Detroit Red Wings vs New York Rangers prediction, odds, win probability, and matchup analysis for April 4, 2026
Get the playerWON NHL prediction for the Detroit Red Wings at New York Rangers matchup on April 4, 2026. playerWONโs machine-learning model currently gives the Detroit Red Wings a 58.0% win probability.
๐ค Model favours Detroit Red Wings
(58.0%)
Compare market odds, fair odds, and value below.
April 4, 2026
Visitor Model vs Market
Detroit Red Wings
58.0%
Fair American: -138
Fair Decimal: 1.72
Best Market: -140 ยท BetUS
Market Implied: 58.3%
Edge: -0.3%
EV: -0.6%
Calculate Value โ
Home Model vs Market
New York Rangers
42.0%
Fair American: +138
Fair Decimal: 2.38
Best Market: +125 ยท BetOnline.ag
Market Implied: 44.4%
Edge: -2.4%
EV: -5.5%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 92 | Points | 77 |
| 0.561 | Points % | 0.470 |
| 241 | Goals For | 238 |
| 258 | Goals Against | 250 |
| -17 | Goal Differential | -12 |
| L1 | Current Streak | W1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 14 |
| 46 | Points | 35 |
| -7 | Goal Differential | -18 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 2-6-2 | Record | 6-4-0 |
| 6 | Points | 12 |
| 29 | Goals For | 36 |
| 45 | Goals Against | 20 |
| -16 | Goal Differential | 16 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 2-8 | Record | 8-2 |
| 20 | Total Goals | 39 |
| -19 | Goal Differential | +19 |
| 2.0 | Goals / Game | 3.9 |
| 30.7 | Shots / Game | 30.6 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Nov 16, 2025 |
|
2 - 1 | 42 - 19 | View |
| Nov 7, 2025 |
|
4 - 1 | 26 - 33 | View |
| Nov 9, 2024 |
|
4 - 0 | 24 - 37 | View |
| Oct 17, 2024 |
|
5 - 2 | 34 - 31 | View |
| Oct 14, 2024 |
|
1 - 4 | 32 - 28 | View |
| Apr 5, 2024 |
|
4 - 3 | 38 - 34 | View |
| Nov 29, 2023 |
|
2 - 3 | 27 - 41 | View |
| Nov 7, 2023 |
|
3 - 5 | 28 - 32 | View |
| Feb 23, 2023 |
|
1 - 4 | 31 - 23 | View |
| Nov 10, 2022 |
|
8 - 2 | 33 - 20 | 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.