Mort's Report — Sports Data Analytics
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Week 8 · Sun, 4:25 PM EST · CBS

Kansas City Chiefs at Denver Broncos

Empower Field at Mile High, Denver, CO

Kansas City Chiefs
Chiefs
KC
6-11 · #29
61%
DEN to win
DEN -3.0 · Lean
Denver Broncos
Broncos
DEN
14-3 · #5

Market line for comparison: KC -1.5 · O/U 41.5 (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.

Kansas City Chiefs

InputRatingWeightContribution
Elo from results
6-11 in 2025, opponent-adjusted
141680%1132.7
Scoring strength
362–328 points (+34.0 differential) → 55.8% expected win rate
15415%77.0
Late-season form
same replay with the closing 6 weeks counted double
133115%199.6
Offense / defense split
21.3 PPG scored, 19.3 allowed → offense 1457, defense 1593
15500%0.0
Blended 2025 rating1409.3
Offseason regression
25% back toward the 1500 league mean
1432.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
KC 2026 starting rating1432

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

The calculation

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

Denver Broncos base rating
1573.5
2026 starting Elo, after offseason regression
Kansas City Chiefs base rating
− 1516.7
2026 starting Elo, after offseason regression
Rating edge (home perspective)
+56.7
DEN 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
−5.0
DEN is the more banged-up side — see the injury breakdown below
Adjusted Elo difference
+76.7

Win probability

1 / (1 + 10−(76.7 / 400))

60.9% DEN

Model spread

76.7 ÷ 25, rounded to the nearest half point

DEN -3.0

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

61.6%

DEN by 3.5

Injury term

−5.0 Elo

−0.2 pts of spread, home perspective

After injuries

60.9%

DEN by 3.0 · moved 0.7 pts of probability

Kansas City Chiefs

−0.3 pts

  • Josh Simmons OTOut−0.10
  • Brashard Smith RBOut−0.10
  • Rashee Rice WRQuestionable−0.03
  • Jaylon Moore OTQuestionable−0.03

Denver Broncos

−0.5 pts

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

1573

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

1517

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

61.6% DEN

Model value

Model spread

DEN -3.5

Elo diff +81.7 · 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.

Kansas City Chiefs
Kansas City Chiefs
#29 of 32 · 6-11 in 2025
2025 final rating
1415.8
Regress 25% toward 1500
+16.2
2026 starting rating
1432.0

2025 Elo trail

Biggest swings

  • L 9–26 at TEN−47.8
  • W 30–17 vs DET+42.5
  • W 22–9 at NYG+39.4
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

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

DEN hosts at Empower Field at Mile High. 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 11: DEN won 22–19 (DEN at home)
  • Week 17: DEN won 20–13 (DEN 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.

Kansas City Chiefs

1500

average opponent rating · 16th toughest of 32

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

1471

average opponent rating · 32nd toughest of 32

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

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 →