Mort's Report — Sports Data Analytics
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Week 7 · Sun, 4:05 PM EDT · CBS

Denver Broncos at Arizona Cardinals

State Farm Stadium, Glendale, AZ

Denver Broncos
Broncos
DEN
14-3 · #5
67%
DEN to win
DEN -5.0 · Confident
Arizona Cardinals
Cardinals
ARI
3-14 · #31

Market line for comparison: DEN -4.5 · O/U 43.5 (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.

Denver Broncos

InputRatingWeightContribution
Elo from results
14-3 in 2025, opponent-adjusted
159280%1273.4
Scoring strength
401–311 points (+90.0 differential) → 64.6% expected win rate
16055%80.2
Late-season form
same replay with the closing 6 weeks counted double
163315%244.9
Offense / defense split
23.6 PPG scored, 18.3 allowed → offense 1514, defense 1618
16320%0.0
Blended 2025 rating1598.5
Offseason regression
25% back toward the 1500 league mean
1573.9
Roster / QB adjustment
No offseason adjustment applied.
0.0
DEN 2026 starting rating1574

Arizona Cardinals

InputRatingWeightContribution
Elo from results
3-14 in 2025, opponent-adjusted
137180%1096.8
Scoring strength
355–488 points (-133.0 differential) → 32.0% expected win rate
13695%68.4
Late-season form
same replay with the closing 6 weeks counted double
130815%196.1
Offense / defense split
20.9 PPG scored, 28.7 allowed → offense 1447, defense 1358
13040%0.0
Blended 2025 rating1361.4
Offseason regression
25% back toward the 1500 league mean
1396.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
ARI 2026 starting rating1396

The calculation

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

Arizona Cardinals base rating
1419.6
2026 starting Elo, after offseason regression
Denver Broncos base rating
− 1556.8
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−137.2
DEN 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
+5.0
DEN is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
−122.2

Win probability

1 / (1 + 10−(-122.2 / 400))

66.9% DEN

Model spread

-122.2 ÷ 25, rounded to the nearest half point

DEN -5.0

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

67.5%

DEN by 5.0

Injury term

+5.0 Elo

+0.2 pts of spread, home perspective

After injuries

66.9%

DEN by 5.0 · moved 0.6 pts of probability

Denver Broncos

−0.5 pts

  • Talanoa Hufanga SOut−0.10
  • Pat Surtain II CBOut−0.10
  • Tyler Badie RBOut−0.10
  • Jonah Elliss LBOut−0.10

Arizona Cardinals

−0.9 pts

  • Jon Gaines II GOut−0.10
  • Tip Reiman TEOut−0.10
  • Carson Beck QBOut−0.10
  • Walter Nolen III DTOut−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.

1420

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

1557

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

67.5% DEN

Model value

Model spread

DEN -5.0

Elo diff −127.2 · 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.

Denver Broncos
Denver Broncos
#5 of 32 · 14-3 in 2025
2025 final rating
1591.7
Regress 25% toward 1500
−17.8
2026 starting rating
1573.9

2025 Elo trail

Biggest swings

  • L 20–34 vs JAX−42.5
  • W 28–3 vs CIN+38.2
  • W 44–24 vs DAL+35.0
Arizona Cardinals
Arizona Cardinals
#31 of 32 · 3-14 in 2025
2025 final rating
1371.0
Regress 25% toward 1500
+25.0
2026 starting rating
1396.0

2025 Elo trail

Biggest swings

  • L 22–41 vs SF−43.9
  • W 27–17 at DAL+39.3
  • W 20–13 at NO+31.6

Matchup factors

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

Home field

+25.0 pts

worth 3.1 points of win probability

ARI hosts at State Farm Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.

Rest

−15.0 pts

worth 1.9 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.

Denver Broncos

1471

average opponent rating · 32nd toughest of 32

vs above-average teams
3-2
vs below-average teams
11-1
Arizona Cardinals

1523

average opponent rating · 2nd toughest of 32

vs above-average teams
1-9
vs below-average teams
2-5

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 →