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Week 1 · Sun, 1:00 PM EDT · FOX

Atlanta Falcons at Pittsburgh Steelers

Acrisure Stadium, Pittsburgh, PA

Atlanta Falcons logo
Falcons
ATL
8-9 · #16
57%
PIT to win
PIT -2.0 · Lean
Pittsburgh Steelers logo
Steelers
PIT
10-7 · #13

Market line for comparison: PIT -3 · O/U 42.5 (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.

Atlanta Falcons

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
149680%1196.5
Scoring strength
353–401 points (-48.0 differential) → 42.5% expected win rate
14485%72.4
Late-season form
same replay with the closing 6 weeks counted double
156015%234.0
Offense / defense split
20.8 PPG scored, 23.6 allowed → offense 1444, defense 1486
14290%0.0
Blended 2025 rating1502.8
Offseason regression
25% back toward the 1500 league mean
1502.1
Roster / QB adjustment
No offseason adjustment applied.
0.0
ATL 2026 starting rating1502

Pittsburgh Steelers

InputRatingWeightContribution
Elo from results
10-7 in 2025, opponent-adjusted
153280%1225.2
Scoring strength
397–387 points (+10.0 differential) → 51.5% expected win rate
15115%75.5
Late-season form
same replay with the closing 6 weeks counted double
154515%231.8
Offense / defense split
23.4 PPG scored, 22.8 allowed → offense 1509, defense 1506
15150%0.0
Blended 2025 rating1532.5
Offseason regression
25% back toward the 1500 league mean
1524.4
Roster / QB adjustment
No offseason adjustment applied.
0.0
PIT 2026 starting rating1524

The calculation

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

Pittsburgh Steelers base rating
1524.4
2026 starting Elo, after offseason regression
Atlanta Falcons base rating
− 1502.1
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+22.2
PIT 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
+52.2

Win probability

1 / (1 + 10−(52.2 / 400))

57.5% PIT

Model spread

52.2 ÷ 25, rounded to the nearest half point

PIT -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.

Atlanta Falcons logo
Atlanta Falcons
#16 of 32 · 8-9 in 2025
2025 final rating
1495.6
Regress 25% toward 1500
+6.5
2026 starting rating
1502.1

2025 Elo trail

Biggest swings

  • L 1034 vs MIA83.4
  • L 030 at CAR66.5
  • W 226 at MIN+57.4
Pittsburgh Steelers logo
Pittsburgh Steelers
#13 of 32 · 10-7 in 2025
2025 final rating
1531.5
Regress 25% toward 1500
−7.1
2026 starting rating
1524.4

2025 Elo trail

Biggest swings

  • L 613 at CLE56.0
  • L 1731 vs SEA54.7
  • W 2720 vs IND+47.1

Matchup factors

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

Home field

+30.0 pts

worth 4.3 points of win probability

PIT hosts at Acrisure 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.

Atlanta Falcons

1495

average opponent rating · 18th toughest of 32

vs above-average teams
3-3
vs below-average teams
5-6
Pittsburgh Steelers

1509

average opponent rating · 11th toughest of 32

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

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 →