Carolina Hurricanes vs Ottawa Senators prediction, odds, win probability, and matchup analysis for April 5, 2026
Get the playerWON NHL prediction for the Carolina Hurricanes at Ottawa Senators matchup on April 5, 2026. playerWONโs machine-learning model currently gives the Carolina Hurricanes a 61.3% win probability.
๐ค Model favours Carolina Hurricanes
(61.3%)
Compare market odds, fair odds, and value below.
April 5, 2026
Visitor Model vs Market
Carolina Hurricanes
61.3%
Fair American: -158
Fair Decimal: 1.63
Best Market: -120 ยท BetUS
Market Implied: 54.5%
Edge: +6.8%
EV: +12.4%
Calculate Value โ
Home Model vs Market
Ottawa Senators
38.7%
Fair American: +158
Fair Decimal: 2.58
Best Market: +108 ยท BetOnline.ag
Market Implied: 48.1%
Edge: -9.4%
EV: -19.5%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 113 | Points | 99 |
| 0.689 | Points % | 0.604 |
| 296 | Goals For | 278 |
| 240 | Goals Against | 246 |
| 56 | Goal Differential | 32 |
| W1 | Current Streak | W1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 24 | Wins | 23 |
| 53 | Points | 52 |
| 21 | Goal Differential | 31 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-2-1 | Record | 6-3-1 |
| 15 | Points | 13 |
| 39 | Goals For | 36 |
| 27 | Goals Against | 26 |
| 12 | Goal Differential | 10 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 7-3 | Record | 3-7 |
| 38 | Total Goals | 25 |
| +13 | Goal Differential | -13 |
| 3.8 | Goals / Game | 2.5 |
| 30.4 | Shots / Game | 29.3 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Feb 3, 2026 |
|
3 - 4 | 25 - 18 | View |
| Jan 24, 2026 |
|
4 - 1 | 19 - 36 | View |
| Apr 17, 2025 |
|
5 - 7 | 33 - 32 | View |
| Dec 13, 2024 |
|
3 - 0 | 22 - 32 | View |
| Nov 16, 2024 |
|
0 - 4 | 24 - 28 | View |
| Mar 17, 2024 |
|
7 - 2 | 38 - 32 | View |
| Dec 12, 2023 |
|
4 - 1 | 28 - 32 | View |
| Oct 11, 2023 |
|
3 - 5 | 30 - 42 | View |
| Apr 10, 2023 |
|
2 - 3 | 29 - 32 | View |
| Apr 4, 2023 |
|
2 - 3 | 28 - 37 | 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.