Mort's Report — Sports Data Analytics
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Week 3 · Sun, 1:00 PM EDT · FOX

Seattle Seahawks at Washington Commanders

Northwest Stadium, Landover, MD

Seattle Seahawks
Seahawks
SEA
14-3 · #1
85%
SEA to win
SEA -12.0 · Strong
Washington Commanders
Commanders
WSH
5-12 · #24

Market line for comparison: SEA -7 · O/U 40.5 (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.

Seattle Seahawks

InputRatingWeightContribution
Elo from results
14-3 in 2025, opponent-adjusted
164380%1314.2
Scoring strength
483–292 points (+191.0 differential) → 76.7% expected win rate
17075%85.4
Late-season form
same replay with the closing 6 weeks counted double
172415%258.6
Offense / defense split
28.4 PPG scored, 17.2 allowed → offense 1635, defense 1646
17810%0.0
Blended 2025 rating1658.2
Offseason regression
25% back toward the 1500 league mean
1618.6
Roster / QB adjustment
No offseason adjustment applied.
0.0
SEA 2026 starting rating1619

Washington Commanders

InputRatingWeightContribution
Elo from results
5-12 in 2025, opponent-adjusted
144880%1158.2
Scoring strength
356–451 points (-95.0 differential) → 36.3% expected win rate
14035%70.1
Late-season form
same replay with the closing 6 weeks counted double
145215%217.8
Offense / defense split
20.9 PPG scored, 26.5 allowed → offense 1448, defense 1412
13600%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
WSH 2026 starting rating1460

The calculation

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

Washington Commanders base rating
1421.5
2026 starting Elo, after offseason regression
Seattle Seahawks base rating
− 1632.2
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−210.7
SEA 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
−117.5
WSH is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−303.3

Win probability

1 / (1 + 10−(-303.3 / 400))

85.1% SEA

Model spread

-303.3 ÷ 25, rounded to the nearest half point

SEA -12.0

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

74.4%

SEA by 7.5

Injury term

−117.5 Elo

−4.7 pts of spread, home perspective

After injuries

85.1%

SEA by 12.0 · moved 10.7 pts of probability

Seattle Seahawks

−0.4 pts

  • Jadarian Price RBOut−0.10
  • Charles Cross OTDoubtful−0.08
  • Velus Jones Jr. RBQuestionable−0.03
  • Rashid Shaheed WRQuestionable−0.03

Washington Commanders

−0.4 pts

  • Jaylin Lane WROut−0.10
  • Terry McLaurin WROut−0.10
  • Javontae Jean-Baptiste LBOut−0.10
  • Marcus Mariota QBQuestionable−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.

1421

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

1632

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

74.4% SEA

Model value

Model spread

SEA -7.5

Elo diff −185.7 · 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.

Seattle Seahawks
Seattle Seahawks
#1 of 32 · 14-3 in 2025
2025 final rating
1642.8
Regress 25% toward 1500
−24.1
2026 starting rating
1618.6

2025 Elo trail

Biggest swings

  • W 31–17 at PIT+45.9
  • W 20–12 at JAX+36.3
  • W 44–13 vs NO+34.4
Washington Commanders
Washington Commanders
#24 of 32 · 5-12 in 2025
2025 final rating
1447.8
Regress 25% toward 1500
+11.8
2026 starting rating
1459.6

2025 Elo trail

Biggest swings

  • W 27–10 at LAC+48.4
  • L 22–44 at DAL−46.9
  • W 24–17 at PHI+46.7

Matchup factors

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

Home field

+25.0 pts

worth 1.7 points of win probability

WSH hosts at Northwest 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 9: SEA won 38–14 (WSH 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.

Seattle Seahawks

1503

average opponent rating · 13th toughest of 32

vs above-average teams
8-2
vs below-average teams
6-1
Washington Commanders

1494

average opponent rating · 23rd toughest of 32

vs above-average teams
2-6
vs below-average teams
3-6

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 →