2026 Upcoming

Seahawks at Eagles

Sat, 19 Dec 2026 · 22:00 UTC
Seattle Seahawks logo
Seattle
Seahawks
4-3 · W4
@
Philadelphia Eagles logo
Philadelphia
Eagles
2-5 · L5
Seattle Seahawks to win 76% win probability · projected 26–17 · Strong

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.

SEA 76%
PHI 24%
Projected score
26–17
SEA at PHI
Projected margin
-9.3
home perspective
Projected total
42.4
combined points
Confidence
Strong
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
Lincoln Financial Field
Roof
Outdoors
Surface
Grass
Rest · SEA
6 days
Rest · PHI
6 days

Recent Form

Last five completed games this season, most recent first.

Seattle Seahawks

W vs KC 20–3
L @ DEN 14–17
L vs SF 29–32
W vs LAC 30–23
L @ WAS 31–33

Philadelphia Eagles

L vs DAL 21–38
L vs CAR 14–25
L @ JAX 17–19
L vs LAR 20–24
L @ CHI 7–27

Season Scoring

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

SEA · scored
24.0
per game · 7 played
SEA · allowed
17.9
per game
PHI · scored
18.1
per game · 7 played
PHI · allowed
25.0
per game

How The Model Sees It

Our rating has Seattle Seahawks as the stronger side by 267 rating points, which on its own is worth about 10.7 points on the scoreboard (SEA 1,683, PHI 1,417).

Home field adds 1.4 points to PHI — 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.

That lands on a projected margin of -9.3, and running that through the historical spread of actual results against projections gives Seattle Seahawks at 76%.

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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