Mort's Report — Sports Data Analytics
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Week 3 · Sun, 1:00 PM EDT · FOX

Carolina Panthers at Cleveland Browns

Huntington Bank Field, Cleveland, OH

Carolina Panthers
Panthers
CAR
8-9 · #23
54%
CLE to win
CLE -1.0 · Coin flip
Cleveland Browns
Browns
CLE
5-12 · #20

Market line for comparison: CAR -2.5 · O/U 42.5 (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.

Carolina Panthers

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
145380%1162.6
Scoring strength
311–380 points (-69.0 differential) → 38.4% expected win rate
14185%70.9
Late-season form
same replay with the closing 6 weeks counted double
142815%214.2
Offense / defense split
18.3 PPG scored, 22.4 allowed → offense 1382, defense 1517
13990%0.0
Blended 2025 rating1447.7
Offseason regression
25% back toward the 1500 league mean
1460.8
Roster / QB adjustment
No offseason adjustment applied.
0.0
CAR 2026 starting rating1461

Cleveland Browns

InputRatingWeightContribution
Elo from results
5-12 in 2025, opponent-adjusted
147780%1181.3
Scoring strength
279–379 points (-100.0 differential) → 32.6% expected win rate
13745%68.7
Late-season form
same replay with the closing 6 weeks counted double
150515%225.8
Offense / defense split
16.4 PPG scored, 22.3 allowed → offense 1335, defense 1518
13530%0.0
Blended 2025 rating1475.8
Offseason regression
25% back toward the 1500 league mean
1481.8
Roster / QB adjustment
No offseason adjustment applied.
0.0
CLE 2026 starting rating1482

The calculation

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

Cleveland Browns base rating
1485.8
2026 starting Elo, after offseason regression
Carolina Panthers base rating
− 1492.5
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−6.7
CAR 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
+8.0
CAR is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+26.3

Win probability

1 / (1 + 10−(26.3 / 400))

53.8% CLE

Model spread

26.3 ÷ 25, rounded to the nearest half point

CLE -1.0

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

52.6%

CLE by 0.5

Injury term

+8.0 Elo

+0.3 pts of spread, home perspective

After injuries

53.8%

CLE by 1.0 · moved 1.1 pts of probability

Carolina Panthers

−0.3 pts

  • Jaelan Phillips LBOut−0.10
  • Taylor Moton OTOut−0.10
  • Akayleb Evans CBQuestionable−0.03
  • Torricelli Simpkins III GQuestionable−0.03

Cleveland Browns

−0.3 pts

  • Mike Hall Jr. DTOut−0.10
  • Teven Jenkins GOut−0.10
  • Tytus Howard OTQuestionable−0.03
  • Myles Harden CBQuestionable−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.

1486

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

1493

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

52.6% CLE

Model value

Model spread

CLE -0.5

Elo diff +18.3 · 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.

Carolina Panthers
Carolina Panthers
#23 of 32 · 8-9 in 2025
2025 final rating
1453.3
Regress 25% toward 1500
+7.5
2026 starting rating
1460.8

2025 Elo trail

Biggest swings

  • W 30–0 vs ATL+55.8
  • L 9–40 vs BUF−55.2
  • L 13–42 at NE−49.9
Cleveland Browns
Cleveland Browns
#20 of 32 · 5-12 in 2025
2025 final rating
1476.6
Regress 25% toward 1500
+5.2
2026 starting rating
1481.8

2025 Elo trail

Biggest swings

  • W 31–6 vs MIA+44.1
  • L 17–41 at BAL−41.1
  • W 13–6 vs PIT+40.9

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

CLE hosts at Huntington Bank Field. 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.

Carolina Panthers

1507

average opponent rating · 9th toughest of 32

vs above-average teams
3-7
vs below-average teams
5-2
Cleveland Browns

1499

average opponent rating · 17th toughest of 32

vs above-average teams
1-8
vs below-average teams
4-4

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 →