Mort's Report — Sports Data Analytics
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Week 4 · Sun, 9:30 AM EDT · NFL Net

Indianapolis Colts at Washington Commanders

Neutral site · Tottenham Hotspur Stadium, London

Indianapolis Colts
Colts
IND
8-9 · #26
69%
IND to win
IND -5.5 · Confident
Washington Commanders
Commanders
WSH
5-12 · #24

Market line for comparison: IND -3.5 · O/U 47.5 (Draft Kings). 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.

Indianapolis Colts

InputRatingWeightContribution
Elo from results
8-9 in 2025, opponent-adjusted
143480%1147.0
Scoring strength
466–412 points (+54.0 differential) → 57.3% expected win rate
15515%77.5
Late-season form
same replay with the closing 6 weeks counted double
139215%208.8
Offense / defense split
27.4 PPG scored, 24.2 allowed → offense 1610, defense 1469
15790%0.0
Blended 2025 rating1433.4
Offseason regression
25% back toward the 1500 league mean
1450.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
IND 2026 starting rating1450

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
1451.9
2026 starting Elo, after offseason regression
Indianapolis Colts base rating
− 1443.5
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+8.3
WSH is the better-rated side on neutral ground
Home-field advantage
+0.0
Neutral site (London) — no home-field points applied
Rest differential
+0.0
Both teams open the season equally rested
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
−150.8
WSH is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−142.4

Win probability

1 / (1 + 10−(-142.4 / 400))

69.4% IND

Model spread

-142.4 ÷ 25, rounded to the nearest half point

IND -5.5

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

48.8%

IND by 0.5

Injury term

−150.8 Elo

−6.0 pts of spread, home perspective

After injuries

69.4%

IND by 5.5 · moved 20.6 pts of probability

Indianapolis Colts

−0.6 pts

  • Anthony Gould WROut−0.10
  • Bryce Boettcher LBOut−0.10
  • Alec Pierce WROut−0.10
  • CJ Allen LBOut−0.10

Washington Commanders

−0.4 pts

  • Javontae Jean-Baptiste LBOut−0.10
  • Jaylin Lane WROut−0.10
  • Terry McLaurin WROut−0.10
  • Javon Kinlaw DTQuestionable−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.

1452

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

1444

The two ratings only matter through their difference.

+0 pts

Neutral site, so the model applies 0. The tuned value elsewhere is 25.

+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

51.2% WSH

Model value

Model spread

WSH -0.5

Elo diff +8.3 · Coin flip

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.

Indianapolis Colts
Indianapolis Colts
#26 of 32 · 8-9 in 2025
2025 final rating
1433.8
Regress 25% toward 1500
+16.2
2026 starting rating
1450.0

2025 Elo trail

Biggest swings

  • W 33–8 vs MIA+41.9
  • L 20–27 at PIT−37.5
  • W 40–6 vs LV+34.0
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

Neutral

Played at Tottenham Hotspur Stadium, London. Neither side gets the 25-point host bonus.

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

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.

Indianapolis Colts

1516

average opponent rating · 4th toughest of 32

vs above-average teams
3-8
vs below-average teams
5-1
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 →