Los Angeles Kings vs Vancouver Canucks prediction, odds, win probability, and matchup analysis for April 14, 2026
Get the playerWON NHL prediction for the Los Angeles Kings at Vancouver Canucks matchup on April 14, 2026. playerWONโs machine-learning model currently gives the Los Angeles Kings a 58.1% win probability.
๐ค Model favours Los Angeles Kings
(58.1%)
Compare market odds, fair odds, and value below.
April 14, 2026
Visitor Model vs Market
Los Angeles Kings
58.1%
Fair American: -139
Fair Decimal: 1.72
Best Market: -150 ยท BetOnline.ag
Market Implied: 60.0%
Edge: -1.9%
EV: -3.2%
Calculate Value โ
Home Model vs Market
Vancouver Canucks
41.9%
Fair American: +139
Fair Decimal: 2.39
Best Market: +138 ยท BetRivers
Market Implied: 42.0%
Edge: -0.1%
EV: -0.3%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 90 | Points | 58 |
| 0.549 | Points % | 0.354 |
| 225 | Goals For | 216 |
| 247 | Goals Against | 316 |
| -22 | Goal Differential | -100 |
| L1 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 9 |
| 51 | Points | 23 |
| -2 | Goal Differential | -59 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 6-2-2 | Record | 4-6-0 |
| 14 | Points | 8 |
| 32 | Goals For | 31 |
| 31 | Goals Against | 43 |
| 1 | Goal Differential | -12 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 7-3 | Record | 3-7 |
| 34 | Total Goals | 18 |
| +16 | Goal Differential | -16 |
| 3.4 | Goals / Game | 1.8 |
| 25.4 | Shots / Game | 24.5 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 9, 2026 |
|
1 - 4 | 25 - 26 | View |
| Mar 26, 2026 |
|
4 - 0 | 38 - 19 | View |
| Nov 29, 2025 |
|
1 - 2 | 20 - 23 | View |
| Feb 26, 2025 |
|
3 - 2 | 17 - 26 | View |
| Jan 16, 2025 |
|
5 - 1 | 21 - 21 | View |
| Nov 7, 2024 |
|
4 - 2 | 23 - 28 | View |
| Apr 6, 2024 |
|
3 - 6 | 42 - 29 | View |
| Mar 25, 2024 |
|
3 - 2 | 19 - 23 | View |
| Mar 5, 2024 |
|
2 - 1 | 31 - 24 | View |
| Feb 29, 2024 |
|
5 - 1 | 20 - 24 | 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.