Mort's Report — Sports Data Analytics
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Week 5 · Mon, 8:15 PM EDT · ESPN/ABC

Buffalo Bills at Los Angeles Rams

SoFi Stadium, Inglewood, CA

Buffalo Bills
Bills
BUF
12-5 · #6
60%
LAR to win
LAR -3.0 · Lean
Los Angeles Rams
Rams
LAR
12-5 · #7

Market line for comparison: LAR -2.5 · O/U 54.5 (DraftKings). The model never sees this.

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

Los Angeles Rams

InputRatingWeightContribution
Elo from results
12-5 in 2025, opponent-adjusted
156880%1254.8
Scoring strength
518–346 points (+172.0 differential) → 72.2% expected win rate
16665%83.3
Late-season form
same replay with the closing 6 weeks counted double
156815%235.2
Offense / defense split
30.5 PPG scored, 20.4 allowed → offense 1686, defense 1567
17530%0.0
Blended 2025 rating1573.3
Offseason regression
25% back toward the 1500 league mean
1555.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
LAR 2026 starting rating1555

The calculation

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

Los Angeles Rams base rating
1539.9
2026 starting Elo, after offseason regression
Buffalo Bills base rating
− 1566.5
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−26.6
BUF is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+0.0
Both teams open the season equally rested
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
+72.3
BUF is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+70.6

Win probability

1 / (1 + 10−(70.6 / 400))

60.0% LAR

Model spread

70.6 ÷ 25, rounded to the nearest half point

LAR -3.0

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

49.8%

LAR by 0.0

Injury term

+72.3 Elo

+2.9 pts of spread, home perspective

After injuries

60.0%

LAR by 3.0 · moved 10.3 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

Los Angeles Rams

−0.5 pts

  • Terrance Ferguson TEOut−0.10
  • Myles Garrett DEOut−0.10
  • Kobie Turner DEOut−0.10
  • Poona Ford DTOut−0.10

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.

1540

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

1567

The two ratings only matter through their difference.

+25 pts

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

+0 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

50.2% BUF

Model value

Model spread

BUF 0.0

Elo diff −1.6 · Coin flip

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
Los Angeles Rams
Los Angeles Rams
#7 of 32 · 12-5 in 2025
2025 final rating
1568.5
Regress 25% toward 1500
−13.5
2026 starting rating
1555.0

2025 Elo trail

Biggest swings

  • W 35–7 at JAX+43.8
  • W 42–26 at SF+35.5
  • W 33–19 at TEN+35.3

Matchup factors

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

Home field

+25.0 pts

worth 3.5 points of win probability

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

Rest

+0.0 pts

Both teams come in on equal rest, so there is no rest edge to give.

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
Los Angeles Rams

1510

average opponent rating · 6th toughest of 32

vs above-average teams
6-4
vs below-average teams
6-1

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 →