Mort's Report — Sports Data Analytics
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Week 7 · Sun, 1:00 PM EDT · CBS

Cincinnati Bengals at Baltimore Ravens

M&T Bank Stadium, Baltimore, MD

Cincinnati Bengals
Bengals
CIN
6-11 · #18
51%
BAL to win
BAL -0.5 · Coin flip
Baltimore Ravens
Ravens
BAL
8-9 · #10

Market line for comparison: BAL -2.5 · O/U 51.5 (Draft Kings). 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.

Cincinnati Bengals

InputRatingWeightContribution
Elo from results
6-11 in 2025, opponent-adjusted
149480%1195.4
Scoring strength
414–492 points (-78.0 differential) → 39.9% expected win rate
14295%71.4
Late-season form
same replay with the closing 6 weeks counted double
150515%225.7
Offense / defense split
24.4 PPG scored, 28.9 allowed → offense 1534, defense 1352
13850%0.0
Blended 2025 rating1492.5
Offseason regression
25% back toward the 1500 league mean
1494.4
Roster / QB adjustment
No offseason adjustment applied.
0.0
CIN 2026 starting rating1494

Baltimore Ravens

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
152380%1218.8
Scoring strength
424–398 points (+26.0 differential) → 53.7% expected win rate
15265%76.3
Late-season form
same replay with the closing 6 weeks counted double
153315%229.9
Offense / defense split
24.9 PPG scored, 23.4 allowed → offense 1548, defense 1490
15380%0.0
Blended 2025 rating1525.0
Offseason regression
25% back toward the 1500 league mean
1518.7
Roster / QB adjustment
No offseason adjustment applied.
0.0
BAL 2026 starting rating1519

The calculation

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

Baltimore Ravens base rating
1534.1
2026 starting Elo, after offseason regression
Cincinnati Bengals base rating
− 1524.0
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+10.1
BAL is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
−25.0
5 Elo per day of extra rest, capped at 25
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
−0.8
BAL is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+9.4

Win probability

1 / (1 + 10−(9.4 / 400))

51.3% BAL

Model spread

9.4 ÷ 25, rounded to the nearest half point

BAL -0.5

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

51.5%

BAL by 0.5

Injury term

−0.8 Elo

−0.0 pts of spread, home perspective

After injuries

51.4%

BAL by 0.5 · moved 0.1 pts of probability

Cincinnati Bengals

−0.3 pts

  • Tanner Hudson TEOut−0.10
  • Swayze Bozeman LBOut−0.10
  • Kyle Dugger SOut−0.10
  • Erick All Jr. TEQuestionable−0.03

Baltimore Ravens

−0.5 pts

  • Jaylinn Hawkins SOut−0.10
  • T.J. Tampa CBOut−0.10
  • Broderick Washington Jr. DTOut−0.10
  • Tavius Robinson LBOut−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.

1534

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

1524

The two ratings only matter through their difference.

+25 pts

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

−25 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

51.5% BAL

Model value

Model spread

BAL -0.5

Elo diff +10.1 · 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.

Cincinnati Bengals
Cincinnati Bengals
#18 of 32 · 6-11 in 2025
2025 final rating
1494.2
Regress 25% toward 1500
+0.2
2026 starting rating
1494.4

2025 Elo trail

Biggest swings

  • W 32–14 at BAL+67.5
  • W 45–21 at MIA+62.0
  • L 10–48 at MIN−56.5
Baltimore Ravens
Baltimore Ravens
#10 of 32 · 8-9 in 2025
2025 final rating
1523.5
Regress 25% toward 1500
−4.8
2026 starting rating
1518.7

2025 Elo trail

Biggest swings

  • L 14–32 vs CIN−67.5
  • W 30–16 vs CHI+49.8
  • L 10–44 vs HOU−49.0

Matchup factors

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

Home field

+25.0 pts

worth 3.6 points of win probability

BAL hosts at M&T Bank Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

−25.0 pts

worth 3.6 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

  • Week 13: CIN won 32–14 (BAL at home)
  • Week 15: BAL won 24–0 (BAL on the road)

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.

Cincinnati Bengals

1509

average opponent rating · 8th toughest of 32

vs above-average teams
3-7
vs below-average teams
3-4
Baltimore Ravens

1506

average opponent rating · 11th toughest of 32

vs above-average teams
2-6
vs below-average teams
6-3

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 →