Carolina Hurricanes vs Philadelphia Flyers prediction, odds, win probability, and matchup analysis for April 13, 2026
Get the playerWON NHL prediction for the Carolina Hurricanes at Philadelphia Flyers matchup on April 13, 2026. playerWONโs machine-learning model currently gives the Carolina Hurricanes a 57.2% win probability.
๐ค Model favours Carolina Hurricanes
(57.2%)
Compare market odds, fair odds, and value below.
April 13, 2026
Visitor Model vs Market
Carolina Hurricanes
57.2%
Fair American: -134
Fair Decimal: 1.75
Best Market: +104 ยท BetOnline.ag
Market Implied: 49.0%
Edge: +8.2%
EV: +16.7%
Calculate Value โ
Home Model vs Market
Philadelphia Flyers
42.8%
Fair American: +134
Fair Decimal: 2.34
Best Market: -112 ยท DraftKings
Market Implied: 52.8%
Edge: -10.0%
EV: -19.0%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 113 | Points | 98 |
| 0.689 | Points % | 0.598 |
| 296 | Goals For | 250 |
| 240 | Goals Against | 243 |
| 56 | Goal Differential | 7 |
| W1 | Current Streak | W3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 24 | Wins | 20 |
| 53 | Points | 48 |
| 21 | Goal Differential | -2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 7-2-1 | Record | 7-3-0 |
| 15 | Points | 14 |
| 39 | Goals For | 36 |
| 27 | Goals Against | 25 |
| 12 | Goal Differential | 11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 9-1 | Record | 1-9 |
| 37 | Total Goals | 21 |
| +16 | Goal Differential | -16 |
| 3.7 | Goals / Game | 2.1 |
| 32.7 | Shots / Game | 24.1 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Dec 14, 2025 |
|
2 - 3 | 26 - 32 | View |
| Dec 13, 2025 |
|
4 - 3 | 21 - 18 | View |
| Oct 11, 2025 |
|
3 - 4 | 23 - 39 | View |
| Mar 15, 2025 |
|
5 - 0 | 30 - 26 | View |
| Nov 20, 2024 |
|
4 - 1 | 37 - 19 | View |
| Nov 5, 2024 |
|
4 - 6 | 16 - 35 | View |
| Mar 21, 2024 |
|
2 - 3 | 32 - 33 | View |
| Nov 28, 2023 |
|
4 - 1 | 36 - 29 | View |
| Nov 15, 2023 |
|
3 - 1 | 24 - 32 | View |
| Oct 30, 2023 |
|
3 - 2 | 32 - 28 | 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.