New York Rangers vs Tampa Bay Lightning prediction, odds, win probability, and matchup analysis for April 15, 2026
Get the playerWON NHL prediction for the New York Rangers at Tampa Bay Lightning matchup on April 15, 2026. playerWONโs machine-learning model currently gives the Tampa Bay Lightning a 63.8% win probability.
๐ค Model favours Tampa Bay Lightning
(63.8%)
Compare market odds, fair odds, and value below.
April 15, 2026
Visitor Model vs Market
New York Rangers
36.2%
Fair American: +176
Fair Decimal: 2.76
Best Market: +143 ยท BetOnline.ag
Market Implied: 41.2%
Edge: -5.0%
EV: -12.0%
Calculate Value โ
Home Model vs Market
Tampa Bay Lightning
63.8%
Fair American: -176
Fair Decimal: 1.57
Best Market: -152 ยท BetRivers
Market Implied: 60.3%
Edge: +3.5%
EV: +5.8%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 77 | Points | 106 |
| 0.470 | Points % | 0.646 |
| 238 | Goals For | 290 |
| 250 | Goals Against | 231 |
| -12 | Goal Differential | 59 |
| W1 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 26 |
| 42 | Points | 53 |
| 6 | Goal Differential | 22 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 6-4-0 | Record | 5-5-0 |
| 12 | Points | 10 |
| 36 | Goals For | 26 |
| 20 | Goals Against | 30 |
| 16 | Goal Differential | -4 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 5-5 | Record | 5-5 |
| 33 | Total Goals | 31 |
| +2 | Goal Differential | -2 |
| 3.3 | Goals / Game | 3.1 |
| 29.5 | Shots / Game | 29.8 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Nov 29, 2025 |
|
4 - 1 | 35 - 13 | View |
| Nov 12, 2025 |
|
7 - 3 | 21 - 36 | View |
| Apr 17, 2025 |
|
0 - 4 | 27 - 22 | View |
| Apr 7, 2025 |
|
5 - 1 | 23 - 39 | View |
| Dec 28, 2024 |
|
2 - 6 | 44 - 25 | View |
| Mar 14, 2024 |
|
3 - 6 | 28 - 28 | View |
| Feb 7, 2024 |
|
1 - 3 | 18 - 24 | View |
| Dec 30, 2023 |
|
5 - 1 | 21 - 35 | View |
| Apr 5, 2023 |
|
3 - 6 | 31 - 37 | View |
| Dec 29, 2022 |
|
1 - 2 | 46 - 40 | 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.