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NYI

New York Islanders

Rated #26 of 32 by xG-Elo in 2026-27

2026-27 regular season

Record
7 wins, 4 regulation losses, 2 overtime losses
Points
16
Points rank
#15 of 32
Goal diff
+5

Every club’s 2026-27 standings

The model’s read · 2026-27

Rated 11 spots lower than the standings

  • #15 of 32In points
  • #26 of 32By xG-Elo
Where the model disagrees most
How the rating works — it is built from expected-goal margin, not from results

xG-Elo moves game by game with the model’s expected-goals margin, never with the score or the standings, which is why it can disagree with a club’s points. That disagreement is the sentence above. Under 7 spots apart the two are read as in line: a display rule for the wording, not a test of whether a gap is real.

This club’s rating is 1475. Every club starts from 1500 and is pulled back toward it between seasons, so above 1500 is stronger than an average team and below it weaker.

2026-27 · 13 games · goals

Goal margin: expected and actual

The standings count goals and the rating counts only chances; the New York Islanders scored more than their chances were worth, so the standings place them higher.

Expected goal margin−3.5 · #22 of 32

Actual goal margin, same attempts+5 · #10 of 32

Gap +8.6 goals, actual minus expected

Scoring, against the model
−0.6Fewer goals than its chances were worth
Goals allowed, against the model
−9.2Fewer than its opponents’ chances were worth
Compare with every club — where its two margins sit among the league’s

Expected goal margin−3.5 · #22 of 32

Actual goal margin, same attempts+5 · #10 of 32

  • Expected, from chance quality
  • Actual
  • Another club
Every club’s two margins, 2026-27, in order of expected margin
#ClubExpectedActualGap
1CAR+21.6+21−0.7
2MIN+18.1+12−6.0
3NJD+13.8+5−8.8
4UTA+13.7+5−8.7
5VGK+13.3+10−3.4
6TBL+9.8+6−3.8
7DET+6.1−1−7.1
8COL+5.1+13+7.9
9EDM+4.3+13+8.7
10FLA+3.9+2−1.9
11DAL+3.6+5+1.4
12NYR+2.3+2−0.3
13BUF+1.6−6−7.6
14STL+1.5+2+0.5
15MTL+0.5+3+2.5
16WSH+0.3+6+5.7
17BOS0.0+18+18.0
18OTT−0.9−2−1.1
19LAK−1.8−8−6.2
20NSH−2.7−4−1.3
21PIT−3.0−1+2.0
22NYI−3.5+5+8.6
23CGY−4.8−17−12.2
24TOR−5.2+7+12.2
25WPG−6.3−10−3.7
26CBJ−6.8−9−2.2
27ANA−7.9−7+0.9
28SEA−8.4+2+10.4
29CHI−13.6−21−7.4
30SJS−15.8−7+8.8
31PHI−16.2−21−4.8
32VAN−22.5−23−0.5

Every club’s expected goals and goals, for and against, are on the Teams page.

How these are counted — open-play unblocked attempts at every strength; not the standings’ goal totals

The reading in full

This points to goals rather than chances. The club’s goal margin ran 8.6 ahead of its expected-goal margin: measured against the model alone, it scored 0.6 fewer goals than its chances were worth and allowed 9.2 fewer than its opponents’ chances were worth. The standings are built from results, which count those goals; the rating counts only the chances, so it places the New York Islanders lower.

The rating is built from expected goals, the chances a club makes and allows. The standings are built from results, and results from goals. These are the two ledgers side by side, over the same attempts.

Both margins count the same pucks: open-play unblocked attempts, at every strength, with a recorded location. The actual margin is the goals on those attempts, so it leaves out penalty-shot goals and each shootout winner’s extra goal, which the standings count.

Raw, the New York Islanders scored 0.6 fewer goals than their chances were worth and allowed 9.2 fewer than their opponents’ chances were worth so far in 2026-27. The scoring and allowed bars are these raw figures, measured against the model alone: the model’s league-wide level for the season being played is read once, after the season, so no average club is measured until then, and the league’s own level stays in each club’s figure. Goals allowed beyond the chances is goaltending, and whatever else the model does not see.

Expected goals and goals, New York Islanders, 2026-27
LedgerForAgainst
Expected goals39.643.2
Goals on those attempts3934
Rating entering the season
1482 · #25 of 32
Rating entering its latest game
1475 · #26 of 32

The rating carries each club into a season from the last one, pulled back toward 1500, and then moves after every game by how far that game’s expected-goal margin beat or missed what the two clubs’ ratings predicted, home ice included. Its latest figure is the rating the club took into its most recent game.

What it cannot establish

Whether scoring or keeping out goals beyond expected is skill that will last, luck that will not, or chances the model reads wrong: nothing here tells the three apart. For skaters, finishing above expected has carried only partly into the following season — does finishing persist? These figures say which ledger the standings came from, not which ranking is right.

