Detroit Red Wings vs Florida Panthers prediction, odds, win probability, and matchup analysis for April 15, 2026
Get the playerWON NHL prediction for the Detroit Red Wings at Florida Panthers matchup on April 15, 2026. playerWONโs machine-learning model currently gives the Florida Panthers a 57.0% win probability.
๐ค Model favours Florida Panthers
(57.0%)
Compare market odds, fair odds, and value below.
April 15, 2026
Visitor Model vs Market
Detroit Red Wings
43.0%
Fair American: +133
Fair Decimal: 2.33
Best Market: -155 ยท BetRivers
Market Implied: 60.8%
Edge: -17.8%
EV: -29.3%
Calculate Value โ
Home Model vs Market
Florida Panthers
57.0%
Fair American: -133
Fair Decimal: 1.75
Best Market: +137 ยท BetOnline.ag
Market Implied: 42.2%
Edge: +14.8%
EV: +35.1%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 92 | Points | 84 |
| 0.561 | Points % | 0.512 |
| 241 | Goals For | 251 |
| 258 | Goals Against | 276 |
| -17 | Goal Differential | -25 |
| L1 | Current Streak | W3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 23 |
| 46 | Points | 49 |
| -7 | Goal Differential | 10 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-6-2 | Record | 5-4-1 |
| 6 | Points | 11 |
| 29 | Goals For | 36 |
| 45 | Goals Against | 35 |
| -16 | Goal Differential | 1 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 4-6 | Record | 6-4 |
| 21 | Total Goals | 26 |
| -5 | Goal Differential | +5 |
| 2.1 | Goals / Game | 2.6 |
| 24.3 | Shots / Game | 31.5 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 10, 2026 |
|
3 - 4 | 28 - 28 | View |
| Mar 6, 2026 |
|
3 - 1 | 23 - 29 | View |
| Oct 15, 2025 |
|
1 - 4 | 21 - 25 | View |
| Apr 10, 2025 |
|
1 - 4 | 23 - 31 | View |
| Apr 6, 2025 |
|
1 - 2 | 33 - 24 | View |
| Jan 16, 2025 |
|
5 - 2 | 20 - 43 | View |
| Mar 30, 2024 |
|
2 - 3 | 22 - 38 | View |
| Mar 2, 2024 |
|
4 - 0 | 37 - 21 | View |
| Jan 17, 2024 |
|
3 - 2 | 29 - 34 | View |
| Nov 2, 2023 |
|
2 - 0 | 27 - 22 | 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.