Toronto Maple Leafs vs New York Islanders prediction, odds, win probability, and matchup analysis for April 9, 2026
Get the playerWON NHL prediction for the Toronto Maple Leafs at New York Islanders matchup on April 9, 2026. playerWONโs machine-learning model currently gives the New York Islanders a 60.4% win probability.
๐ค Model favours New York Islanders
(60.4%)
Compare market odds, fair odds, and value below.
April 9, 2026
Visitor Model vs Market
Toronto Maple Leafs
39.6%
Fair American: +153
Fair Decimal: 2.53
Best Market: +220 ยท BetMGM
Market Implied: 31.2%
Edge: +8.4%
EV: +26.7%
Calculate Value โ
Home Model vs Market
New York Islanders
60.4%
Fair American: -153
Fair Decimal: 1.66
Best Market: -255 ยท BetOnline.ag
Market Implied: 71.8%
Edge: -11.4%
EV: -15.9%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 78 | Points | 91 |
| 0.476 | Points % | 0.555 |
| 253 | Goals For | 233 |
| 299 | Goals Against | 241 |
| -46 | Goal Differential | -8 |
| L5 | Current Streak | L3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 14 | Wins | 22 |
| 34 | Points | 46 |
| -36 | Goal Differential | -2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-7-1 | Record | 3-7-0 |
| 5 | Points | 6 |
| 28 | Goals For | 24 |
| 47 | Goals Against | 35 |
| -19 | Goal Differential | -11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 3-7 | Record | 7-3 |
| 27 | Total Goals | 35 |
| -8 | Goal Differential | +8 |
| 2.7 | Goals / Game | 3.5 |
| 31.0 | Shots / Game | 30.7 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 17, 2026 |
|
3 - 1 | 34 - 27 | View |
| Jan 3, 2026 |
|
3 - 4 | 21 - 25 | View |
| Jan 2, 2025 |
|
2 - 1 | 31 - 33 | View |
| Dec 31, 2024 |
|
1 - 3 | 31 - 25 | View |
| Dec 21, 2024 |
|
6 - 3 | 34 - 29 | View |
| Feb 5, 2024 |
|
3 - 2 | 29 - 36 | View |
| Jan 11, 2024 |
|
3 - 4 | 35 - 30 | View |
| Dec 11, 2023 |
|
3 - 4 | 40 - 29 | View |
| Mar 21, 2023 |
|
2 - 7 | 27 - 29 | View |
| Jan 23, 2023 |
|
2 - 5 | 33 - 39 | 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.