Detroit Red Wings vs Tampa Bay Lightning prediction, odds, win probability, and matchup analysis for April 13, 2026
Get the playerWON NHL prediction for the Detroit Red Wings at Tampa Bay Lightning matchup on April 13, 2026. playerWONโs machine-learning model currently gives the Tampa Bay Lightning a 74.2% win probability.
๐ค Model favours Tampa Bay Lightning
(74.2%)
Compare market odds, fair odds, and value below.
April 13, 2026
Visitor Model vs Market
Detroit Red Wings
25.8%
Fair American: +288
Fair Decimal: 3.88
Best Market: +170 ยท BetUS
Market Implied: 37.0%
Edge: -11.2%
EV: -30.3%
Calculate Value โ
Home Model vs Market
Tampa Bay Lightning
74.2%
Fair American: -288
Fair Decimal: 1.35
Best Market: -190 ยท BetOnline.ag
Market Implied: 65.5%
Edge: +8.7%
EV: +13.3%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 92 | Points | 106 |
| 0.561 | Points % | 0.646 |
| 241 | Goals For | 290 |
| 258 | Goals Against | 231 |
| -17 | Goal Differential | 59 |
| L1 | Current Streak | L1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 26 |
| 46 | Points | 53 |
| -7 | Goal Differential | 22 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-6-2 | Record | 5-5-0 |
| 6 | Points | 10 |
| 29 | Goals For | 26 |
| 45 | Goals Against | 30 |
| -16 | Goal Differential | -4 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 6-4 | Record | 4-6 |
| 28 | Total Goals | 32 |
| -4 | Goal Differential | +4 |
| 2.8 | Goals / Game | 3.2 |
| 33.5 | Shots / Game | 26.6 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 12, 2026 |
|
1 - 4 | 25 - 28 | View |
| Nov 28, 2025 |
|
6 - 3 | 28 - 36 | View |
| Oct 17, 2025 |
|
1 - 2 | 32 - 31 | View |
| Apr 11, 2025 |
|
4 - 3 | 26 - 21 | View |
| Feb 8, 2025 |
|
6 - 3 | 18 - 37 | View |
| Jan 25, 2025 |
|
0 - 2 | 28 - 32 | View |
| Jan 18, 2025 |
|
1 - 5 | 39 - 22 | View |
| Apr 1, 2024 |
|
4 - 2 | 32 - 36 | View |
| Jan 21, 2024 |
|
1 - 2 | 28 - 35 | View |
| Oct 14, 2023 |
|
4 - 6 | 25 - 42 | 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.