Mort's Report — Sports Data Analytics
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Week 7 · Sun, 1:00 PM EDT · CBS

Indianapolis Colts at Minnesota Vikings

U.S. Bank Stadium, Minneapolis, MN

Indianapolis Colts
Colts
IND
8-9 · #26
78%
MIN to win
MIN -8.5 · Strong
Minnesota Vikings
Vikings
MIN
9-8 · #9

Market line for comparison: MIN -6.5 · O/U 41.5 (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

Minnesota Vikings

InputRatingWeightContribution
Elo from results
9-8 in 2025, opponent-adjusted
156280%1249.4
Scoring strength
344–333 points (+11.0 differential) → 51.9% expected win rate
15135%75.7
Late-season form
same replay with the closing 6 weeks counted double
161815%242.8
Offense / defense split
20.2 PPG scored, 19.6 allowed → offense 1431, defense 1586
15160%0.0
Blended 2025 rating1567.8
Offseason regression
25% back toward the 1500 league mean
1550.9
Roster / QB adjustment
No offseason adjustment applied.
0.0
MIN 2026 starting rating1551

The calculation

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

Minnesota Vikings base rating
1593.7
2026 starting Elo, after offseason regression
Indianapolis Colts base rating
− 1429.7
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+164.0
MIN is the better-rated side on neutral ground
Home-field advantage
+25.0
Flat 25 points for every host
Rest differential
+25.0
5 Elo per day of extra rest, capped at 25
Analyst override
+0.0
No manual adjustment on this game
Injury adjustment
+2.5
IND is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+216.5

Win probability

1 / (1 + 10−(216.5 / 400))

77.7% MIN

Model spread

216.5 ÷ 25, rounded to the nearest half point

MIN -8.5

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

77.4%

MIN by 8.5

Injury term

+2.5 Elo

+0.1 pts of spread, home perspective

After injuries

77.7%

MIN by 8.5 · moved 0.3 pts of probability

Indianapolis Colts

−0.6 pts

  • Anthony Gould WROut−0.10
  • Sauce Gardner CBOut−0.10
  • Bryce Boettcher LBOut−0.10
  • Alec Pierce WROut−0.10

Minnesota Vikings

−0.1 pts

  • Donovan Jackson GOut−0.10
  • Aaron Jones Sr. RBQuestionable−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.

1594

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

1430

The two ratings only matter through their difference.

+25 pts

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

+25 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

77.4% MIN

Model value

Model spread

MIN -8.5

Elo diff +214.0 · Strong

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
Minnesota Vikings
Minnesota Vikings
#9 of 32 · 9-8 in 2025
2025 final rating
1561.8
Regress 25% toward 1500
−10.9
2026 starting rating
1550.9

2025 Elo trail

Biggest swings

  • W 48–10 vs CIN+56.5
  • L 6–22 vs ATL−48.1
  • L 10–37 at LAC−45.4

Matchup factors

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

Home field

+25.0 pts

worth 2.6 points of win probability

MIN hosts at U.S. Bank Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

+25.0 pts

worth 2.6 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

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
Minnesota Vikings

1501

average opponent rating · 15th toughest of 32

vs above-average teams
1-7
vs below-average teams
8-1

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 →