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NFL · Week 17 · 2026 Upcoming

Rams at Buccaneers

Sun, 3 Jan 2027 · 18:00 UTC
Los Angeles Rams logo
Los Angeles
Rams
3-4 · W3
@
Tampa Bay Buccaneers logo
Tampa Bay
Buccaneers
2-5 · W2
Los Angeles Rams to win 59% win probability · projected 26–22 · Lean

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.

LAR 59%
TB 41%
Projected score
26–22
LAR at TB
Projected margin
-3.0
home perspective
Projected total
48.0
combined points
Confidence
Lean
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
Raymond James Stadium
Roof
Outdoors
Surface
Grass
Rest · LAR
9 days
Rest · TB
7 days

Recent Form

Last five completed games this season, most recent first.

Los Angeles Rams

W @ LV 35–21
L vs ARI 16–18
L vs BUF 34–37
W @ PHI 24–20
L @ DEN 26–30

Tampa Bay Buccaneers

W @ CAR 43–13
L vs PIT 19–26
W @ DAL 24–16
L vs GB 14–17
L vs MIN 16–23

Season Scoring

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

LAR · scored
24.3
per game · 7 played
LAR · allowed
22.7
per game
TB · scored
23.1
per game · 7 played
TB · allowed
21.6
per game

How The Model Sees It

Our rating has Los Angeles Rams as the stronger side by 106 rating points, which on its own is worth about 4.2 points on the scoreboard (LAR 1,574, TB 1,468).

Home field adds 1.4 points to TB — 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 -0.2 points (LAR 9 days, TB 7).

That lands on a projected margin of -3.0, and running that through the historical spread of actual results against projections gives Los Angeles Rams at 59%.

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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