Edgehalla
Ondrej Palat headshotNew York Islanders logo

New York Islanders

Ondrej Palat

#81Left Wing6'0"192 lb

0.0 in 2 days
2026-27 regular season
1
GP
0
G
0
A
0
P
2
SOG
0.0% SH
10:06
TOI/GP

LW · NYI · NHL id 8476292

Ondrej Palat has played 1 game for the New York Islanders in 2026-27, scoring 0 goals and 0 assists (0 points) on 2 shots while averaging 10:06 a night (8:57 at even strength, 0:00 on the power play and 1:09 shorthanded). At 5v5 he has skated 79% of his 5v5 minutes with Casey Cizikas and 54% with Anthony Duclair in his only game so far, and the Islanders have controlled 59% of shot attempts with Palat on the ice (0-0 in goals, 50% offensive-zone starts). In the Islanders' most recent game against TOR he was on L4 with Casey Cizikas and Anthony Duclair and off the power play.

Right now

From the Sep 30 game vs TOR, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Last 1: L4
Ascension43Steadylast 1 games vs previous 20 (incl. last season), through Oct 1, 2026
  • −1:42 5v5 TOI
  • 31% of 5v5 TOI with top players (was 62%)

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 1 games, 10:06 average time on ice, PP1 in 0 games, 0 line changes.

PPLine40m3m7m10m13mSep 30
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 10:06 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2025-26 percentiles among skaters at his position

Source: NHL EDGE

Only 1 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed66th6622.6 mph
Bursts 20+ mph45th4653
Hardest shot73rd7488.5 mph
Offensive-zone time29th3040.7%
Distance skated63rd64168.0 mi
High-danger SOG61st6137
Percentile among position peers│ tick = 3-season weighted

Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among skaters this season; the label at the right is the raw value.

Shot map

2026-27 · 3 attempts, 2 on goal, 0 goals

Shot map, OPP at NYI: 3 attempts, 2 on goal, 0 goals, 0.12 expected goals; best chance Ondrej Palat at 0.10 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Every attempt (goals, shots, misses and blocks), attacking toward the right (or the top on phones).

Luck

2025-26 · 80 GP · 15 points vs 25.3 expected

Luck Meter →
Hold(softened from Buy low by the sustainability check)

Last 20 games: -74. Positive means running hot (sell), negative running cold (buy).

6.0%
97.0
31.9%
G vs xG
5 / 8.8
  • • Role shrank over the last 10 games (TOI down 1:49 a game, PP share 17% → 1%, 1 demotion event): the cold spell may not be all luck.
Goals against expected goals
024681012-3.8goals below expected-1.3σ10/94/14
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among forwards. Each stat links to its explainer.

  • 2026-27 so far: 1 GP, 0 G, 0 A, 0 PPP, 2 SOG.

Fantasy box score

  • Games played80
  • Goals5443rd
  • Assists10464th
  • Points15477th
  • Power-play points2342nd
  • Shorthanded points0227th
  • Shots on goal83378th
  • Hits13396th
  • Blocked shots67175th
  • Plus/minus−11576th
  • Penalty minutes14548th
  • Faceoffs won7329th

Possession & shot quality (5-on-5 on-ice)

Transition, turnovers & faceoffs

Usage

Special teams & discipline

Luck & trend

NHL EDGE tracking

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2025-26 regular season · 74 of 80 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.028
Season net
−0.43xG

5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.

MethodLeaders
Per 60
0.59
Attempts
9
0.041

5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.

MethodLeaders
Season
+1.63G
Per 60
+0.095
Drawn / taken
15 / 7minors

MethodLeaders
48.9%
46.3%
48.8%
Transition CF/60
4.1
Turnovers won/60
20.9
Turnovers lost/60
20.3

5-on-5 while he is on the ice.

