Game Recap
The New York Rangers defeated the New Jersey Devils 4-1 on March 31, 2026. The New York Rangers controlled play with 50.0% Corsi and generated 3.08 expected goals compared to 2.27 from the New Jersey Devils at 5-on-5, suggesting the result was well-earned. The New York Rangers created 13 high-danger scoring chances compared to 10 from the New Jersey Devils at 5-on-5. Gabe Perreault was the most dangerous skater with 0.61 individual expected goals on 3 shots at 5-on-5. Both teams finished with 23 shots on goal.
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- xG Gameflow — cumulative expected goals chart tracking each team's xG as New Jersey Devils vs New York Rangers progressed on Mar 31, 2026
- Shot heatmap — where shots were taken on the ice, color-coded by scoring probability
- Event timeline — every goal, penalty, and key play mapped chronologically
- Player matchup grid — head-to-head on-ice performance in Corsi and expected goals
- Strength filter — 5v5 by default, with options for power play, penalty kill, and all situations
NJD1 - 4NYR
Mar 31, 2026 · Regular Season
Overview
| Period | Corsi | Fenwick | Shots | SC | HDSC | xG | Goals | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | A | % | F | A | % | F | A | % | F | A | % | F | A | % | F | A | % | F | A | % | ||
| NYR | P1 | 24 | 17 | 58.5 | 18 | 12 | 60.0 | 8 | 5 | 61.5 | 16 | 14 | 53.3 | 7 | 2 | 77.8 | 1.66 | 0.80 | 67.5 | 2 | 0 | 100.0 |
| P2 | 22 | 26 | 45.8 | 19 | 20 | 48.7 | 13 | 13 | 50.0 | 13 | 20 | 39.4 | 6 | 6 | 50.0 | 1.29 | 1.65 | 43.8 | 1 | 1 | 50.0 | |
| P3 | 13 | 25 | 34.2 | 10 | 16 | 38.5 | 2 | 5 | 28.6 | 11 | 17 | 39.3 | 4 | 6 | 40.0 | 0.84 | 1.30 | 39.3 | 1 | 0 | 100.0 | |
| Total | 59 | 68 | 46.5 | 47 | 48 | 49.5 | 23 | 23 | 50.0 | 40 | 51 | 44.0 | 17 | 14 | 54.8 | 3.79 | 3.75 | 50.3 | 4 | 1 | 80.0 | |
| NJD | P1 | 17 | 24 | 41.5 | 12 | 18 | 40.0 | 5 | 8 | 38.5 | 14 | 16 | 46.7 | 2 | 7 | 22.2 | 0.80 | 1.66 | 32.5 | 0 | 2 | 0.0 |
| P2 | 26 | 22 | 54.2 | 20 | 19 | 51.3 | 13 | 13 | 50.0 | 20 | 13 | 60.6 | 6 | 6 | 50.0 | 1.65 | 1.29 | 56.2 | 1 | 1 | 50.0 | |
| P3 | 25 | 13 | 65.8 | 16 | 10 | 61.5 | 5 | 2 | 71.4 | 17 | 11 | 60.7 | 6 | 4 | 60.0 | 1.30 | 0.84 | 60.7 | 0 | 1 | 0.0 | |
| Total | 68 | 59 | 53.5 | 48 | 47 | 50.5 | 23 | 23 | 50.0 | 51 | 40 | 56.0 | 14 | 17 | 45.2 | 3.75 | 3.79 | 49.7 | 1 | 4 | 20.0 | |
Win Probability
NYR Favored
NJD Favored
Goal
Power Play
Gameflow — Cumulative xG
NYR
NJD
Goal
Shot Density Heatmap
NJD Attempts
NYR Attempts
Individual Event Map
NJD ShootNYR Shoot
Missed Shot
Attempt Blocked
Hit
Shot Blocked
Takeaway
Giveaway
Player Matchup Grid
This grid shows how every skater on the home team (NYR) performed against every skater on the away team (NJD) when they were on the ice at the same time.
- Rows = NYR players, Columns = NJD players. Forwards are listed first, then defensemen.
- Green = the NYR player had a favorable matchup (above 50%). Red = unfavorable (below 50%).
