Calgary Flames vs Colorado Avalanche prediction, odds, win probability, and matchup analysis for April 9, 2026
Get the playerWON NHL prediction for the Calgary Flames at Colorado Avalanche matchup on April 9, 2026. playerWONโs machine-learning model currently gives the Colorado Avalanche a 64.7% win probability.
๐ค Model favours Colorado Avalanche
(64.7%)
Compare market odds, fair odds, and value below.
April 9, 2026
Visitor Model vs Market
Calgary Flames
35.3%
Fair American: +183
Fair Decimal: 2.83
Best Market: +272 ยท BetOnline.ag
Market Implied: 26.9%
Edge: +8.4%
EV: +31.3%
Calculate Value โ
Home Model vs Market
Colorado Avalanche
64.7%
Fair American: -183
Fair Decimal: 1.55
Best Market: -315 ยท FanDuel
Market Implied: 75.9%
Edge: -11.2%
EV: -14.8%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 77 | Points | 121 |
| 0.470 | Points % | 0.738 |
| 212 | Goals For | 302 |
| 259 | Goals Against | 203 |
| -47 | Goal Differential | 99 |
| W1 | Current Streak | W3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 11 | Wins | 26 |
| 26 | Points | 58 |
| -60 | Goal Differential | 49 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 4-5-1 | Record | 7-2-1 |
| 9 | Points | 15 |
| 30 | Goals For | 34 |
| 37 | Goals Against | 20 |
| -7 | Goal Differential | 14 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 2-8 | Record | 8-2 |
| 24 | Total Goals | 45 |
| -21 | Goal Differential | +21 |
| 2.4 | Goals / Game | 4.5 |
| 28.9 | Shots / Game | 31.8 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 30, 2026 |
|
2 - 9 | 29 - 49 | View |
| Mar 31, 2025 |
|
3 - 2 | 27 - 30 | View |
| Mar 14, 2025 |
|
4 - 2 | 28 - 24 | View |
| Feb 6, 2025 |
|
4 - 2 | 34 - 29 | View |
| Mar 12, 2024 |
|
6 - 2 | 38 - 27 | View |
| Dec 11, 2023 |
|
5 - 6 | 32 - 38 | View |
| Nov 25, 2023 |
|
1 - 3 | 30 - 24 | View |
| Feb 25, 2023 |
|
1 - 4 | 29 - 22 | View |
| Jan 18, 2023 |
|
4 - 1 | 30 - 35 | View |
| Oct 13, 2022 |
|
3 - 5 | 25 - 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.