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Week 1 · Sun, 1:00 PM EDT · CBS

Buffalo Bills at Houston Texans

Reliant Stadium, Houston, TX

Buffalo Bills logo
Bills
BUF
12-5 · #7
61%
HOU to win
HOU -3.0 · Lean
Houston Texans logo
Texans
HOU
12-5 · #3

Market line for comparison: BUF -1.5 · O/U 44.5 (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.

Buffalo Bills

InputRatingWeightContribution
Elo from results
12-5 in 2025, opponent-adjusted
163580%1308.2
Scoring strength
481–365 points (+116.0 differential) → 65.8% expected win rate
16145%80.7
Late-season form
same replay with the closing 6 weeks counted double
169815%254.7
Offense / defense split
28.3 PPG scored, 21.5 allowed → offense 1632, defense 1539
16710%0.0
Blended 2025 rating1643.6
Offseason regression
25% back toward the 1500 league mean
1607.7
Roster / QB adjustment
No offseason adjustment applied.
0.0
BUF 2026 starting rating1608

Houston Texans

InputRatingWeightContribution
Elo from results
12-5 in 2025, opponent-adjusted
169580%1356.0
Scoring strength
404–295 points (+109.0 differential) → 67.8% expected win rate
16295%81.5
Late-season form
same replay with the closing 6 weeks counted double
176815%265.2
Offense / defense split
23.8 PPG scored, 17.4 allowed → offense 1519, defense 1642
16600%0.0
Blended 2025 rating1702.7
Offseason regression
25% back toward the 1500 league mean
1652.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
HOU 2026 starting rating1652

The calculation

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

Houston Texans base rating
1652.0
2026 starting Elo, after offseason regression
Buffalo Bills base rating
− 1607.7
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+44.3
HOU 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
+74.3

Win probability

1 / (1 + 10−(74.3 / 400))

60.5% HOU

Model spread

74.3 ÷ 25, rounded to the nearest half point

HOU -3.0

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.

Buffalo Bills logo
Buffalo Bills
#7 of 32 · 12-5 in 2025
2025 final rating
1635.2
Regress 25% toward 1500
−27.5
2026 starting rating
1607.7

2025 Elo trail

Biggest swings

  • L 1330 at MIA77.2
  • W 409 at CAR+59.5
  • W 3010 at NYJ+48.9
Houston Texans logo
Houston Texans
#3 of 32 · 12-5 in 2025
2025 final rating
1695.0
Regress 25% toward 1500
−43.0
2026 starting rating
1652.0

2025 Elo trail

Biggest swings

  • W 4410 at BAL+57.4
  • W 2615 vs SF+41.5
  • W 260 vs TEN+40.3

Matchup factors

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

Home field

+30.0 pts

worth 4.2 points of win probability

HOU hosts at Reliant 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

  • Week 12: HOU won 23–19 (HOU at home)

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.

Buffalo Bills

1481

average opponent rating · 28th toughest of 32

vs above-average teams
3-4
vs below-average teams
9-1
Houston Texans

1513

average opponent rating · 9th toughest of 32

vs above-average teams
5-4
vs below-average teams
7-1

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 →