Game Recap
The Detroit Red Wings defeated the New York Rangers 2-1 on November 16, 2025. The Detroit Red Wings controlled play with 50.5% Corsi and generated 5.65 expected goals compared to 4.79 from the New York Rangers at 5-on-5, suggesting the result was well-earned. The New York Rangers created 11 high-danger scoring chances compared to 5 from the Detroit Red Wings at 5-on-5. Mason Appleton was the most dangerous skater with 0.93 individual expected goals on 2 shots at 5-on-5. The Detroit Red Wings outshot the New York Rangers 42-19 in total shots on goal.
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- xG Gameflow — cumulative expected goals chart tracking each team's xG as Detroit Red Wings vs New York Rangers progressed on Nov 16, 2025
- 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
DET2 - 1NYR
Nov 16, 2025 · 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 | 23 | 21 | 52.3 | 14 | 11 | 56.0 | 6 | 9 | 40.0 | 15 | 16 | 48.4 | 5 | 2 | 71.4 | 2.54 | 1.22 | 67.6 | 0 | 0 | — |
| P2 | 21 | 26 | 44.7 | 13 | 23 | 36.1 | 10 | 19 | 34.5 | 14 | 18 | 43.8 | 9 | 7 | 56.3 | 2.14 | 5.38 | 28.5 | 1 | 1 | 50.0 | |
| P3 | 15 | 29 | 34.1 | 9 | 23 | 28.1 | 3 | 14 | 17.6 | 11 | 20 | 35.5 | 4 | 3 | 57.1 | 2.02 | 4.67 | 30.3 | 0 | 1 | 0.0 | |
| Total | 59 | 76 | 43.7 | 36 | 57 | 38.7 | 19 | 42 | 31.1 | 40 | 54 | 42.6 | 18 | 12 | 60.0 | 6.71 | 11.26 | 37.3 | 1 | 2 | 33.3 | |
| DET | P1 | 21 | 23 | 47.7 | 11 | 14 | 44.0 | 9 | 6 | 60.0 | 16 | 15 | 51.6 | 2 | 5 | 28.6 | 1.22 | 2.54 | 32.4 | 0 | 0 | — |
| P2 | 26 | 21 | 55.3 | 23 | 13 | 63.9 | 19 | 10 | 65.5 | 18 | 14 | 56.3 | 7 | 9 | 43.8 | 5.38 | 2.14 | 71.5 | 1 | 1 | 50.0 | |
| P3 | 29 | 15 | 65.9 | 23 | 9 | 71.9 | 14 | 3 | 82.4 | 20 | 11 | 64.5 | 3 | 4 | 42.9 | 4.67 | 2.02 | 69.7 | 1 | 0 | 100.0 | |
| Total | 76 | 59 | 56.3 | 57 | 36 | 61.3 | 42 | 19 | 68.9 | 54 | 40 | 57.4 | 12 | 18 | 40.0 | 11.26 | 6.71 | 62.7 | 2 | 1 | 66.7 | |
Win Probability
NYR Favored
DET Favored
Goal
Power Play
Gameflow — Cumulative xG
NYR
DET
Goal
Shot Density Heatmap
DET Attempts
NYR Attempts
Individual Event Map
DET ShootNYR Shoot
Shot on Net
Hit
Hit Taken
Giveaway
Player Matchup Grid
This grid shows how every skater on the home team (NYR) performed against every skater on the away team (DET) when they were on the ice at the same time.
- Rows = NYR players, Columns = DET 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 ↓ / DET → | Larkin | Finnie | Rasmussen | Copp | Appleton | Danielson | Kasper | Raymond | Compher | van Riemsdyk | DeBrincat | Kane | Edvinsson | Seider | Sandin-Pellikka | Chiarot | Hamonic | Johansson |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Trocheck | 29 | 68 | 45 | 75 | 43 | — | 100 | 22 | 61 | 80 | 24 | 46 | 76 | 75 | 21 | 47 | 46 | 80 |
| Miller | 32 | 25 | 38 | 42 | 67 | 40 | 100 | 17 | 60 | 33 | 23 | 13 | 41 | 42 | 15 | 60 | 43 | 0 |
| Zibanejad | 35 | 29 | 63 | 58 | 83 | 50 | 100 | 21 | 60 | 57 | 27 | 13 | 59 | 48 | 21 | 64 | 50 | 45 |
| Edstrom | 17 | 0 | 36 | 36 | 0 | 0 | 0 | 14 | 0 | 40 | 17 | 0 | 13 | 18 | 0 | 0 | 100 | 43 |
| Carrick | 0 | 0 | 20 | 20 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 8 | 10 | 0 | 0 | 100 | 20 |
| Laba | 100 | 75 | 0 | 0 | 43 | 44 | 50 | 100 | 100 | 0 | 100 | 100 | 67 | 57 | 50 | 62 | 60 | 70 |
| Brodzinski | 100 | 86 | 0 | 0 | 46 | 53 | 53 | 100 | 80 | 0 | 100 | 80 | 100 | 100 | 42 | 57 | 67 | 70 |
| Panarin | 67 | 65 | 46 | 67 | 56 | — | 100 | 50 | 63 | 80 | 60 | 65 | 67 | 67 | 56 | 67 | 57 | 73 |
| Cuylle | 31 | 25 | 43 | 50 | 83 | 100 | 100 | 18 | 60 | 33 | 23 | 11 | 53 | 47 | 17 | 64 | 43 | 33 |
| Lafrenière | 60 | 74 | 50 | 100 | 57 | — | 100 | 50 | 65 | 100 | 67 | 74 | 92 | 86 | 63 | 60 | 46 | 83 |
| Sheary | 63 | 89 | 0 | 0 | 50 | 50 | 56 | 63 | 100 | 0 | 63 | 86 | 88 | 67 | 40 | 53 | 67 | 71 |
| Raddysh | 0 | 0 | 36 | 33 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 7 | 9 | 0 | 0 | 100 | 43 |
| Fox | 56 | 62 | 46 | 52 | 55 | 60 | 88 | 27 | 61 | 60 | 42 | 57 | 52 | 52 | 64 | 68 | 54 | 55 |
| Gavrikov | 17 | 52 | 56 | 53 | 75 | 33 | 75 | 5 | 60 | 59 | 14 | 36 | 40 | 41 | 27 | 69 | 53 | 50 |
| Soucy | 21 | 56 | 20 | 0 | 25 | 0 | 25 | 18 | 71 | 25 | 19 | 29 | 44 | 31 | 6 | 30 | 40 | 56 |
| Schneider | 13 | 70 | 0 | 0 | 0 | 33 | 40 | 13 | 71 | 0 | 13 | 22 | 47 | 41 | 5 | 17 | 33 | 50 |
| Robertson | 38 | 44 | 0 | 13 | 55 | 44 | 55 | 38 | 75 | 14 | 38 | 33 | 50 | 33 | 31 | 58 | 67 | 75 |
| Morrow | 100 | 100 | 0 | 0 | 43 | 55 | 55 | 100 | 57 | 0 | 100 | 100 | 100 | 100 | 45 | 50 | 43 | 75 |
