Philadelphia Flyers vs New York Islanders prediction, odds, win probability, and matchup analysis for April 3, 2026
Get the playerWON NHL prediction for the Philadelphia Flyers at New York Islanders matchup on April 3, 2026. playerWONโs machine-learning model currently gives the New York Islanders a 55.2% win probability.
๐ค Model favours New York Islanders
(55.2%)
Compare market odds, fair odds, and value below.
April 3, 2026
Visitor Model vs Market
Philadelphia Flyers
44.8%
Fair American: +123
Fair Decimal: 2.23
Best Market: +125 ยท BetMGM
Market Implied: 44.4%
Edge: +0.4%
EV: +0.8%
Calculate Value โ
Home Model vs Market
New York Islanders
55.2%
Fair American: -123
Fair Decimal: 1.81
Best Market: -140 ยท BetUS
Market Implied: 58.3%
Edge: -3.1%
EV: -5.4%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 98 | Points | 91 |
| 0.598 | Points % | 0.555 |
| 250 | Goals For | 233 |
| 243 | Goals Against | 241 |
| 7 | Goal Differential | -8 |
| W3 | Current Streak | L3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 23 | Wins | 22 |
| 50 | Points | 46 |
| 9 | Goal Differential | -2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-3-0 | Record | 3-7-0 |
| 14 | Points | 6 |
| 36 | Goals For | 24 |
| 25 | Goals Against | 35 |
| 11 | Goal Differential | -11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 5-5 | Record | 5-5 |
| 24 | Total Goals | 29 |
| -5 | Goal Differential | +5 |
| 2.4 | Goals / Game | 2.9 |
| 27.7 | Shots / Game | 28.1 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Jan 26, 2026 |
|
4 - 0 | 23 - 21 | View |
| Nov 28, 2025 |
|
4 - 3 | 21 - 31 | View |
| Oct 25, 2025 |
|
3 - 4 | 26 - 26 | View |
| Apr 12, 2025 |
|
3 - 4 | 40 - 22 | View |
| Jan 30, 2025 |
|
3 - 0 | 28 - 23 | View |
| Jan 24, 2025 |
|
1 - 3 | 30 - 27 | View |
| Jan 16, 2025 |
|
5 - 3 | 24 - 29 | View |
| Apr 1, 2024 |
|
4 - 3 | 27 - 34 | View |
| Nov 25, 2023 |
|
1 - 0 | 40 - 25 | View |
| Nov 22, 2023 |
|
2 - 3 | 36 - 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.