MethodLeaders
  • More of his shots than the league
  • Fewer
83 shots on goal, 5 goals, all situations
AreaHis shareLeagueG
Low Slot42%23%5
Center Point4%9%0
R Circle8%12%0
High Slot11%7%0
L Net Side0%3%0
Outside R1%4%0
L Point2%5%0

Role changes

Notable promotions, demotions and ice-time swings from Line Watch

All alerts →

How his goals happened

30 goals since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Jan 28, 2026 vs NYRForecheck turnover—036.9one-timer
Jan 12, 2026 @ MINForecheck turnovercarry030.8one-timer
Jan 12, 2026 @ MINPoint shot—1*36.9—
Dec 1, 2025 vs CBJForecheck turnover—022.0—
Nov 6, 2025 vs MTLReboundcarry017.54-on-3, rebound
Apr 11, 2025 vs PITDeflection—4*49.0deflection
Mar 26, 2025 @ CHIRushcarry166.3—
Feb 23, 2025 @ NSHRebound—057.7rebound
Feb 6, 2025 vs VGKRebound—4*21.1rebound
Jan 29, 2025 vs PHIForecheck turnover—012.9—
Jan 11, 2025 vs TBLDeflection—229.6deflection
Jan 6, 2025 @ SEAOdd-man rushcarry343.13-on-2, one-timer
Dec 28, 2024 @ CARCycle—027.3—
Dec 27, 2024 vs CARDeflectioncarry47.4rebound
Dec 17, 2024 @ STLOdd-man rushcarry1*53.43-on-2
Dec 12, 2024 vs LAKDeflection—212.9—
Dec 10, 2024 vs TORRushcarry068.9—
Nov 12, 2024 @ FLACycleloose157.7one-timer
Nov 7, 2024 vs MTLForecheck turnover—159.2one-timer
Oct 30, 2024 @ VANOdd-man rushcarry35.73-on-2
Apr 6, 2024 @ OTTDeflection—222.7—
Apr 3, 2024 @ NYRCycle—364.1one-timer
Feb 24, 2024 vs MTLReboundcarry054.53-on-2, rebound
Feb 8, 2024 vs CGYDeflectioncarry28.9—
Jan 27, 2024 @ TBLRebound—049.7rebound
Dec 27, 2023 vs CBJRushcarry2*50.1—
Dec 7, 2023 @ SEADeflectionpass1*19.7—
Dec 1, 2023 vs SJSRebound—044.3rebound
Nov 25, 2023 vs BUFOdd-man rushcarry1*69.52-on-1
Nov 18, 2023 vs NYROdd-man rushcarry1*24.85-on-3

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without Palat

TeammatePosGPShareCF% togetherGF% togetherCF% Palat apartCF% mate apart
Casey CizikasC17:0579%56.3%— (0-0)100.0% 1:52100.0% 0:44
Anthony DuclairLW14:4954%70.0%— (0-0)42.9% 4:0850.0% 5:37
Adam PelechD13:5544%50.0%— (0-0)63.6% 5:0284.2% 10:38
Alexander RomanovD13:4442%60.0%— (0-0)57.1% 5:1323.5% 9:05
Ryan PulockD13:2238%44.4%— (0-0)75.0% 5:3516.7% 8:26
Matthew SchaeferD12:4531%60.0%— (0-0)58.3% 6:1282.8% 15:49
Tony DeAngeloD12:4130%100.0%— (0-0)53.3% 6:1658.3% 10:20
Logan StanleyD11:2716%100.0%— (0-0)53.3% 7:3052.0% 9:30
Brayden SchennC11:2616%25.0%— (0-0)69.2% 7:3155.6% 6:53

Game log

1 game in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Sep 30@ TORL 1-2000020100%10:068:57—1:09

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations110:0610:06101050.0%50.0%56010%0.50.740%
Even strength18:578:5710758.8%63.6%5400—0.50.250%
5v518:578:5710758.8%63.6%5400—0.50.250%
Penalty kill11:091:09030.0%0.0%02010%0.00.50%

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27NYI10000020.0%1010:06
2025-26NYI, NJD8051015-1114836.0%1336712:49
2024-25PlayoffsNJD5022+5250.0%15617:40
2024-25NJD77151328-5129615.6%1245813:45
2023-24NJD71112031-93710810.2%924915:39
2022-23PlayoffsNJD12347-661618.8%271116:51
2022-23NJD4981523+567910.1%704415:32
2021-22PlayoffsTBL23111021+10104922.4%641916:59
2021-22TBL77183149+152014312.6%1244216:30
2020-21PlayoffsTBL235813+8104211.9%682316:20
2020-21TBL55153146+12611113.5%824317:27
2019-20TBL69172441+252212813.3%1456116:11
2018-19PlayoffsTBL4101-22425.0%14517:17
2018-19TBL6482634+4201008.0%1043414:53
2017-18PlayoffsTBL176612-123119.4%361415:50
2017-18TBL56112435+16610910.1%804817:00

Ondrej Palat news

Headlines via LineupExperts. Links open the original publisher.

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.