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NYI @ MIN NHL prediction: AI analysis & picks

NHL · Xcel Energy Center
NYINYI
New York Islanders
Away
★Follow
5W - 4L
VS
10/30/2026
Start 00:00
--d --h --m
MINMIN
Minnesota Wild
Home
★Follow
6W - 4L
Analysis published before puck drop Timestamped odds (CLV) Transparent methodology
GOALIES
Ilya Sorokin
Confirmed
SV%0.915
GSAx/G+0.56
Jesper Wallstedt
Confirmed
SV%0.916
GSAx/G+0.67
Moneyline
NYINYI
3.20 31% impl.
Moneyline
MINMIN
1.78 56% impl.
Total 6.5 O 2.02 / U 1.84
Pinnacle Odds - Updated in real time

Our picks for this match

AI Trend Minnesota Wild
Model confidence74 %
Odds
1.78
Market
Winner (Moneyline)
Taken on 29/10 · 10:31 at odds of 1.78
Official pick UNDER 5.5
Model confidence68 %
Odds
2.00
Market
Total Goals (O/U)
Taken on 29/10 · 10:31 at odds of 2.00

Our Expert Analysis

PRO
Confidence
68%
xGF (10g)2.92 vs 4.56away vs home
Corsi%49.2 vs 54.9possession (%)
Projected total4.9goals (line 6.5)
Model probability70%vs 56% implied
View full analysis
Our picks
Moneyline: Minnesota Wild @ 1.540 — AI TREND
Total: UNDER 5.5 @ 2.000 — OFFICIAL PICK

CONFIRMED GOALIES

● Minnesota Wild: Jesper Wallstedt (probable starter) — .915 save percentage, 2.19 goals-against average (GAA), GSAx (goals saved above expected) +0.69 over his last 10 starts
● New York Islanders: Ilya Sorokin (probable starter) — .911 save percentage, 2.13 GAA, GSAx +0.58 over his last 10 starts

GAME CONTEXT

Minnesota Wild are 9-3-2 through 14 games (20 standings points), with the 2 losses coming in overtime or the shootout. Their last game was on October 27, 2026, giving them 1 day of rest. New York Islanders are 6-4-2 through 12 games (14 standings points), with the 2 losses coming in overtime or the shootout. Their last game was also on October 27, 2026, and they also have 1 day of rest.

KEY ABSENCES

● Minnesota Wild: Jared Spurgeon (D), questionable; Brock Faber (D), long-term injured reserve (LTIR); Filip Gustavsson (G), LTIR; Marcus Foligno (LW), LTIR; Nick Foligno (LW), LTIR.
● New York Islanders: Alexander Romanov (D), Calum Ritchie (C), Mathew Barzal (C) and Matias Maccelli (LW), all on LTIR.

GAME SCRIPT

Both goalies are probable starters, and their 10-start numbers are close: a .915 save percentage for Wallstedt, .911 for Sorokin. At 5-on-5, Minnesota holds a slight edge with 53.5% of shot attempts against 51.1% for New York. Minnesota generates 4.14 expected goals per game, compared with 2.98 for the Islanders, and allows 2.98 compared with 3.31. The Islanders are playing without Barzal, Ritchie and Maccelli, three forwards from their roster.

OUR ANALYSIS

MONEYLINE: Our lean is Minnesota Wild @ 1.540. Our model gives Minnesota a 70.8% chance, while the odds imply 64.9%. The numbers point that way: more expected goals, a higher share of shots and an Islanders lineup missing part of its offense. With the goalies so close, 5-on-5 play is what tips the balance.

TOTALS: We are taking UNDER 5.5 @ 2.000. Our model projects 4.90 goals, which is 0.60 goals below the line; the under loses at 6 goals. Actual goals over the last 10 games point the same way: 3.00 for Minnesota and 2.90 for New York. Goals allowed are at 2.60 for Minnesota and 2.20 for New York. The line has stayed at 5.5 since opening.

Devil's advocate

Minnesota creates 4.14 expected goals per game: if that output turns into actual goals, the 5.5 line could go over. We accept that risk, because Minnesota's actual goals are at 3.00 per game over the same stretch, well below that volume.

ProbWin verdict

We are taking UNDER 5.5 @ 2.000: it is our official pick. On the moneyline, our lean is Minnesota Wild @ 1.540.

Key Factors

xGF (10g)
2.92vs4.56
xGA (10g)
3.43vs2.75
Corsi%
49.2%vs54.9%
PP% / PK%
27/86vs26/77
Rest
1dvs1d
TeamxGF (10g)xGA (10g)Corsi%PP%PK%
NYI 2.92 3.43 49.2% 27.3% 85.7%
MIN 4.56 2.75 54.9% 26.1% 76.9%
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Head-to-Head

3NYI
MIN2
01/10/26NYI — MIN4 – 3
11/07/25MIN — NYI5 – 2
04/04/25MIN — NYI1 – 3
04/04/25MIN — NYI1 – 3
02/08/25NYI — MIN3 – 6

Form & Stats

Team Comparison

8 of 31 model features (last 5-10 games)

NYI STAT MIN
3.10
Buts/Match ? Buts marqués par match en moyenne
3.20
2.60
Buts encaissés ? Buts concédés par match (défense)
2.50
2.92
xG For ? Expected Goals - Buts attendus selon la qualité des tirs
4.56
27.3%
PP% ? Power Play % - Efficacité en supériorité numérique (buts/opportunités)
26.1%
85.7%
PK% ? Penalty Kill % - Efficacité en infériorité numérique (1 - buts encaissés/opportunités)
76.9%
90.3%
Save% ? Pourcentage d'arrêts du gardien
90.0%
49.2%
CF% ? Corsi For % - Domination des tirs (tentatives pour vs contre)
54.9%
12.0%
Sh% ? Shooting % - Pourcentage de conversion des tirs en buts
9.8%

Frequently asked questions

When was NYI @ MIN played?

This NHL game was played on 2026-10-29.

Where can I find the prediction for NYI @ MIN?

This ProbWin page shows the predictions our model published before the game (moneyline and totals), the key stats for both sides, and the settled result — every prediction is kept, win or lose, in our public track record.

How are these predictions calculated?

Our NHL statistical models are trained on league history and recomputed daily from team and player stats plus market odds. Every prediction is published before the game and its result is settled publicly.

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