Regular season · per game · same attempts

Season trends

  • Expected
  • Actual
  • 2021-22: expected goal difference −0.22 per game, goal difference on the same attempts −0.02 per game, over 82 games
  • 2022-23: expected goal difference −0.09 per game, goal difference on the same attempts +0.30 per game, over 82 games
  • 2023-24: expected goal difference −0.36 per game, goal difference on the same attempts −0.16 per game, over 82 games
  • 2024-25: expected goal difference −0.07 per game, goal difference on the same attempts −0.43 per game, over 82 games
  • 2025-26: expected goal difference −0.34 per game, goal difference on the same attempts −0.10 per game, over 82 games
  • 2026-27 to date: expected goal difference −0.27 per game, goal difference on the same attempts +0.38 per game, over 13 games
Goal difference per game, expected (xGD) and actual (GD), using the same open-play attempts
How it is counted — not the standings’ goal difference

Each regular season, both figures count the same open-play unblocked attempts: expected goals for minus against, and the goals scored on those attempts for minus against, each divided by games played (GP). That is not the standings’ goal difference, which also counts penalty-shot goals and each shootout winner’s extra goal. The season to date is drawn on its own, joined to nothing.

Next game

Edmonton Oilers at New York Islanders

Sat, Oct 31 · 2:00 PM ET

Pre-game win chance

EDM 51%NYI 49%

Set Oct 31, 8:50 AM ET, before puck drop.

The model’s projection, not a betting recommendation. Its accuracy is modest (AUC 0.600, on a scale where 0.5 is a coin flip and 1.0 is perfect). That figure is measured on 2025-26, the season the rest adjustment was first seen in, so it describes that season rather than testing the model on games it had not seen.

Game preview

Last game · numbered by five-on-five time together

Lines from last game

Oct 29 at MIN (Minnesota Wild). These are the lines that game was played with, not a projection of the next one.

Forwards

  1. Line 1HorvatPalmieriHolmstrom12:26 together at five-on-five
  2. Line 2HeinemanSchennEklund10:29 together at five-on-five
  3. Line 3PalatDuclairPageau10:05 together at five-on-five
  4. Line 4CizikasMacLeanChaffee6:07 together at five-on-five

Defence

  1. Pair 1SchaeferPelech9:56 together at five-on-five
  2. Pair 2StanleyDeAngelo4:45 together at five-on-five

Also played (defence, not part of a pair): Scott Mayfield 10:24 at 5-on-5, Ryan Pulock 0:51 at 5-on-5

Penalty kill

  1. PK1HorvatHeinemanMayfieldStanley1:22 together killing a penalty
  2. PK2HolmstromPageauMayfieldPelech1:01 together killing a penalty

Goalie

Box score

Skaters
G
A
+/-
PIM
SH%
PPG
SHG
HIT
BLK
GV
TK
FOW
FOL
FO%
SHFT
TOI PP
TOI SH
2
1
0
0
6
33.3
0
0
1
2
4
0
0
0
—
35
30:01
2:20
0:02
0
0
−1
0
0
—
0
0
0
2
0
0
0
0
—
31
26:16
0:02
4:30
1
0
−1
2
3
33.3
0
0
1
2
1
0
0
0
—
32
23:49
0:02
1:57
0
0
+1
0
0
—
0
0
1
1
1
1
0
0
—
29
21:26
0:22
0:04
1
0
−1
0
3
33.3
1
0
2
2
0
1
11
6
64.7
28
20:57
1:40
2:55
0
1
+1
0
2
0.0
0
0
0
0
0
0
0
0
—
25
20:18
1:43
3:40
0
1
+1
0
2
0.0
0
0
4
0
0
0
0
1
0.0
21
17:09
1:02
2:04
0
0
0
2
2
0.0
0
0
3
1
1
0
0
0
—
25
17:03
1:41
0:00
0
1
0
2
1
0.0
0
0
0
1
1
0
12
8
60.0
27
15:56
0:00
1:34
0
0
0
0
1
0.0
0
0
1
1
3
0
0
0
—
21
15:51
0:00
5:27
0
0
−2
0
0
—
0
0
3
1
0
0
1
1
50.0
23
15:44
0:59
0:08
0
0
+2
0
1
0.0
0
0
2
1
3
1
5
6
45.5
19
14:18
1:41
0:00
0
0
−1
0
3
0.0
0
0
0
0
0
1
0
0
—
21
14:07
1:01
0:00
0
1
+1
0
0
—
0
0
3
0
0
0
0
0
—
18
12:52
1:01
0:00
0
0
−1
0
2
0.0
0
0
1
0
0
0
4
1
80.0
18
11:02
0:02
1:19
0
0
0
0
0
—
0
0
5
0
1
0
0
1
0.0
14
9:02
0:02
0:20
0
0
−1
0
0
—
0
0
3
0
1
0
0
1
0.0
14
8:57
0:02
0:00
0
0
0
0
0
—
0
0
0
0
0
0
0
0
—
2
0:51
0:00
0:00
Goaltending
SOGA
MIN
PIM
26
3
23
.885
60:33
0
How these lines are found — from the shift charts, numbered by time together, not a coach’s depth chart

Every shift each player took in the game is lined up against everyone else’s, using the NHL’s own shift charts. Only five-on-five time with both goalies in net counts, so power plays and penalty kills do not split a line. Line 1 is the three forwards who spent the most of that time on the ice together, line 2 the most of the rest, and so on; defence pairs the same way.

