Carolina Hurricanes vs New York Islanders prediction, odds, win probability, and matchup analysis for April 14, 2026
Get the playerWON NHL prediction for the Carolina Hurricanes at New York Islanders matchup on April 14, 2026. playerWONโs machine-learning model currently gives the Carolina Hurricanes a 56.2% win probability.
๐ค Model favours Carolina Hurricanes
(56.2%)
Compare market odds, fair odds, and value below.
April 14, 2026
Visitor Model vs Market
Carolina Hurricanes
56.2%
Fair American: -128
Fair Decimal: 1.78
Best Market: +122 ยท FanDuel
Market Implied: 45.0%
Edge: +11.2%
EV: +24.8%
Calculate Value โ
Home Model vs Market
New York Islanders
43.8%
Fair American: +128
Fair Decimal: 2.28
Best Market: -133 ยท Bovada
Market Implied: 57.1%
Edge: -13.3%
EV: -23.3%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 113 | Points | 91 |
| 0.689 | Points % | 0.555 |
| 296 | Goals For | 233 |
| 240 | Goals Against | 241 |
| 56 | Goal Differential | -8 |
| W1 | Current Streak | L3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 24 | Wins | 22 |
| 53 | Points | 46 |
| 21 | Goal Differential | -2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-2-1 | Record | 3-7-0 |
| 15 | Points | 6 |
| 39 | Goals For | 24 |
| 27 | Goals Against | 35 |
| 12 | Goal Differential | -11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 6-4 | Record | 4-6 |
| 41 | Total Goals | 30 |
| +11 | Goal Differential | -11 |
| 4.1 | Goals / Game | 3.0 |
| 35.4 | Shots / Game | 25.9 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 4, 2026 |
|
3 - 4 | 16 - 40 | View |
| Oct 30, 2025 |
|
2 - 6 | 28 - 34 | View |
| Mar 30, 2025 |
|
4 - 6 | 31 - 30 | View |
| Jan 25, 2025 |
|
2 - 3 | 27 - 27 | View |
| Dec 17, 2024 |
|
0 - 4 | 32 - 29 | View |
| Dec 7, 2024 |
|
3 - 4 | 31 - 25 | View |
| Mar 19, 2024 |
|
4 - 1 | 34 - 31 | View |
| Dec 23, 2023 |
|
5 - 4 | 28 - 40 | View |
| Nov 30, 2023 |
|
5 - 4 | 16 - 43 | View |
| Nov 4, 2023 |
|
4 - 3 | 46 - 25 | 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.