Miami Dolphins at New York Jets

Sunday Early · Sun, Oct 25, 1:00 PM ETMIA @ NYJ
Miami Dolphins

Away

Miami Dolphins

0-5

New York Jets

Home

New York Jets

2-4

Model Win Probability

Miami Dolphins · Away

50%

Model
separation
0%

New York Jets · Home

50%

Signal: Unrated· components disagree · 100% feature coverage
Elo component
49% MIA
Efficiency component
56% MIA
Feature coverage
100%
Data cutoff
2026-10-20T20:24:22.518Z
Model
pt-nfl-ensemble-v0.3

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

Team Efficiency Comparison

23
16
Offense
16
13
Passing
48
19
Rushing
6
23
Defense
6
35
Pass Rush
27
2
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

MIAMetricNYJ
-0.065EPA / Play-0.092
40.2%Success Rate41.5%
-0.055Dropback EPA-0.061
-0.089Rush EPA-0.156
12.8%Explosive Play Rate10.2%
39.9%3rd Down Conversion31.9%
45.0%Red Zone TD Rate33.3%
0.101Def. EPA / Play Allowed0.070

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
MetLife Stadium
Kickoff
Sun, Oct 25, 1:00 PM ET
Roof
outdoors
Surface
fieldturf
Away rest
14 days
Home rest
7 days
Site
New York Jets home game

Player Impact

Malik Willis

QB

2026 Weeks 1–6; 5 games

CMP/ATT
73/130
Pass yds
849
Pass TD
2
INT
4
Y/A
6.5
Sacks
14

Ollie Gordon II

RB

2026 Weeks 1–6; 4 games

Carries
47
Rush yds
236
YPC
5
Rush TD
3
Targets
5
Rec
5

De'Von Achane

RB

2026 Weeks 1–6; 3 games; last played Week 3

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

Malik Washington

WR

2026 Weeks 1–6; 5 games

Targets
36
Rec
23
Rec yds
262
YPR
11.4
Rec TD
0

Kevin Coleman Jr.

WR

2026 Weeks 1–6; 4 games

Targets
17
Rec
5
Rec yds
36
YPR
7.2
Rec TD
1

Scoring by Quarter

Sample · 6 games

Away · Miami Dolphins

Q1
14
Q2
12
Q3
23
Q4
21

Home · New York Jets

Q1
17
Q2
20
Q3
33
Q4
42

Latest News

Analytical Angles

Passing profile · MIA

passing

Miami Dolphins: 16/100 league percentile in blended 2025–26 passing EPA entering Week 7.

Passing profile · NYJ

passing

New York Jets: 13/100 league percentile in blended 2025–26 passing EPA entering Week 7.

Defensive profile · MIA / NYJ

efficiency

Defense EPA percentiles: Miami Dolphins 6/100; New York Jets 23/100. Lower EPA allowed rates better.

Availability watch

availability

Availability checked Tuesday, October 20. final designations remain subject to change. The forecast applies no separate injury, trade or lineup adjustment.

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

Keys to the Game

  • Margin-aware Elo: Miami Dolphins 48.9%.
  • Rolling efficiency: Miami Dolphins 55.5%.
  • rushing: Miami Dolphins 48/100, New York Jets 19/100.
  • situational: Miami Dolphins 27/100, New York Jets 2/100.

What Could Flip It

  • passRush: New York Jets 35/100 versus Miami Dolphins 6/100.
  • defense: New York Jets 23/100 versus Miami Dolphins 6/100.
  • Miami Dolphins have 5 completed 2026 games; New York Jets have 6. Prior-season form is blended into efficiency.
  • The model applies no explicit player-availability adjustment.

Model Analysis

Miami Dolphins at New York Jets: the v0.3 ensemble places Miami Dolphins at 50%, using a 70% margin-aware Elo and 30% rolling-efficiency blend with saved strictly out-of-fold calibration. Both sides have 5 and 6 current-season games, respectively, with 2025 prior form. The model applies no explicit player-availability adjustment. This is a pregame statistical estimate, not a certainty or wagering recommendation.

Forecast

Model pick: Miami Dolphins (50%). Signal: Unrated; model agreement and data quality, 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.