Chicago Blackhawks vs Seattle Kraken prediction, odds, win probability, and matchup analysis for April 4, 2026
Get the playerWON NHL prediction for the Chicago Blackhawks at Seattle Kraken matchup on April 4, 2026. playerWONโs machine-learning model currently gives the Chicago Blackhawks a 50.3% win probability.
๐ค Model favours Chicago Blackhawks
(50.3%)
Compare market odds, fair odds, and value below.
April 4, 2026
Visitor Model vs Market
Chicago Blackhawks
50.3%
Fair American: -101
Fair Decimal: 1.99
Best Market: +150 ยท Bovada
Market Implied: 40.0%
Edge: +10.3%
EV: +25.8%
Calculate Value โ
Home Model vs Market
Seattle Kraken
49.7%
Fair American: +101
Fair Decimal: 2.01
Best Market: -165 ยท BetMGM
Market Implied: 62.3%
Edge: -12.6%
EV: -20.2%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 72 | Points | 79 |
| 0.439 | Points % | 0.482 |
| 213 | Goals For | 226 |
| 275 | Goals Against | 263 |
| -62 | Goal Differential | -37 |
| W1 | Current Streak | L3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 15 | Wins | 19 |
| 36 | Points | 43 |
| -34 | Goal Differential | -4 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-7-1 | Record | 2-8-0 |
| 5 | Points | 4 |
| 25 | Goals For | 20 |
| 42 | Goals Against | 39 |
| -17 | Goal Differential | -19 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 2-8 | Record | 8-2 |
| 24 | Total Goals | 47 |
| -23 | Goal Differential | +23 |
| 2.4 | Goals / Game | 4.7 |
| 26.1 | Shots / Game | 28.8 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Nov 20, 2025 |
|
3 - 2 | 27 - 24 | View |
| Nov 3, 2025 |
|
1 - 3 | 30 - 24 | View |
| Mar 18, 2025 |
|
6 - 2 | 30 - 29 | View |
| Dec 19, 2024 |
|
1 - 3 | 27 - 24 | View |
| Nov 14, 2024 |
|
1 - 3 | 19 - 26 | View |
| Jan 24, 2024 |
|
2 - 6 | 34 - 28 | View |
| Dec 14, 2023 |
|
1 - 7 | 22 - 29 | View |
| Nov 28, 2023 |
|
3 - 4 | 36 - 23 | View |
| Apr 8, 2023 |
|
3 - 7 | 29 - 31 | View |
| Jan 14, 2023 |
|
8 - 5 | 30 - 27 | 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.