- Values shown from the home team's perspective. Toggle between CF% (shot attempt share) and xGF% (expected goal share).
- Cells with fewer than 3 shared events are grayed out (insufficient sample). Hover over any cell for full details.
| NYR ↓ / NJD → | Hughes | Hischier | Mercer | Glass | Bjugstad | Bratt | Cotter | Dadonov | Meier | Brown | Hameenaho | Tsyplakov | Hughes | Hamilton | Nemec | Kovacevic | Dillon | Siegenthaler |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Miller | 44 | 59 | 63 | 67 | 67 | 47 | 33 | 50 | 47 | 53 | 33 | 50 | 48 | 69 | 29 | 65 | 60 | 77 |
| Zibanejad | 75 | 75 | 75 | 60 | 25 | 71 | 0 | 0 | 67 | 78 | 0 | 0 | 71 | 69 | 60 | 77 | 67 | 63 |
| Trocheck | 33 | 54 | 86 | 75 | 46 | 33 | 25 | 0 | 50 | 46 | 60 | 0 | 62 | 75 | 25 | 79 | 42 | 67 |
| Brodzinski | 57 | 50 | 44 | 50 | 86 | 100 | 29 | 50 | 46 | 100 | 75 | 40 | 44 | 67 | 33 | 86 | 54 | 83 |
| Laba | 44 | 42 | 50 | 50 | 86 | 57 | 40 | 75 | 54 | 40 | 75 | 67 | 45 | 80 | 40 | 83 | 60 | 83 |
| Lafrenière | 73 | 75 | 75 | 60 | 25 | 69 | 0 | 0 | 70 | 74 | 0 | 0 | 77 | 67 | 50 | 77 | 57 | 65 |
| Sheary | 43 | 70 | 64 | 20 | 100 | 55 | 20 | 50 | 47 | 55 | 50 | 50 | 47 | 70 | 14 | 64 | 0 | 78 |
| Kartye | 46 | 50 | 58 | 33 | 100 | 50 | 33 | 50 | 47 | 46 | 33 | 50 | 47 | 70 | 20 | 58 | 0 | 78 |
| Cuylle | 40 | 43 | 60 | 67 | 45 | 50 | 25 | 0 | 45 | 0 | 60 | 0 | 57 | 75 | 20 | 67 | 29 | 60 |
| Sykora | 0 | 50 | 75 | 67 | 45 | 0 | 50 | — | 43 | 0 | 60 | — | 100 | 50 | 25 | 75 | 33 | 50 |
| Perreault | 65 | 67 | 67 | 0 | 0 | 65 | 0 | 0 | 67 | 64 | 0 | 0 | 64 | 64 | 33 | 75 | 25 | 60 |
| Chmelar | 100 | 50 | 50 | 75 | 86 | 100 | 67 | 75 | 60 | 100 | 75 | 67 | 80 | 75 | 50 | 86 | 64 | 80 |
| Schneider | 38 | 33 | 40 | 43 | 57 | 43 | 13 | 20 | 45 | 30 | 50 | 20 | 35 | 80 | 26 | 60 | 33 | 71 |
| Gavrikov | 60 | 60 | 89 | 67 | 57 | 63 | 100 | 100 | 71 | 57 | 67 | 100 | 61 | 87 | 43 | 71 | 44 | 82 |
| Fox | 61 | 73 | 85 | 83 | 50 | 61 | 67 | 100 | 60 | 61 | 50 | 100 | 71 | 81 | 25 | 74 | 45 | 82 |
| Borgen | 47 | 54 | 55 | 50 | 67 | 58 | 40 | 40 | 43 | 54 | 50 | 25 | 53 | 43 | 38 | 77 | 57 | 50 |
| Robertson | 50 | 78 | 70 | 42 | 63 | 75 | 25 | 50 | 50 | 75 | 56 | 50 | 57 | 46 | 50 | 82 | 83 | 50 |
| Fortescue | 33 | 36 | 36 | 60 | 50 | 25 | 20 | 33 | 36 | 25 | 50 | 33 | 56 | 67 | 15 | 60 | 21 | 67 |
