Boston Bruins vs Tampa Bay Lightning prediction, odds, win probability, and matchup analysis for April 4, 2026
Get the playerWON NHL prediction for the Boston Bruins at Tampa Bay Lightning matchup on April 4, 2026. playerWONโs machine-learning model currently gives the Tampa Bay Lightning a 63.4% win probability.
๐ค Model favours Tampa Bay Lightning
(63.4%)
Compare market odds, fair odds, and value below.
April 4, 2026
Visitor Model vs Market
Boston Bruins
36.6%
Fair American: +173
Fair Decimal: 2.73
Best Market: +158 ยท BetOnline.ag
Market Implied: 38.8%
Edge: -2.2%
EV: -5.6%
Calculate Value โ
Home Model vs Market
Tampa Bay Lightning
63.4%
Fair American: -173
Fair Decimal: 1.58
Best Market: -180 ยท BetOnline.ag
Market Implied: 64.3%
Edge: -0.9%
EV: -1.4%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 100 | Points | 106 |
| 0.610 | Points % | 0.646 |
| 272 | Goals For | 290 |
| 250 | Goals Against | 231 |
| 22 | Goal Differential | 59 |
| W2 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 16 | Wins | 26 |
| 41 | Points | 53 |
| -18 | Goal Differential | 22 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 5-3-2 | Record | 5-5-0 |
| 12 | Points | 10 |
| 32 | Goals For | 26 |
| 26 | Goals Against | 30 |
| 6 | Goal Differential | -4 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 3-7 | Record | 7-3 |
| 35 | Total Goals | 36 |
| -1 | Goal Differential | +1 |
| 3.5 | Goals / Game | 3.6 |
| 27.1 | Shots / Game | 33.9 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| 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 |
| Nov 20, 2023 |
|
4 - 5 | 27 - 47 | 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.