Tampa Bay Lightning vs Boston Bruins prediction, odds, win probability, and matchup analysis for April 11, 2026
Get the playerWON NHL prediction for the Tampa Bay Lightning at Boston Bruins matchup on April 11, 2026. playerWONโs machine-learning model currently gives the Tampa Bay Lightning a 57.0% win probability.
๐ค Model favours Tampa Bay Lightning
(57.0%)
Compare market odds, fair odds, and value below.
April 11, 2026
Visitor Model vs Market
Tampa Bay Lightning
57.0%
Fair American: -133
Fair Decimal: 1.75
Best Market: -113 ยท BetOnline.ag
Market Implied: 53.1%
Edge: +3.9%
EV: +7.4%
Calculate Value โ
Home Model vs Market
Boston Bruins
43.0%
Fair American: +133
Fair Decimal: 2.33
Best Market: +102 ยท Bovada
Market Implied: 49.5%
Edge: -6.5%
EV: -13.1%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 106 | Points | 100 |
| 0.646 | Points % | 0.610 |
| 290 | Goals For | 272 |
| 231 | Goals Against | 250 |
| 59 | Goal Differential | 22 |
| L1 | Current Streak | W2 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 24 | Wins | 29 |
| 53 | Points | 59 |
| 37 | Goal Differential | 40 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 5-5-0 | Record | 5-3-2 |
| 10 | Points | 12 |
| 26 | Goals For | 32 |
| 30 | Goals Against | 26 |
| -4 | Goal Differential | 6 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 7-3 | Record | 3-7 |
| 34 | Total Goals | 32 |
| +2 | Goal Differential | -2 |
| 3.4 | Goals / Game | 3.2 |
| 31.5 | Shots / Game | 26.6 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Apr 4, 2026 |
|
1 - 3 | 22 - 23 | View |
| Feb 1, 2026 |
|
5 - 6 | 34 - 46 | View |
| Oct 13, 2025 |
|
4 - 3 | 23 - 33 | View |
| Mar 15, 2025 |
|
6 - 2 | 40 - 12 | View |
| Mar 8, 2025 |
|
4 - 0 | 25 - 25 | View |
| Jan 14, 2025 |
|
2 - 6 | 45 - 24 | View |
| Jan 9, 2025 |
|
1 - 4 | 28 - 31 | View |
| Mar 27, 2024 |
|
1 - 3 | 24 - 31 | View |
| Feb 13, 2024 |
|
3 - 2 | 25 - 38 | View |
| Jan 6, 2024 |
|
3 - 7 | 26 - 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.