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

Houston Texans at Indianapolis Colts

Lucas Oil Stadium, Indianapolis, IN

Houston Texans
Texans
HOU
12-5 · #3
55%
HOU to win
HOU -1.5 · Coin flip
Indianapolis Colts
Colts
IND
8-9 · #26

Market line for comparison: HOU -2.5 · O/U 43.5 (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.

Houston Texans

InputRatingWeightContribution
Elo from results
12-5 in 2025, opponent-adjusted
160880%1286.6
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
166115%249.1
Offense / defense split
23.8 PPG scored, 17.4 allowed → offense 1519, defense 1642
16600%0.0
Blended 2025 rating1617.1
Offseason regression
25% back toward the 1500 league mean
1587.8
Roster / QB adjustment
No offseason adjustment applied.
0.0
HOU 2026 starting rating1588

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

The calculation

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

Indianapolis Colts base rating
1418.6
2026 starting Elo, after offseason regression
Houston Texans base rating
− 1506.1
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−87.5
HOU 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
+30.8
HOU is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−31.7

Win probability

1 / (1 + 10−(-31.7 / 400))

54.5% HOU

Model spread

-31.7 ÷ 25, rounded to the nearest half point

HOU -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

58.9%

HOU by 2.5

Injury term

+30.8 Elo

+1.2 pts of spread, home perspective

After injuries

54.5%

HOU by 1.5 · moved 4.3 pts of probability

Houston Texans

−0.4 pts

  • Jalen Pitre SOut−0.10
  • David Montgomery RBOut−0.10
  • Reed Blankenship SOut−0.10
  • Blake Fisher OTOut−0.10

Indianapolis Colts

−0.6 pts

  • Bryce Boettcher LBOut−0.10
  • Sauce Gardner CBOut−0.10
  • CJ Allen LBOut−0.10
  • Alec Pierce WROut−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.

1419

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

1506

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

58.9% HOU

Model value

Model spread

HOU -2.5

Elo diff −62.5 · 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.

Houston Texans
Houston Texans
#3 of 32 · 12-5 in 2025
2025 final rating
1608.2
Regress 25% toward 1500
−20.4
2026 starting rating
1587.8

2025 Elo trail

Biggest swings

  • W 44–10 at BAL+49.0
  • W 26–0 vs TEN+37.4
  • W 26–15 vs SF+34.7
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

Matchup factors

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

Home field

+25.0 pts

worth 3.5 points of win probability

IND hosts at Lucas Oil 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 13: HOU won 20–16 (IND at home)
  • Week 18: HOU won 38–30 (IND on the road)

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.

Houston Texans

1503

average opponent rating · 14th toughest of 32

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

1516

average opponent rating · 4th toughest of 32

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

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 →