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Week 1 · Sun, 4:25 PM EDT · FOX

Miami Dolphins at Las Vegas Raiders

Allegiant Stadium, Las Vegas, NV

Miami Dolphins logo
Dolphins
MIA
7-10 · #23
61%
MIA to win
MIA -3.0 · Lean
Las Vegas Raiders logo
Raiders
LV
3-14 · #32

Market line for comparison: LV -3.5 · O/U 40.5 (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.

Miami Dolphins

InputRatingWeightContribution
Elo from results
7-10 in 2025, opponent-adjusted
142280%1137.8
Scoring strength
347–424 points (-77.0 differential) → 38.3% expected win rate
14175%70.9
Late-season form
same replay with the closing 6 weeks counted double
136515%204.8
Offense / defense split
20.4 PPG scored, 24.9 allowed → offense 1435, defense 1452
13870%0.0
Blended 2025 rating1413.5
Offseason regression
25% back toward the 1500 league mean
1435.2
Roster / QB adjustment
No offseason adjustment applied.
0.0
MIA 2026 starting rating1435

Las Vegas Raiders

InputRatingWeightContribution
Elo from results
3-14 in 2025, opponent-adjusted
127180%1016.6
Scoring strength
241–432 points (-191.0 differential) → 20.1% expected win rate
12605%63.0
Late-season form
same replay with the closing 6 weeks counted double
120315%180.4
Offense / defense split
14.2 PPG scored, 25.4 allowed → offense 1279, defense 1440
12190%0.0
Blended 2025 rating1260.0
Offseason regression
25% back toward the 1500 league mean
1320.0
Roster / QB adjustment
No offseason adjustment applied.
0.0
LV 2026 starting rating1320

The calculation

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

Las Vegas Raiders base rating
1320.0
2026 starting Elo, after offseason regression
Miami Dolphins base rating
− 1435.2
2026 starting Elo, after offseason regression
Rating edge (home perspective)
−115.2
MIA is the better-rated side on neutral ground
Home-field advantage
+35.0
Flat 35 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
Adjusted Elo difference
−80.2

Win probability

1 / (1 + 10−(-80.2 / 400))

61.3% MIA

Model spread

-80.2 ÷ 25, rounded to the nearest half point

MIA -3.0

Confidence band

Coin flip · under 55%Lean · 55–65%Confident · 65–75%Strong · 75% and up

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.

Miami Dolphins logo
Miami Dolphins
#23 of 32 · 7-10 in 2025
2025 final rating
1422.3
Regress 25% toward 1500
+12.9
2026 starting rating
1435.2

2025 Elo trail

Biggest swings

  • W 3410 at ATL+65.6
  • L 2145 vs CIN62.4
  • W 3013 vs BUF+59.2
Las Vegas Raiders logo
Las Vegas Raiders
#32 of 32 · 3-14 in 2025
2025 final rating
1270.7
Regress 25% toward 1500
+49.2
2026 starting rating
1320.0

2025 Elo trail

Biggest swings

  • L 1034 vs NYG44.2
  • L 1024 vs CLE38.8
  • L 920 vs LAC36.7

Matchup factors

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

Home field

+35.0 pts

worth 4.7 points of win probability

LV hosts at Allegiant Stadium. Every host gets the same flat 35 points — the model does not rate crowds individually.

Rest

+0.0 pts

Week 1: both teams come off the same offseason, 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

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.

Miami Dolphins

1492

average opponent rating · 25th toughest of 32

vs above-average teams
1-6
vs below-average teams
6-4
Las Vegas Raiders

1513

average opponent rating · 9th toughest of 32

vs above-average teams
1-8
vs below-average teams
2-6

What the model does not know

  • · Injuries, suspensions and depth-chart changes.
  • · 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 →