Ottawa Senators vs New York Islanders prediction, odds, win probability, and matchup analysis for April 11, 2026
Get the playerWON NHL prediction for the Ottawa Senators at New York Islanders matchup on April 11, 2026. playerWONโs machine-learning model currently gives the Ottawa Senators a 53.8% win probability.
๐ค Model favours Ottawa Senators
(53.8%)
Compare market odds, fair odds, and value below.
April 11, 2026
Visitor Model vs Market
Ottawa Senators
53.8%
Fair American: -116
Fair Decimal: 1.86
Best Market: -121 ยท BetRivers
Market Implied: 54.8%
Edge: -1.0%
EV: -1.7%
Calculate Value โ
Home Model vs Market
New York Islanders
46.2%
Fair American: +116
Fair Decimal: 2.16
Best Market: +115 ยท Bovada
Market Implied: 46.5%
Edge: -0.3%
EV: -0.7%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 99 | Points | 91 |
| 0.604 | Points % | 0.555 |
| 278 | Goals For | 233 |
| 246 | Goals Against | 241 |
| 32 | Goal Differential | -8 |
| W1 | Current Streak | L3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 21 | Wins | 22 |
| 47 | Points | 46 |
| 1 | Goal Differential | -2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 6-3-1 | Record | 3-7-0 |
| 13 | Points | 6 |
| 36 | Goals For | 24 |
| 26 | Goals Against | 35 |
| 10 | Goal Differential | -11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 5-5 | Record | 5-5 |
| 27 | Total Goals | 29 |
| -2 | Goal Differential | +2 |
| 2.7 | Goals / Game | 2.9 |
| 32.6 | Shots / Game | 28.5 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 19, 2026 |
|
2 - 3 | 19 - 26 | View |
| Oct 18, 2025 |
|
5 - 4 | 23 - 32 | View |
| Jan 14, 2025 |
|
2 - 0 | 27 - 24 | View |
| Dec 8, 2024 |
|
4 - 2 | 13 - 31 | View |
| Nov 7, 2024 |
|
4 - 2 | 25 - 30 | View |
| Mar 16, 2024 |
|
4 - 3 | 30 - 33 | View |
| Nov 24, 2023 |
|
5 - 3 | 26 - 31 | View |
| Oct 26, 2023 |
|
2 - 3 | 47 - 38 | View |
| Feb 14, 2023 |
|
3 - 2 | 34 - 48 | View |
| Jan 25, 2023 |
|
1 - 2 | 36 - 38 | 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.