New York Rangers vs Florida Panthers prediction, odds, win probability, and matchup analysis for April 13, 2026
Get the playerWON NHL prediction for the New York Rangers at Florida Panthers matchup on April 13, 2026. playerWONโs machine-learning model currently gives the Florida Panthers a 57.7% win probability.
๐ค Model favours Florida Panthers
(57.7%)
Compare market odds, fair odds, and value below.
April 13, 2026
Visitor Model vs Market
New York Rangers
42.3%
Fair American: +136
Fair Decimal: 2.36
Best Market: -137 ยท BetRivers
Market Implied: 57.8%
Edge: -15.5%
EV: -26.8%
Calculate Value โ
Home Model vs Market
Florida Panthers
57.7%
Fair American: -136
Fair Decimal: 1.73
Best Market: +130 ยท BetOnline.ag
Market Implied: 43.5%
Edge: +14.2%
EV: +32.7%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 77 | Points | 84 |
| 0.470 | Points % | 0.512 |
| 238 | Goals For | 251 |
| 250 | Goals Against | 276 |
| -12 | Goal Differential | -25 |
| W1 | Current Streak | W3 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 23 |
| 42 | Points | 49 |
| 6 | Goal Differential | 10 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 6-4-0 | Record | 5-4-1 |
| 12 | Points | 11 |
| 36 | Goals For | 36 |
| 20 | Goals Against | 35 |
| 16 | Goal Differential | 1 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 6-4 | Record | 4-6 |
| 36 | Total Goals | 29 |
| +7 | Goal Differential | -7 |
| 3.6 | Goals / Game | 2.9 |
| 29.3 | Shots / Game | 31.1 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 29, 2026 |
|
1 - 3 | 27 - 21 | View |
| Jan 2, 2026 |
|
5 - 1 | 20 - 37 | View |
| Apr 14, 2025 |
|
5 - 3 | 25 - 30 | View |
| Dec 30, 2024 |
|
3 - 5 | 35 - 26 | View |
| Oct 24, 2024 |
|
3 - 1 | 29 - 25 | View |
| Mar 23, 2024 |
|
3 - 4 | 30 - 37 | View |
| Mar 4, 2024 |
|
4 - 2 | 30 - 28 | View |
| Dec 29, 2023 |
|
3 - 4 | 34 - 33 | View |
| Mar 25, 2023 |
|
4 - 3 | 42 - 34 | View |
| Jan 23, 2023 |
|
2 - 6 | 35 - 26 | 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.