Mort's Report — Sports Data Analytics
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Week 6 · Sun, 4:25 PM EDT · CBS

Buffalo Bills at Las Vegas Raiders

Allegiant Stadium, Las Vegas, NV

Buffalo Bills
Bills
BUF
12-5 · #6
62%
BUF to win
BUF -3.5 · Lean
Las Vegas Raiders
Raiders
LV
3-14 · #32

Rating inputs

Each starting rating is a weighted blend of five real football inputs, not just wins and losses. Every term below is measured from the 2025 season.

Buffalo Bills

InputRatingWeightContribution
Elo from results
12-5 in 2025, opponent-adjusted
157780%1261.8
Scoring strength
481–365 points (+116.0 differential) → 65.8% expected win rate
16145%80.7
Late-season form
same replay with the closing 6 weeks counted double
161915%242.8
Offense / defense split
28.3 PPG scored, 21.5 allowed → offense 1632, defense 1539
16710%0.0
Blended 2025 rating1585.4
Offseason regression
25% back toward the 1500 league mean
1564.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
BUF 2026 starting rating1564

Las Vegas Raiders

InputRatingWeightContribution
Elo from results
3-14 in 2025, opponent-adjusted
137480%1099.2
Scoring strength
241–432 points (-191.0 differential) → 20.1% expected win rate
12605%63.0
Late-season form
same replay with the closing 6 weeks counted double
131515%197.2
Offense / defense split
14.2 PPG scored, 25.4 allowed → offense 1279, defense 1440
12190%0.0
Blended 2025 rating1359.4
Offseason regression
25% back toward the 1500 league mean
1394.6
Roster / QB adjustment
No offseason adjustment applied.
0.0
LV 2026 starting rating1395

The calculation

Every term the model applies, in order, from both teams' starting ratings to the number on the card.

Las Vegas Raiders base rating
1469.5
2026 starting Elo, after offseason regression
Buffalo Bills base rating
− 1577.2
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−107.7
BUF is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+5.0
5 Elo per day of extra rest, capped at 25
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
−6.8
LV is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−84.5

Win probability

1 / (1 + 10−(-84.5 / 400))

61.9% BUF

Model spread

-84.5 ÷ 25, rounded to the nearest half point

BUF -3.5

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

Injury adjustment

Report pulled 2026-10-27 13:20 UTC

Ratings describe a team over a whole season. Who is actually available on Sunday is a separate question, so the injury adjustment is applied last, after home field and rest. Each listed player costs a share of a point of spread based on his position, whether he starts, and how likely he is to play.

Before injuries

61.0%

BUF by 3.0

Injury term

−6.8 Elo

−0.3 pts of spread, home perspective

After injuries

61.9%

BUF by 3.5 · moved 0.9 pts of probability

Buffalo Bills

−0.2 pts

  • C.J. Gardner-Johnson SOut−0.10
  • DJ Moore WRQuestionable−0.03
  • Ed Oliver DTQuestionable−0.03

Las Vegas Raiders

−0.3 pts

  • Dont'e Thornton Jr. WROut−0.10
  • Carter Runyon TEOut−0.10
  • Jack Bech WROut−0.10
  • Patrick Johnson DEQuestionable−0.03

Statuses come straight from the league injury report: out and injured reserve count in full, doubtful three quarters, questionable roughly a third, probable a tenth. Starters are identified from the depth chart; anyone the model cannot place is treated as a backup.

Move the factors yourself

Every term feeds one number: the adjusted Elo difference. Drag any of them and watch the spread and confidence follow.

1470

Drag to see how much a stronger or weaker host changes the call.

1577

The two ratings only matter through their difference.

+25 pts

The tuned value is a flat 25 points for every host.

+5 pts

5 Elo per extra day of rest, capped at 25 either way.

+0 pts

A manual thumb on the scale, in the home team's direction.

Win probability

61.0% BUF

Model value

Model spread

BUF -3.0

Elo diff −77.7 · Lean

Probability curve

The logistic curve from −600 to +600 Elo, home perspective. The dot is your current setting; the faint vertical line is where the model itself sits. Notice the curve is flattest at the extremes — near a coin flip, every point of Elo moves the number most.

Where the ratings came from

Each rating is the end state of a full 2025 season of Elo updates, regressed toward the league mean for the new season.

Buffalo Bills
Buffalo Bills
#6 of 32 · 12-5 in 2025
2025 final rating
1577.3
Regress 25% toward 1500
−13.3
2026 starting rating
1564.0

2025 Elo trail

Biggest swings

  • L 13–30 at MIA−57.0
  • W 40–9 at CAR+55.2
  • W 30–10 at NYJ+42.9
Las Vegas Raiders
Las Vegas Raiders
#32 of 32 · 3-14 in 2025
2025 final rating
1374.0
Regress 25% toward 1500
+20.5
2026 starting rating
1394.6

2025 Elo trail

Biggest swings

  • L 10–34 vs NYG−46.7
  • L 16–33 vs DAL−40.6
  • L 10–24 vs CLE−39.5

Matchup factors

Everything beyond the two base ratings that moved this specific number.

Home field

+25.0 pts

worth 3.3 points of win probability

LV hosts at Allegiant Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

+5.0 pts

worth 0.7 points of win probability

5 Elo points per extra day of rest, capped at 25 either way.

Analyst override

+0.0 pts

No manual adjustment. The number here is pure model output.

2025 head to head

These teams did not meet in 2025. Past meetings carry no weight in the model anyway — they are already baked into each team's rating.

Strength of schedule

Who each team actually played in 2025, measured by their opponents' current ratings. This is context for reading the ratings — it is not an input to the prediction above, because beating good teams already raises a team's Elo more.

Buffalo Bills

1492

average opponent rating · 26th toughest of 32

vs above-average teams
4-4
vs below-average teams
8-1
Las Vegas Raiders

1505

average opponent rating · 12th toughest of 32

vs above-average teams
1-8
vs below-average teams
2-6

What the model does not know

  • · How an injury actually plays out — the adjustment above prices availability, not how well a replacement performs.
  • · Coaching and roster turnover between seasons.
  • · Weather, travel distance and short-week fatigue beyond raw rest days.
  • · Anything a betting market has priced in since the season ended.
Read the full methodology →