New Orleans Saints at New York Giants

Sunday Early · Sun, Oct 18, 1:00 PM ETNO @ NYG
New Orleans Saints

Away

New Orleans Saints

1-4

New York Giants

Home

New York Giants

3-1-1

Model Win Probability

New Orleans Saints · Away

42%

Model
separation
16%

New York Giants · Home

58%

Signal: Lean· components agree · 100% feature coverage
Elo component
39% NO
Efficiency component
48% NO
Feature coverage
100%
Data cutoff
2026-10-13T21:52:00.462286Z
Model
pt-nfl-ensemble-v0.3

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

Team Efficiency Comparison

19
55
Offense
19
58
Passing
16
45
Rushing
45
16
Defense
71
35
Pass Rush
53
54
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

NOMetricNYG
-0.072EPA / Play0.016
42.4%Success Rate42.6%
-0.024Dropback EPA0.096
-0.159Rush EPA-0.109
9.7%Explosive Play Rate11.2%
43.1%3rd Down Conversion43.7%
56.7%Red Zone TD Rate56.5%
0.010Def. EPA / Play Allowed0.080

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 18, 1:00 PM ET
Roof
outdoors
Surface
fieldturf
Away rest
7 days
Home rest
7 days
Site
New York Giants home game

Player Impact

Tyler Shough

QB

2026 Weeks 1–5; 5 games

CMP/ATT
137/205
Pass yds
1299
Pass TD
9
INT
5
Y/A
6.3
Sacks
13

Travis Etienne

RB

2026 Weeks 1–5; 3 games

Carries
30
Rush yds
128
YPC
4.3
Rush TD
0
Targets
13
Rec
11

Kendre Miller

RB

2026 Weeks 1–5; 4 games

Carries
29
Rush yds
83
YPC
2.9
Rush TD
2
Targets
6
Rec
4

Chris Olave

WR

2026 Weeks 1–5; 5 games

Targets
54
Rec
39
Rec yds
537
YPR
13.8
Rec TD
1

Devaughn Vele

WR

2026 Weeks 1–5; 5 games

Targets
37
Rec
25
Rec yds
252
YPR
10.1
Rec TD
2

Scoring by Quarter

Sample · 5 games

Away · New Orleans Saints

Q1
6
Q2
27
Q3
40
Q4
39

Home · New York Giants

Q1
16
Q2
32
Q3
31
Q4
30

Latest News

Analytical Angles

Passing profile · NO

passing

New Orleans Saints rank in the 19th league percentile for blended 2025–26 passing EPA entering Week 6.

Passing profile · NYG

passing

New York Giants rank in the 58th league percentile for blended 2025–26 passing EPA entering Week 6.

Defense profile · NO

efficiency

New Orleans Saints rank in the 45th league percentile for blended 2025–26 defensive EPA allowed entering Week 6.

Defense profile · NYG

efficiency

New York Giants rank in the 16th league percentile for blended 2025–26 defensive EPA allowed entering Week 6.

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

Keys to the Game

  • Margin-aware Elo: New Orleans Saints 38.7%.
  • Rolling efficiency: New Orleans Saints 48.0%.
  • The blended, calibrated estimate favors New York Giants at 58%; a single game remains uncertain.

What Could Flip It

  • The statistical sample includes 5 current-season games for New Orleans Saints and 5 for New York Giants; prior-season form is blended in.
  • Model components agree; one game has substantial variance.
  • Official Week 6 practice reports and final game designations are pending as of Tuesday.

Model Analysis

New Orleans Saints at New York Giants: the v0.3 ensemble places New York Giants at 58%, using a 70% margin-aware Elo and 30% rolling-efficiency blend with the saved strictly out-of-fold calibration. The statistical sample includes 5 current-season games for New Orleans Saints and 5 for New York Giants; prior-season form is blended in. Official Week 6 practice reports and final game designations are pending as of Tuesday. This is a pregame statistical estimate, not a certainty or wagering recommendation.

Forecast

Model pick: New York Giants (58%). Signal: Lean; 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.