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Week 1 · Sun, 1:00 PM EDT · FOX

Tampa Bay Buccaneers at Cincinnati Bengals

Paycor Stadium, Cincinnati, OH

Tampa Bay Buccaneers logo
Buccaneers
TB
8-9 · #22
57%
CIN to win
CIN -2.0 · Lean
Cincinnati Bengals logo
Bengals
CIN
6-11 · #20

Market line for comparison: CIN -3.5 · O/U 51.5 (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.

Tampa Bay Buccaneers

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
143580%1147.9
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
138815%208.3
Offense / defense split
22.4 PPG scored, 24.2 allowed → offense 1484, defense 1471
14540%0.0
Blended 2025 rating1429.6
Offseason regression
25% back toward the 1500 league mean
1447.2
Roster / QB adjustment
No offseason adjustment applied.
0.0
TB 2026 starting rating1447

Cincinnati Bengals

InputRatingWeightContribution
Elo from results
6-11 in 2025, opponent-adjusted
144380%1154.5
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
146815%220.2
Offense / defense split
24.4 PPG scored, 28.9 allowed → offense 1534, defense 1352
13850%0.0
Blended 2025 rating1446.1
Offseason regression
25% back toward the 1500 league mean
1459.6
Roster / QB adjustment
No offseason adjustment applied.
0.0
CIN 2026 starting rating1460

The calculation

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

Cincinnati Bengals base rating
1459.6
2026 starting Elo, after offseason regression
Tampa Bay Buccaneers base rating
− 1447.2
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+12.4
CIN is the better-rated side on neutral ground
Home-field advantage
+35.0
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
+47.4

Win probability

1 / (1 + 10−(47.4 / 400))

56.8% CIN

Model spread

47.4 ÷ 25, rounded to the nearest half point

CIN -2.0

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.

Tampa Bay Buccaneers logo
Tampa Bay Buccaneers
#22 of 32 · 8-9 in 2025
2025 final rating
1434.9
Regress 25% toward 1500
+12.3
2026 starting rating
1447.2

2025 Elo trail

Biggest swings

  • L 2024 vs NO33.8
  • L 924 at DET32.9
  • W 3019 vs SF+29.9
Cincinnati Bengals logo
Cincinnati Bengals
#20 of 32 · 6-11 in 2025
2025 final rating
1443.1
Regress 25% toward 1500
+16.5
2026 starting rating
1459.6

2025 Elo trail

Biggest swings

  • W 3214 at BAL+67.2
  • W 4521 at MIA+62.4
  • L 1048 at MIN51.0

Matchup factors

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

Home field

+35.0 pts

worth 5.0 points of win probability

CIN hosts at Paycor 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.

Tampa Bay Buccaneers

1515

average opponent rating · 6th toughest of 32

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

1511

average opponent rating · 10th toughest of 32

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

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 →