Seattle Kraken vs Colorado Avalanche prediction, odds, win probability, and matchup analysis for April 16, 2026
Get the playerWON NHL prediction for the Seattle Kraken at Colorado Avalanche matchup on April 16, 2026. playerWONโs machine-learning model currently gives the Colorado Avalanche a 71.0% win probability.
๐ค Model favours Colorado Avalanche
(71.0%)
Compare market odds, fair odds, and value below.
April 16, 2026
Visitor Model vs Market
Seattle Kraken
29.0%
Fair American: +245
Fair Decimal: 3.45
Best Market: +169 ยท BetOnline.ag
Market Implied: 37.2%
Edge: -8.2%
EV: -22.0%
Calculate Value โ
Home Model vs Market
Colorado Avalanche
71.0%
Fair American: -245
Fair Decimal: 1.41
Best Market: -190 ยท BetUS
Market Implied: 65.5%
Edge: +5.5%
EV: +8.4%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 79 | Points | 121 |
| 0.482 | Points % | 0.738 |
| 226 | Goals For | 302 |
| 263 | Goals Against | 203 |
| -37 | Goal Differential | 99 |
| L3 | Current Streak | W3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 15 | Wins | 26 |
| 36 | Points | 58 |
| -33 | Goal Differential | 49 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-8-0 | Record | 7-2-1 |
| 4 | Points | 15 |
| 20 | Goals For | 34 |
| 39 | Goals Against | 20 |
| -19 | Goal Differential | 14 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 2-8 | Record | 8-2 |
| 21 | Total Goals | 40 |
| -19 | Goal Differential | +19 |
| 2.1 | Goals / Game | 4.0 |
| 27.3 | Shots / Game | 28.8 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 12, 2026 |
|
5 - 1 | 26 - 29 | View |
| Dec 16, 2025 |
|
5 - 3 | 38 - 37 | View |
| Dec 22, 2024 |
|
2 - 5 | 19 - 29 | View |
| Nov 5, 2024 |
|
3 - 6 | 20 - 32 | View |
| Oct 22, 2024 |
|
3 - 2 | 28 - 27 | View |
| Nov 13, 2023 |
|
5 - 1 | 31 - 19 | View |
| Nov 9, 2023 |
|
4 - 3 | 22 - 26 | View |
| Oct 17, 2023 |
|
4 - 1 | 28 - 38 | View |
| Mar 5, 2023 |
|
3 - 2 | 35 - 23 | View |
| Jan 21, 2023 |
|
2 - 1 | 27 - 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.