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NFL · Week 10 · 2026 Upcoming Division game

Bills at Jets

Sun, 15 Nov 2026 · 18:00 UTC
Buffalo Bills logo
Buffalo
Bills
5-1 · W5
@
New York Jets logo
New York
Jets
2-5 · L5
Buffalo Bills to win 80% win probability · projected 30–19 · 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.

BUF 80%
NYJ 20%
Projected score
30–19
BUF at NYJ
Projected margin
-11.0
home perspective
Projected total
48.8
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
MetLife Stadium
Roof
Outdoors
Surface
Fieldturf
Rest · BUF
6 days
Rest · NYJ
7 days

Recent Form

Last five completed games this season, most recent first.

Buffalo Bills

W @ LV 33–30
W @ LAR 37–34
L vs NE 26–29
W vs LAC 24–16
W vs DET 41–31

New York Jets

L vs MIA 25–28
L @ NE 19–26
W vs CLE 17–12
L @ CHI 12–23
L @ DET 24–31

Season Scoring

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

BUF · scored
32.8
per game · 6 played
BUF · allowed
28.5
per game
NYJ · scored
19.6
per game · 7 played
NYJ · allowed
21.4
per game

How The Model Sees It

Our rating has Buffalo Bills as the stronger side by 312 rating points, which on its own is worth about 12.5 points on the scoreboard (BUF 1,662, NYJ 1,350).

Home field adds 1.4 points to NYJ — 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 +0.1 points (BUF 6 days, NYJ 7).

That lands on a projected margin of -11.0, and running that through the historical spread of actual results against projections gives Buffalo Bills at 80%.

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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