Mort's Report — Sports Data Analytics
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Week 6 · Sun, 1:00 PM EDT · CBS

Carolina Panthers at Philadelphia Eagles

Lincoln Financial Field, Philadelphia, PA

Carolina Panthers
Panthers
CAR
8-9 · #23
57%
CAR to win
CAR -2.0 · Lean
Philadelphia Eagles
Eagles
PHI
11-6 · #16

Market line for comparison: PHI -1.5 · O/U 41.5 (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

Philadelphia Eagles

InputRatingWeightContribution
Elo from results
11-6 in 2025, opponent-adjusted
150280%1201.7
Scoring strength
379–325 points (+54.0 differential) → 59.0% expected win rate
15635%78.2
Late-season form
same replay with the closing 6 weeks counted double
147315%220.9
Offense / defense split
22.3 PPG scored, 19.1 allowed → offense 1482, defense 1597
15790%0.0
Blended 2025 rating1500.8
Offseason regression
25% back toward the 1500 league mean
1500.6
Roster / QB adjustment
No offseason adjustment applied.
0.0
PHI 2026 starting rating1501

The calculation

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

Philadelphia Eagles base rating
1463.8
2026 starting Elo, after offseason regression
Carolina Panthers base rating
− 1503.7
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−39.8
CAR 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
−6.5
PHI is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−46.3

Win probability

1 / (1 + 10−(-46.3 / 400))

56.6% CAR

Model spread

-46.3 ÷ 25, rounded to the nearest half point

CAR -2.0

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

55.7%

CAR by 1.5

Injury term

−6.5 Elo

−0.3 pts of spread, home perspective

After injuries

56.6%

CAR by 2.0 · moved 0.9 pts of probability

Carolina Panthers

−0.3 pts

  • Jaelan Phillips LBOut−0.10
  • Taylor Moton OTOut−0.10
  • Jalen Coker WRQuestionable−0.03
  • Damien Lewis GQuestionable−0.03

Philadelphia Eagles

−0.9 pts

  • Jakorian Bennett CBOut−0.10
  • Lane Johnson OTOut−0.10
  • Dontayvion Wicks WROut−0.10
  • DeVonta Smith WROut−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.

1464

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

1504

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

55.7% CAR

Model value

Model spread

CAR -1.5

Elo diff −39.8 · 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.

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
Philadelphia Eagles
Philadelphia Eagles
#16 of 32 · 11-6 in 2025
2025 final rating
1502.2
Regress 25% toward 1500
−1.5
2026 starting rating
1500.6

2025 Elo trail

Biggest swings

  • L 17–34 at NYG−52.9
  • L 17–24 vs WSH−46.7
  • L 15–24 vs CHI−35.6

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

PHI hosts at Lincoln Financial Field. 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

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
Philadelphia Eagles

1489

average opponent rating · 28th toughest of 32

vs above-average teams
3-3
vs below-average teams
8-3

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 →