Montréal Canadiens vs New Jersey Devils prediction, odds, win probability, and matchup analysis for April 4, 2026
Get the playerWON NHL prediction for the Montréal Canadiens at New Jersey Devils matchup on April 4, 2026. playerWON’s machine-learning model currently gives the New Jersey Devils a 51.9% win probability.
🤖 Model favours New Jersey Devils
(51.9%)
Compare market odds, fair odds, and value below.
April 4, 2026
Visitor Model vs Market
Montréal Canadiens
48.1%
Fair American: +108
Fair Decimal: 2.08
Best Market: -120 · BetUS
Market Implied: 54.5%
Edge: -6.4%
EV: -11.8%
Calculate Value →
Home Model vs Market
New Jersey Devils
51.9%
Fair American: -108
Fair Decimal: 1.93
Best Market: +108 · BetOnline.ag
Market Implied: 48.1%
Edge: +3.8%
EV: +8.0%
Calculate Value →
📊 Season Overview
|
|
Metric |
|
|---|---|---|
| 106 | Points | 87 |
| 0.646 | Points % | 0.530 |
| 283 | Goals For | 230 |
| 256 | Goals Against | 254 |
| 27 | Goal Differential | -24 |
| L1 | Current Streak | L1 |
🚍 Road vs 🏠 Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 24 | Wins | 21 |
| 56 | Points | 45 |
| 17 | Goal Differential | -3 |
🔥 Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-3-0 | Record | 5-4-1 |
| 14 | Points | 11 |
| 28 | Goals For | 31 |
| 24 | Goals Against | 34 |
| 4 | Goal Differential | -3 |
🥅 Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 2-8 | Record | 8-2 |
| 24 | Total Goals | 38 |
| -14 | Goal Differential | +14 |
| 2.4 | Goals / Game | 3.8 |
| 25.7 | Shots / Game | 32.5 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Nov 6, 2025 |
|
3 - 4 | 19 - 28 | View |
| Feb 8, 2025 |
|
4 - 0 | 22 - 34 | View |
| Jan 25, 2025 |
|
4 - 3 | 44 - 32 | View |
| Nov 7, 2024 |
|
3 - 5 | 24 - 27 | View |
| Feb 24, 2024 |
|
3 - 4 | 26 - 24 | View |
| Jan 17, 2024 |
|
3 - 2 | 25 - 30 | View |
| Oct 24, 2023 |
|
5 - 2 | 34 - 29 | View |
| Mar 11, 2023 |
|
3 - 1 | 37 - 24 | View |
| Feb 21, 2023 |
|
5 - 2 | 18 - 40 | View |
| Nov 15, 2022 |
|
5 - 1 | 39 - 26 | View |
This matchup prediction is generated using playerWON’s machine-learning model, incorporating team performance, recent form, and home/away effects. View full model performance to compare results across games.