A group that never took a full shift together, about a minute, is not called a line: its players are listed as also played. A game is used only when every skater’s time in the shift chart is within 30 seconds of the box score, so a chart the NHL published incomplete is skipped rather than read.

A power-play unit is the same five skaters on the ice together while the club had five skaters to the other side’s four or three; a penalty-kill unit is four skaters together while short a man. The second unit is the best group that shares at most one player with the first, since one player often plays on both. Power-play and short-handed time follow the penalties, not an empty net: a goalie pulled for an extra attacker at even strength is still even strength.

The box score is the NHL’s own, except four figures it does not publish. Short-handed goals and faceoffs won and lost come from the play-by-play, which is used only when it reproduces the box score’s goals, power-play goals and faceoff percentages exactly; power-play and short-handed ice time come from the shift chart.

From the last 7 days · newest first

News

  1. Injury

    Ryan Pulock exits early in latest Islanders injury worry (external site)

    NY Post Sports via Yahoo Sports ·

    In this story: Ryan Pulock, New York Islanders

  2. Transaction

    REPORT: Brayden Schenn Nixed Trade To Leafs Before Trade To Islanders (external site)

    The Hockey News - New York Islanders via Yahoo Sports ·

    In this story: Brayden Schenn, New York Islanders, St. Louis Blues

All New York Islanders news

Current roster · clubs updated weekly

Roster

Per-game rates, recency-weighted over every season since 2021-22. Skaters are listed by Adj. P, points per game pulled toward the league average when the sample is small; the other rates are the recorded ones.

Forwards: per-game rates
Forwards#Adj. PPTSGA
Mathew Barzal130.870.870.240.632.43333
Bo Horvat140.830.840.430.403.15403
Brayden Schenn100.580.580.240.331.69420
Kyle Palmieri210.560.570.280.292.31337
Matias Maccelli630.560.560.190.371.42303
Simon Holmstrom920.500.500.250.261.27295
Jean-Gabriel Pageau440.490.490.180.311.28405
Ruslan Iskhakov370.470.500.000.501.002
Anthony Duclair110.430.430.220.211.38319
Victor Eklund380.410.410.220.191.4114
Calum Ritchie640.410.410.180.221.1780
Emil Heineman510.370.370.220.151.75166
Pierre Engvall180.330.320.150.171.64308
Ondrej Palat810.300.300.130.181.18407
Matt Luff250.260.210.160.051.0447
Liam Foudy430.230.190.070.120.8979
Casey Cizikas530.230.220.110.121.05412
Mitchell Chaffee260.200.190.120.070.85123
Kyle MacLean320.130.130.040.080.72181
Defence: per-game rates
Defence#Adj. PPTSGA
Matthew Schaefer480.800.810.290.522.9895
Tony DeAngelo770.450.450.080.371.83312
Marshall Warren410.390.380.000.380.888
Ryan Pulock60.300.300.050.261.21370
Logan Stanley80.290.290.060.220.99271
Adam Pelech30.250.250.040.211.49363
Ethan Bear740.250.220.050.171.24143
Alexander Romanov280.230.230.050.181.38327
Isaiah George360.200.170.020.150.7337
Scott Mayfield240.180.170.030.140.89340
Matthew Kessel40.130.120.030.090.77106
Goalies: per-game rates
Goalies#
Semyon Varlamov40.9042.6124.627.259:30101
Vitek Vanecek41.8892.8322.625.455:07182
Ilya Sorokin30.9092.5825.928.558:31302
How these rates are built — the club is their current one, re-checked weekly; the rates span every season since 2021-22

Each player is listed under the club the NHL had them on when we last checked, and clubs are re-checked once a week: a player traded in the last few days can still appear under their previous club, while the rates beside them span every season since 2021-22, wherever they played them. Each rate is a recency-weighted per-game average, and Sample is the number of games it rests on.

Skaters are ordered by a points rate shrunk toward the league average in proportion to how little a player has played, so a one-game sample does not out-rank a career. That rate is Adj. P; PTS and the other columns are the recorded rates, and for anyone with a real sample Adj. P and PTS are nearly the same number. Save percentage is total saves over total shots, weighted, not the average of per-game save percentages, which would count a two-shot relief appearance as heavily as a forty-shot start.

2026-27 cap · 2025-26 production

Best cap efficiency

Best cap efficiency on this club: points per $1M of cap hit
#SkaterCap hitClub controlPTSPTS / $1M
1Matthew SchaeferD82$0.99M2 yrsRFA5959.8
2Calum RitchieC65$0.94M2 yrsRFA3031.9
3Emil HeinemanL82$1.10M1 yrRFA3128.2
4Matias MaccelliL71$2.25M1 yrRFA3917.3
5Simon HolmstromR79$3.63M1 yrRFA4111.3

Club control counts every season a player is signed through, extensions included, so it can describe a different contract from the cap hit beside it. A player measured against the season that earned his contract looks expensive, so recent signings sit low and entry-level deals sit high, by construction. Cap efficiency across the league.