San Jose Sharks vs Anaheim Ducks prediction, odds, win probability, and matchup analysis for April 9, 2026
Get the playerWON NHL prediction for the San Jose Sharks at Anaheim Ducks matchup on April 9, 2026. playerWONโs machine-learning model currently gives the Anaheim Ducks a 74.3% win probability.
๐ค Model favours Anaheim Ducks
(74.3%)
Compare market odds, fair odds, and value below.
April 9, 2026
Visitor Model vs Market
San Jose Sharks
25.7%
Fair American: +289
Fair Decimal: 3.89
Best Market: +148 ยท BetOnline.ag
Market Implied: 40.3%
Edge: -14.6%
EV: -36.3%
Calculate Value โ
Home Model vs Market
Anaheim Ducks
74.3%
Fair American: -289
Fair Decimal: 1.35
Best Market: -163 ยท Bovada
Market Implied: 62.0%
Edge: +12.3%
EV: +19.9%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 86 | Points | 92 |
| 0.524 | Points % | 0.561 |
| 251 | Goals For | 273 |
| 292 | Goals Against | 288 |
| -41 | Goal Differential | -15 |
| W1 | Current Streak | W1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 18 | Wins | 24 |
| 38 | Points | 52 |
| -25 | Goal Differential | 2 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 5-4-1 | Record | 2-6-2 |
| 11 | Points | 6 |
| 31 | Goals For | 30 |
| 35 | Goals Against | 41 |
| -4 | Goal Differential | -11 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 3-7 | Record | 7-3 |
| 31 | Total Goals | 39 |
| -8 | Goal Differential | +8 |
| 3.1 | Goals / Game | 3.9 |
| 24.7 | Shots / Game | 36.6 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 1, 2026 |
|
3 - 4 | 31 - 21 | View |
| Dec 29, 2025 |
|
5 - 4 | 13 - 42 | View |
| Oct 11, 2025 |
|
7 - 6 | 44 - 23 | View |
| Apr 1, 2025 |
|
3 - 4 | 31 - 37 | View |
| Oct 22, 2024 |
|
1 - 3 | 28 - 40 | View |
| Oct 12, 2024 |
|
2 - 0 | 30 - 30 | View |
| Feb 29, 2024 |
|
6 - 4 | 30 - 28 | View |
| Jan 31, 2024 |
|
2 - 3 | 28 - 34 | View |
| Jan 20, 2024 |
|
3 - 5 | 34 - 19 | View |
| Nov 12, 2023 |
|
1 - 4 | 26 - 44 | 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.