Nashville Predators vs Los Angeles Kings prediction, odds, win probability, and matchup analysis for April 6, 2026
Get the playerWON NHL prediction for the Nashville Predators at Los Angeles Kings matchup on April 6, 2026. playerWONโs machine-learning model currently gives the Nashville Predators a 56.4% win probability.
๐ค Model favours Nashville Predators
(56.4%)
Compare market odds, fair odds, and value below.
April 6, 2026
Visitor Model vs Market
Nashville Predators
56.4%
Fair American: -129
Fair Decimal: 1.77
Best Market: +116 ยท BetOnline.ag
Market Implied: 46.3%
Edge: +10.1%
EV: +21.8%
Calculate Value โ
Home Model vs Market
Los Angeles Kings
43.6%
Fair American: +129
Fair Decimal: 2.29
Best Market: -130 ยท BetUS
Market Implied: 56.5%
Edge: -12.9%
EV: -22.9%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 86 | Points | 90 |
| 0.524 | Points % | 0.549 |
| 247 | Goals For | 225 |
| 269 | Goals Against | 247 |
| -22 | Goal Differential | -22 |
| L2 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 17 | Wins | 15 |
| 41 | Points | 39 |
| -17 | Goal Differential | -20 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 4-5-1 | Record | 6-2-2 |
| 9 | Points | 14 |
| 30 | Goals For | 32 |
| 30 | Goals Against | 31 |
| 0 | Goal Differential | 1 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 7-3 | Record | 3-7 |
| 28 | Total Goals | 24 |
| +4 | Goal Differential | -4 |
| 2.8 | Goals / Game | 2.4 |
| 27.9 | Shots / Game | 29.2 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 2, 2026 |
|
5 - 4 | 34 - 33 | View |
| Oct 25, 2025 |
|
4 - 5 | 40 - 25 | View |
| Mar 15, 2025 |
|
0 - 1 | 24 - 21 | View |
| Dec 21, 2024 |
|
2 - 3 | 24 - 26 | View |
| Nov 4, 2024 |
|
3 - 0 | 27 - 16 | View |
| Feb 22, 2024 |
|
4 - 1 | 21 - 28 | View |
| Jan 31, 2024 |
|
4 - 2 | 24 - 42 | View |
| Jan 18, 2024 |
|
2 - 1 | 33 - 34 | View |
| Mar 11, 2023 |
|
2 - 1 | 30 - 27 | View |
| Jan 21, 2023 |
|
3 - 5 | 34 - 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.