San Jose Sharks vs Nashville Predators prediction, odds, win probability, and matchup analysis for April 13, 2026
Get the playerWON NHL prediction for the San Jose Sharks at Nashville Predators matchup on April 13, 2026. playerWONโs machine-learning model currently gives the Nashville Predators a 60.6% win probability.
๐ค Model favours Nashville Predators
(60.6%)
Compare market odds, fair odds, and value below.
April 13, 2026
Visitor Model vs Market
San Jose Sharks
39.4%
Fair American: +154
Fair Decimal: 2.54
Best Market: +130 ยท BetOnline.ag
Market Implied: 43.5%
Edge: -4.1%
EV: -9.4%
Calculate Value โ
Home Model vs Market
Nashville Predators
60.6%
Fair American: -154
Fair Decimal: 1.65
Best Market: -148 ยท BetOnline.ag
Market Implied: 59.7%
Edge: +0.9%
EV: +1.5%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 86 | Points | 86 |
| 0.524 | Points % | 0.524 |
| 251 | Goals For | 247 |
| 292 | Goals Against | 269 |
| -41 | Goal Differential | -22 |
| W1 | Current Streak | L2 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 18 | Wins | 21 |
| 38 | Points | 45 |
| -25 | Goal Differential | -5 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 5-4-1 | Record | 4-5-1 |
| 11 | Points | 9 |
| 31 | Goals For | 30 |
| 35 | Goals Against | 30 |
| -4 | Goal Differential | 0 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 0-10 | Record | 10-0 |
| 27 | Total Goals | 54 |
| -27 | Goal Differential | +27 |
| 2.7 | Goals / Game | 5.4 |
| 27.7 | Shots / Game | 30.9 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 4, 2026 |
|
6 - 3 | 34 - 27 | View |
| Mar 24, 2026 |
|
3 - 6 | 30 - 19 | View |
| Mar 11, 2025 |
|
3 - 2 | 19 - 27 | View |
| Jan 23, 2025 |
|
6 - 5 | 38 - 35 | View |
| Jan 21, 2025 |
|
5 - 7 | 24 - 41 | View |
| Mar 19, 2024 |
|
2 - 8 | 20 - 40 | View |
| Feb 24, 2024 |
|
4 - 2 | 35 - 25 | View |
| Oct 21, 2023 |
|
1 - 5 | 32 - 34 | View |
| Feb 23, 2023 |
|
6 - 2 | 31 - 24 | View |
| Oct 8, 2022 |
|
3 - 2 | 18 - 33 | 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.