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

Tampa Bay Buccaneers at Carolina Panthers

Bank of America Stadium, Charlotte, NC

Tampa Bay Buccaneers
Buccaneers
TB
8-9 · #22
66%
CAR to win
CAR -4.5 · Confident
Carolina Panthers
Panthers
CAR
8-9 · #23

Market line for comparison: CAR -3.5 · O/U 44.5 (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.

Tampa Bay Buccaneers

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
145280%1161.3
Scoring strength
380–411 points (-31.0 differential) → 45.4% expected win rate
14685%73.4
Late-season form
same replay with the closing 6 weeks counted double
142415%213.5
Offense / defense split
22.4 PPG scored, 24.2 allowed → offense 1484, defense 1471
14540%0.0
Blended 2025 rating1448.3
Offseason regression
25% back toward the 1500 league mean
1461.2
Roster / QB adjustment
No offseason adjustment applied.
0.0
TB 2026 starting rating1461

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

The calculation

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

Carolina Panthers base rating
1533.1
2026 starting Elo, after offseason regression
Tampa Bay Buccaneers base rating
− 1439.2
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+93.9
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
−1.8
CAR is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+117.2

Win probability

1 / (1 + 10−(117.2 / 400))

66.3% CAR

Model spread

117.2 ÷ 25, rounded to the nearest half point

CAR -4.5

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

66.5%

CAR by 5.0

Injury term

−1.8 Elo

−0.1 pts of spread, home perspective

After injuries

66.2%

CAR by 4.5 · moved 0.2 pts of probability

Tampa Bay Buccaneers

−0.2 pts

  • Christian Rozeboom LBOut−0.10
  • Emeka Egbuka WRQuestionable−0.03
  • Antoine Winfield Jr. SQuestionable−0.03
  • Luke Goedeke OTQuestionable−0.03

Carolina Panthers

−0.3 pts

  • Jaelan Phillips LBOut−0.10
  • Taylor Moton OTOut−0.10
  • Damien Lewis GQuestionable−0.03
  • Bobby Brown III DTQuestionable−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.

1533

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

1439

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

66.5% CAR

Model value

Model spread

CAR -5.0

Elo diff +118.9 · Confident

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.

Tampa Bay Buccaneers
Tampa Bay Buccaneers
#22 of 32 · 8-9 in 2025
2025 final rating
1451.7
Regress 25% toward 1500
+9.5
2026 starting rating
1461.2

2025 Elo trail

Biggest swings

  • L 9–24 at DET−37.6
  • W 23–3 at NO+34.0
  • W 30–19 vs SF+32.8
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

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

CAR hosts at Bank of America 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

  • Week 16: CAR won 23–20 (CAR at home)
  • Week 18: TB won 16–14 (CAR 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.

Tampa Bay Buccaneers

1511

average opponent rating · 5th toughest of 32

vs above-average teams
5-6
vs below-average teams
3-3
Carolina Panthers

1507

average opponent rating · 9th toughest of 32

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

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 →