Philadelphia Flyers vs New Jersey Devils prediction, odds, win probability, and matchup analysis for April 7, 2026
Get the playerWON NHL prediction for the Philadelphia Flyers at New Jersey Devils matchup on April 7, 2026. playerWONโs machine-learning model currently gives the New Jersey Devils a 63.3% win probability.
๐ค Model favours New Jersey Devils
(63.3%)
Compare market odds, fair odds, and value below.
April 7, 2026
Visitor Model vs Market
Philadelphia Flyers
36.7%
Fair American: +172
Fair Decimal: 2.72
Best Market: +108 ยท BetOnline.ag
Market Implied: 48.1%
Edge: -11.4%
EV: -23.7%
Calculate Value โ
Home Model vs Market
New Jersey Devils
63.3%
Fair American: -172
Fair Decimal: 1.58
Best Market: -120 ยท BetUS
Market Implied: 54.5%
Edge: +8.8%
EV: +16.1%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 98 | Points | 87 |
| 0.598 | Points % | 0.530 |
| 250 | Goals For | 230 |
| 243 | Goals Against | 254 |
| 7 | Goal Differential | -24 |
| W3 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 23 | Wins | 21 |
| 50 | Points | 45 |
| 9 | Goal Differential | -3 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-3-0 | Record | 5-4-1 |
| 14 | Points | 11 |
| 36 | Goals For | 31 |
| 25 | Goals Against | 34 |
| 11 | Goal Differential | -3 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 6-4 | Record | 4-6 |
| 29 | Total Goals | 29 |
| 0 | Goal Differential | 0 |
| 2.9 | Goals / Game | 2.9 |
| 29.4 | Shots / Game | 28.3 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Nov 29, 2025 |
|
5 - 3 | 31 - 32 | View |
| Nov 22, 2025 |
|
3 - 6 | 35 - 29 | View |
| Mar 9, 2025 |
|
3 - 1 | 23 - 24 | View |
| Jan 29, 2025 |
|
0 - 5 | 24 - 26 | View |
| Jan 27, 2025 |
|
2 - 4 | 33 - 26 | View |
| Jan 18, 2025 |
|
3 - 1 | 18 - 13 | View |
| Apr 13, 2024 |
|
0 - 1 | 20 - 21 | View |
| Feb 17, 2024 |
|
3 - 6 | 48 - 40 | View |
| Dec 19, 2023 |
|
3 - 2 | 26 - 26 | View |
| Nov 30, 2023 |
|
4 - 3 | 35 - 47 | View |
This matchup prediction is generated using playerWONโs machine-learning model, incorporating team performance, recent form, and home/away effects. View full model performance to compare results across games.