Mort's Report — Sports Data Analytics
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Week 5 · Sun, 1:00 PM EDT · CBS

Indianapolis Colts at Pittsburgh Steelers

Acrisure Stadium, Pittsburgh, PA

Indianapolis Colts
Colts
IND
8-9 · #26
55%
PIT to win
PIT -1.5 · Lean
Pittsburgh Steelers
Steelers
PIT
10-7 · #11

Market line for comparison: PIT -2.5 · 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.

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

Pittsburgh Steelers

InputRatingWeightContribution
Elo from results
10-7 in 2025, opponent-adjusted
152380%1218.6
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
153515%230.3
Offense / defense split
23.4 PPG scored, 22.8 allowed → offense 1509, defense 1506
15150%0.0
Blended 2025 rating1524.4
Offseason regression
25% back toward the 1500 league mean
1518.3
Roster / QB adjustment
No offseason adjustment applied.
0.0
PIT 2026 starting rating1518

The calculation

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

Pittsburgh Steelers base rating
1504.3
2026 starting Elo, after offseason regression
Indianapolis Colts base rating
− 1486.6
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+17.7
PIT is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+15.0
5 Elo per day of extra rest, capped at 25
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
−20.8
PIT is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+36.9

Win probability

1 / (1 + 10−(36.9 / 400))

55.3% PIT

Model spread

36.9 ÷ 25, rounded to the nearest half point

PIT -1.5

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

58.2%

PIT by 2.5

Injury term

−20.8 Elo

−0.8 pts of spread, home perspective

After injuries

55.3%

PIT by 1.5 · moved 2.9 pts of probability

Indianapolis Colts

−0.6 pts

  • Alec Pierce WROut−0.10
  • Tyler Warren TEOut−0.10
  • Anthony Gould WROut−0.10
  • Bryce Boettcher LBOut−0.10

Pittsburgh Steelers

−0.3 pts

  • Sebastian Joseph-Day DTOut−0.10
  • Ben Skowronek WROut−0.10
  • Brandin Echols CBOut−0.10

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.

1504

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

1487

The two ratings only matter through their difference.

+25 pts

The tuned value is a flat 25 points for every host.

+15 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

58.2% PIT

Model value

Model spread

PIT -2.5

Elo diff +57.7 · Lean

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
Pittsburgh Steelers
Pittsburgh Steelers
#11 of 32 · 10-7 in 2025
2025 final rating
1523.3
Regress 25% toward 1500
−5.0
2026 starting rating
1518.3

2025 Elo trail

Biggest swings

  • L 17–31 vs SEA−45.9
  • L 7–26 vs BUF−42.7
  • L 6–13 at CLE−40.9

Matchup factors

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

Home field

+25.0 pts

worth 3.6 points of win probability

PIT hosts at Acrisure Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

+15.0 pts

worth 2.1 points of win probability

5 Elo points per extra day of rest, capped at 25 either way.

Analyst override

+0.0 pts

No manual adjustment. The number here is pure model output.

2025 head to head

  • Week 9: PIT won 27–20 (PIT 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.

Indianapolis Colts

1516

average opponent rating · 4th toughest of 32

vs above-average teams
3-8
vs below-average teams
5-1
Pittsburgh Steelers

1506

average opponent rating · 10th toughest of 32

vs above-average teams
4-4
vs below-average teams
6-3

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 →