Game Recap
The Anaheim Ducks defeated the New York Rangers 4-1 on December 15, 2025. Despite the result, the New York Rangers held the edge in expected goals (7.44 to 3.98) at 5-on-5, indicating the Anaheim Ducks received favorable bounces or strong goaltending. The New York Rangers created 10 high-danger scoring chances compared to 5 from the Anaheim Ducks at 5-on-5. Cutter Gauthier scored 2 goals. J.T. Miller was the most dangerous skater with 1.68 individual expected goals on 4 shots at 5-on-5. The New York Rangers outshot the Anaheim Ducks 27-26 in total shots on goal.
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- xG Gameflow — cumulative expected goals chart tracking each team's xG as Anaheim Ducks vs New York Rangers progressed on Dec 15, 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
ANA4 - 1NYR
Dec 15, 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 | 25 | 17 | 59.5 | 20 | 14 | 58.8 | 9 | 9 | 50.0 | 18 | 9 | 66.7 | 4 | 2 | 66.7 | 4.30 | 1.91 | 69.2 | 0 | 0 | — |
| P2 | 25 | 21 | 54.3 | 18 | 16 | 52.9 | 13 | 9 | 59.1 | 14 | 15 | 48.3 | 4 | 8 | 33.3 | 2.33 | 4.58 | 33.7 | 1 | 1 | 50.0 | |
| P3 | 14 | 16 | 46.7 | 11 | 12 | 47.8 | 5 | 8 | 38.5 | 12 | 11 | 52.2 | 7 | 3 | 70.0 | 3.15 | 2.18 | 59.1 | 0 | 3 | 0.0 | |
| Total | 64 | 54 | 54.2 | 49 | 42 | 53.8 | 27 | 26 | 50.9 | 44 | 35 | 55.7 | 15 | 13 | 53.6 | 9.78 | 8.67 | 53.0 | 1 | 4 | 20.0 | |
| ANA | P1 | 17 | 25 | 40.5 | 14 | 20 | 41.2 | 9 | 9 | 50.0 | 9 | 18 | 33.3 | 2 | 4 | 33.3 | 1.91 | 4.30 | 30.8 | 0 | 0 | — |
| P2 | 21 | 25 | 45.7 | 16 | 18 | 47.1 | 9 | 13 | 40.9 | 15 | 14 | 51.7 | 8 | 4 | 66.7 | 4.58 | 2.33 | 66.3 | 1 | 1 | 50.0 | |
| P3 | 16 | 14 | 53.3 | 12 | 11 | 52.2 | 8 | 5 | 61.5 | 11 | 12 | 47.8 | 3 | 7 | 30.0 | 2.18 | 3.15 | 40.9 | 3 | 0 | 100.0 | |
| Total | 54 | 64 | 45.8 | 42 | 49 | 46.2 | 26 | 27 | 49.1 | 35 | 44 | 44.3 | 13 | 15 | 46.4 | 8.67 | 9.78 | 47.0 | 4 | 1 | 80.0 | |
Win Probability
NYR Favored
ANA Favored
Goal
Power Play
Gameflow — Cumulative xG
NYR
ANA
Goal
Shot Density Heatmap
ANA Attempts
NYR Attempts
Individual Event Map
ANA ShootNYR Shoot
Shot on Net
Hit
Takeaway
Player Matchup Grid
This grid shows how every skater on the home team (NYR) performed against every skater on the away team (ANA) when they were on the ice at the same time.
- Rows = NYR players, Columns = ANA 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 ↓ / ANA → | Carlsson | Poehling | Granlund | McTavish | Strome | Kreider | Gauthier | Killorn | Johnston | Sennecke | Terry | Vatrano | LaCombe | Trouba | Mintyukov | Gudas | Zellweger | Moore |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Trocheck | 36 | 63 | 28 | 58 | 20 | 56 | 43 | 63 | 0 | 58 | 36 | 47 | 56 | 65 | 50 | 50 | 0 | 50 |
| Miller | 40 | 60 | 36 | 25 | 25 | 29 | 42 | 59 | 33 | 25 | 50 | 67 | 47 | 53 | 69 | 75 | 0 | 50 |
| Laba | 40 | 40 | 36 | 42 | 0 | 37 | 29 | 100 | 33 | 42 | 44 | 80 | 47 | 50 | 67 | 80 | 30 | 50 |
| Rempe | 25 | 71 | 0 | 100 | 69 | 100 | 25 | 0 | 75 | 100 | 100 | 100 | 78 | 78 | 58 | 58 | 100 | 100 |
| Carrick | 14 | 71 | — | 0 | 65 | — | 20 | 0 | 75 | 50 | 33 | — | 80 | 80 | 38 | 38 | 80 | 100 |
| Brodzinski | 50 | 0 | 57 | 42 | — | 50 | 33 | 0 | — | 42 | 100 | 75 | 67 | 50 | 57 | 67 | 30 | 45 |
| Panarin | 55 | 65 | 33 | 43 | 25 | 58 | 50 | 69 | 33 | 43 | 42 | 57 | 57 | 59 | 58 | 60 | 0 | 50 |
| Cuylle | 35 | 57 | 27 | 100 | 33 | 29 | 39 | 50 | 33 | 100 | 43 | 86 | 45 | 52 | 63 | 75 | 50 | 67 |
| Lafrenière | 67 | 59 | 20 | 67 | 20 | 67 | 63 | 82 | 25 | 67 | 33 | 53 | 59 | 62 | 60 | 64 | 0 | 67 |
| Sheary | 42 | 0 | 50 | 100 | 100 | 75 | 35 | 31 | 100 | 100 | 100 | 83 | 50 | 43 | 50 | 55 | 0 | 67 |
| Berard | 0 | — | 100 | 45 | — | 42 | 0 | 0 | — | 45 | 57 | 100 | 83 | 71 | 50 | 50 | 25 | 29 |
| Raddysh | 29 | 67 | 0 | 80 | 65 | 80 | 33 | 0 | 75 | 80 | 33 | 0 | 82 | 78 | 36 | 38 | 80 | 100 |
| Gavrikov | 53 | 69 | 45 | 75 | 63 | 54 | 47 | 64 | 75 | 78 | 50 | 56 | 65 | 72 | 50 | 48 | 67 | 100 |
| Schneider | 25 | 56 | 35 | 71 | 50 | 52 | 30 | 50 | 63 | 73 | 33 | 50 | 56 | 75 | 43 | 40 | 57 | 80 |
| Robertson | 29 | 40 | 50 | 41 | 0 | 41 | 31 | 42 | 25 | 41 | 50 | 71 | 35 | 40 | 70 | 70 | 25 | 33 |
| Borgen | 20 | 100 | 50 | 50 | 50 | 50 | 23 | 21 | 100 | 50 | 43 | 67 | 42 | 50 | 50 | 43 | 0 | 33 |
| Soucy | 36 | 80 | 33 | 0 | 78 | 0 | 38 | 25 | 80 | 0 | 33 | 33 | 44 | 50 | 56 | 56 | 43 | 57 |
| Vaakanainen | 50 | 50 | 100 | 14 | 43 | 17 | 25 | 50 | 50 | 14 | 100 | 83 | 67 | 60 | 40 | 40 | 25 | 33 |
