← Back to the Week 1 slate

Week 1 · Sun, 1:00 PM EDT · FOX

Chicago Bears at Carolina Panthers

Bank of America Stadium, Charlotte, NC

Chicago Bears logo
Bears
CHI
11-6 · #10
60%
CHI to win
CHI -2.5 · Lean
Carolina Panthers logo
Panthers
CAR
8-9 · #22

Market line for comparison: CHI -2.5 · O/U 47.5 (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.

Chicago Bears

InputRatingWeightContribution
Elo from results
11-6 in 2025, opponent-adjusted
155880%1246.2
Scoring strength
441–415 points (+26.0 differential) → 53.6% expected win rate
15255%76.3
Late-season form
same replay with the closing 6 weeks counted double
154815%232.2
Offense / defense split
25.9 PPG scored, 24.4 allowed → offense 1573, defense 1465
15380%0.0
Blended 2025 rating1554.7
Offseason regression
25% back toward the 1500 league mean
1541.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
CHI 2026 starting rating1541

Carolina Panthers

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
142880%1142.1
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
140615%210.8
Offense / defense split
18.3 PPG scored, 22.4 allowed → offense 1382, defense 1517
13990%0.0
Blended 2025 rating1423.8
Offseason regression
25% back toward the 1500 league mean
1442.9
Roster / QB adjustment
No offseason adjustment applied.
0.0
CAR 2026 starting rating1443

The calculation

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

Carolina Panthers base rating
1442.9
2026 starting Elo, after offseason regression
Chicago Bears base rating
− 1541.0
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−98.2
CHI is the better-rated side on neutral ground
Home-field advantage
+30.0
Flat 35 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
Adjusted Elo difference
−68.2

Win probability

1 / (1 + 10−(-68.2 / 400))

59.7% CHI

Model spread

-68.2 ÷ 25, rounded to the nearest half point

CHI -2.5

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

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.

Chicago Bears logo
Chicago Bears
#10 of 32 · 11-6 in 2025
2025 final rating
1557.8
Regress 25% toward 1500
−16.8
2026 starting rating
1541.0

2025 Elo trail

Biggest swings

  • L 1630 at BAL62.2
  • W 3114 vs DAL+52.8
  • L 2152 at DET52.6
Carolina Panthers logo
Carolina Panthers
#22 of 32 · 8-9 in 2025
2025 final rating
1427.7
Regress 25% toward 1500
+15.2
2026 starting rating
1442.9

2025 Elo trail

Biggest swings

  • W 300 vs ATL+66.5
  • L 717 vs NO61.3
  • L 940 vs BUF59.5

Matchup factors

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

Home field

+30.0 pts

worth 4.1 points of win probability

CAR hosts at Bank of America Stadium. Every host gets the same flat 35 points — the model does not rate crowds individually.

Rest

+0.0 pts

Week 1: both teams come off the same offseason, 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.

Chicago Bears

1485

average opponent rating · 26th toughest of 32

vs above-average teams
3-5
vs below-average teams
8-1
Carolina Panthers

1509

average opponent rating · 12th toughest of 32

vs above-average teams
3-5
vs below-average teams
5-4

What the model does not know

  • · Injuries, suspensions and depth-chart changes.
  • · 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 →