San Jose Sharks at New York Islanders
Recap
written from the game dataThe New York Islanders beat the San Jose Sharks 4-1. The Islanders scored first and never trailed. The Islanders led 3-1 after two periods. The biggest swing in win probability was Anders Lee's goal at 1:10 of the second period, which took the Islanders' chances from 53% to 69%. Expected goals favored the Islanders, 2.8 to 2.1; shots on goal were SJS 30, NYI 26. With league-average goaltending at both ends, the Sharks win a replay of these chances 55% of the time. Martin Jones stopped 22 of 25 (.880), 1.1 goals below expected; Semyon Varlamov stopped 29 of 30 (.967), 1.1 goals saved above expected. Three stars: 1. Anders Lee (2 G, 1 A), 2. Mathew Barzal (2 A), 3. Devon Toews (1 G, 1 A).
Line score
goals · shots on goal beneathScoring
5 goals1st period
0-16:49
1-110:36
2nd period
1-21:10
1-317:38
3rd period
1-417:41
Penalties
1st
- 14:55
Stefan Noesen · Trippingdrawn by Josh Bailey2 min
3rd
- 9:28
Mario Ferraro · Hookingdrawn by Anders Lee2 min
- 12:02
Timo Meier · High stickingdrawn by Andy Greene2 min
- 19:26
Nick Leddy · Holdingdrawn by Marcus Sorensen2 min
Win probability
ours · the whole gameBiggest swing: Anders Lee, 2nd 1:10 — 53% → 69%
Shot map
unblocked attempts · size = our xGExpected goals
- 2.11 G
- All situations
- 3 G2.8
- 2.01 G
- Even strength
- 3 G1.5
- 0.10 G
- Power play
- 0 G0.3
Expected goals: the chance each unblocked attempt scores, from our shot model, summed. 77 unblocked attempts. Empty-net goals are left out of the goal counts.
Deserve to win
on the chances createdFlurry-adjusted xG 2.09 – 1.85
How often each side wins a replay of these chances with league-average goaltending at both ends. Rebounds in a flurry are counted once, so a scramble is not three chances.
Team stats
- 30
- Shots on goal
- 26
- 46%
- Faceoffs
- 54%
- 0/1
- Power play
- 0/3
- 6
- Penalty minutes
- 2
- 30
- Hits
- 19
- 15
- Blocked shots
- 18
- 24
- Giveaways
- 26
- 7
- Takeaways
- 6
Box score
every player line
Season series
Tied 1-1
1@
2OTFinal
1@
4this game
Data: NHL. Model: Gridpex (expected goals and win probability built on NHL play-by-play).
