Miami Dolphins at Minnesota Vikings

Sunday Late · Sun, Oct 4, 4:05 PM ETMIA @ MIN
Miami Dolphins

Away

Miami Dolphins

0-3

Minnesota Vikings

Home

Minnesota Vikings

3-0

Model Win Probability

Miami Dolphins · Away

27%

Model
separation
46%

Minnesota Vikings · Home

73%

Signal: Moderate· components agree · 100% feature coverage
Elo component
20% MIA
Efficiency component
37% MIA
Feature coverage
100%
Data cutoff
2026-09-29T03:18:28.737160Z
Model
pt-nfl-ensemble-v0.3

Signal strength describes model agreement and data quality, not certainty or wagering value.

Team Efficiency Comparison

23
10
Offense
26
6
Passing
35
39
Rushing
6
97
Defense
13
97
Pass Rush
17
30
Situational

0–100 league percentile across all 32 teams. Defensive ratings are inverted so a higher number always means a better unit.

Blended Team Metrics

MIAMetricMIN
-0.053EPA / Play-0.110
40.2%Success Rate39.9%
-0.003Dropback EPA-0.107
-0.121Rush EPA-0.121
12.3%Explosive Play Rate11.0%
37.5%3rd Down Conversion34.4%
50.0%Red Zone TD Rate60.7%
0.109Def. EPA / Play Allowed-0.124

Prior-season form is blended with current-season play and its weight decays as the current sample grows. Metrics without enough data are shown as “—”, never as zero.

Game Context

Venue
U.S. Bank Stadium
Kickoff
Sun, Oct 4, 4:05 PM ET
Roof
dome
Surface
sportturf
Away rest
7 days
Home rest
7 days
Site
Minnesota Vikings home game

Player Impact

Malik Willis

QB

2026 Weeks 1, 2, 3

CMP/ATT
49/86
Pass yds
627
Pass TD
1
INT
2
Y/A
7.3
Sacks
9

De'Von Achane

RB

2026 Weeks 1, 2, 3

Carries
34
Rush yds
127
YPC
3.7
Rush TD
0
Targets
12
Rec
7
Rush share
43.6%

Ollie Gordon II

RB

2026 Weeks 2, 3

Carries
20
Rush yds
48
YPC
2.4
Rush TD
1
Targets
3
Rec
3
Rush share
25.6%

Malik Washington

WR

2026 Weeks 1, 2, 3

Targets
23
Rec
12
Rec yds
152
YPR
12.7
Rec TD
0
Target share
27.1%

Greg Dulcich

TE

2026 Weeks 1, 2, 3

Targets
12
Rec
9
Rec yds
90
YPR
10
Rec TD
0
Target share
14.1%

Scoring by Quarter

Sample · 3 games

Away · Miami Dolphins

Q1
7
Q2
12
Q3
10
Q4
7

Home · Minnesota Vikings

Q1
16
Q2
17
Q3
7
Q4
31

Small sample — treat quarter splits as descriptive context, not a trend.

Latest News

Analytical Angles

Passing profile · MIA

passing

Miami Dolphins ranks in the 26th league percentile in blended dropback EPA entering Week 4.

Defense profile · MIA

efficiency

Miami Dolphins ranks in the 6th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Passing profile · MIN

passing

Minnesota Vikings ranks in the 6th league percentile in blended dropback EPA entering Week 4.

Defense profile · MIN

efficiency

Minnesota Vikings ranks in the 97th league percentile in blended defensive EPA allowed; higher percentile means less EPA conceded.

Statistical context only. Picks Terminal publishes matchup analysis, not wagering advice.

Keys to the Game

  • Margin-aware Elo favors Minnesota Vikings at 80.4%.
  • Rolling efficiency favors Minnesota Vikings at 63.1%.
  • The calibrated estimate is 73%; it is a probability, not a certainty.

What Could Flip It

  • The statistical sample includes 3 current-season games for Miami Dolphins and 3 for Minnesota Vikings; prior-season form is still blended in.
  • The components agree, but a single game still has substantial variance.
  • The first official Week 4 practice/game-status report was unavailable at this cutoff; documented quarterback news is listed separately and is not explicitly priced into this statistical model.

Model Analysis

Miami Dolphins at Minnesota Vikings: the v0.3 ensemble places Minnesota Vikings at 73% after a 70% margin-aware Elo and 30% rolling efficiency blend with strictly out-of-fold calibration. The statistical sample includes 3 current-season games for Miami Dolphins and 3 for Minnesota Vikings; prior-season form is still blended in. No odds, moneylines, spreads, public picks or market consensus are model inputs.

Forecast

Model pick: Minnesota Vikings (73%). Signal: Moderate; model agreement and coverage, not wagering value.

Sources & Methodology

Win probability: pt-nfl-ensemble-v0.3 — a deterministic ensemble of a margin-aware Elo component and a regularized efficiency component built from pregame team differentials (EPA per play, dropback and rush EPA, success rate, explosive rate, sack performance, home field and rest). The blended probability is calibrated on training seasons only and validated by walk-forward backtest against completed results. All inputs come from public play-by-play and schedule data. No external market data of any kind is used anywhere on this page.