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NFL · Week 16 · 2026 Upcoming

Commanders at Vikings

Sun, 27 Dec 2026 · 18:00 UTC
Washington Commanders logo
Washington
Commanders
1-4-1 · L4
@
Minnesota Vikings logo
Minnesota
Vikings
6-0 · W6
Minnesota Vikings to win 82% win probability · projected 16–28 · 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.

WAS 18%
MIN 82%
Projected score
16–28
WAS at MIN
Projected margin
+11.7
home perspective
Projected total
43.4
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
U.S. Bank Stadium
Roof
Dome
Surface
Sportturf
Rest · WAS
7 days
Rest · MIN
7 days

Recent Form

Last five completed games this season, most recent first.

Washington Commanders

L @ SF 17–23
T vs NYG 27–27
L vs IND 13–30
W vs SEA 33–31
L @ DAL 20–37

Minnesota Vikings

W vs IND 16–10
W @ NO 23–13
W vs MIA 15–10
W @ TB 23–16
W @ CHI 9–3

Season Scoring

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

WAS · scored
22.0
per game · 6 played
WAS · allowed
28.7
per game
MIN · scored
20.8
per game · 6 played
MIN · allowed
12.3
per game

How The Model Sees It

Our rating has Minnesota Vikings as the stronger side by 258 rating points, which on its own is worth about 10.3 points on the scoreboard (WAS 1,393, MIN 1,652).

Home field adds 1.4 points to MIN — 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 +11.7, and running that through the historical spread of actual results against projections gives Minnesota Vikings at 82%.

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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