Edgehalla
Mathew Barzal headshotNew York Islanders logo

New York Islanders

Mathew Barzal

#13Center6'1"190 lb

0.0 in 2 days
2025-26 regular season
81
GP
19
G
53
A
72
P
184
SOG
10.3% SH
20:39
TOI/GP

C · NYI · NHL id 8478445

Mathew Barzal has played 81 games for the New York Islanders in 2025-26, scoring 19 goals and 53 assists (72 points) on 184 shots while averaging 20:39 a night (16:00 at even strength, 3:23 on the power play and 0:02 shorthanded). At 5v5 he has skated 71% of his 5v5 minutes with Brayden Schenn and 57% with Calum Ritchie over the last 10 games, and the Islanders have controlled 52% of shot attempts with Barzal on the ice (57-48 in goals, 62% offensive-zone starts). In the Islanders' most recent game against CAR he was on L1 with Brayden Schenn and Calum Ritchie and on PP1. He is shooting 10.3% this season against 10.6% across the 647 games in our data.

Right now

From the Apr 14 game vs CAR, detected from shift data

Last 5: L2/PP1 · L1/PP1 · L1/PP1 · L1/PP1 · L1/PP1

Deployment timeline

2025-26 · per-game ice time by strength, with line and power-play unit changes

Usage: 20 games, 18:39 average time on ice, PP1 in 20 games, 6 line changes.

PPLine11111112▼21▲12▼1▲112▼1▲1110m8m17m25mMar 5Mar 10Mar 14Mar 19Mar 22Mar 26Mar 30Apr 3Apr 9Apr 12
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 18:39 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
Top speed62nd6322.5 mph
Bursts 20+ mph98th99313
Hardest shot43rd4383.9 mph
Offensive-zone time89th8945.4%
Distance skated98th99274.3 mi
High-danger SOG76th7652
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

2025-26 · 380 attempts, 184 on goal, 19 goals

Shot map, OPP at NYI: 380 attempts, 184 on goal, 19 goals, 22.79 expected goals; best chance Mathew Barzal at 0.71 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 · 81 GP · 72 points vs 76.8 expected

Luck Meter →
Hold

Last 20 games: -61. Positive means running hot (sell), negative running cold (buy).

10.3%
100.6
64.3%
G vs xG
19 / 21.4
  • • Role rose over the last 10 games (1 promotion event): some of the heat may be real.
Goals against expected goals
0510152025-2.4goals below expected-0.5σ10/94/14
  • 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.

Fantasy box score

  • Games played81
  • Goals19136th
  • Assists5322nd
  • Points7246th
  • Power-play points2076th
  • Shorthanded points0227th
  • Shots on goal18473rd
  • Hits29553rd
  • Blocked shots50259th
  • Plus/minus+10123rd
  • Penalty minutes6168th
  • Faceoffs won210128th

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 · 81 of 81 games through the sequence engine

MethodLeaders
−0.021
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 100 draws
−0.102
Season
−0.54G
39.8%528 draws

Wins by zone: OZ 70-110 · NZ 85-130 · DZ 55-78

MethodLeaders
Per 60
0.78
Attempts
16
0.067

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

MethodLeaders
Season
−0.10G
Per 60
−0.004
Drawn / taken
30 / 30.5minors

MethodLeaders
51.3%
48.8%
50.9%
Transition CF/60
3.6
Turnovers won/60
21.1
Turnovers lost/60
19.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
184 shots on goal, 19 goals, all situations
AreaHis shareLeagueG
L Circle22%13%4
R Circle8%12%0
R Point2%6%0
L Point3%5%0
R Net Side5%3%1
High Slot5%7%1
R Corner2%0%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 30, 2026 vs PITOdd-man rushloose046.91-on-0
Mar 10, 2026 @ STLOdd-man rushcarry147.93-on-2
Feb 5, 2026 @ NJDRushcarry055.8—
Feb 3, 2026 vs PITOdd-man rushcarry170.43-on-2, one-timer
Feb 2, 2026 @ WSHForecheck turnovercarry035.3—
Jan 31, 2026 vs NSHCycle—4*6.9—
Jan 28, 2026 vs NYRForecheck turnover—065.6one-timer
Jan 26, 2026 @ PHIDeflection—054.0deflection
Jan 6, 2026 vs NJDForecheck turnover—4*50.7one-timer
Dec 20, 2025 @ BUFRebound—024.3rebound
Dec 7, 2025 @ FLAForecheck turnover—2*23.9—
Dec 4, 2025 vs COLCycle—2*32.3—
Nov 26, 2025 vs BOSCycle—3*9.1—
Nov 20, 2025 @ DETForecheck turnoverloose053.1—
Nov 13, 2025 @ VGKForecheck turnover—161.1one-timer
Nov 10, 2025 @ NJDOdd-man rushpass041.02-on-1
Oct 31, 2025 @ WSHPoint shot—046.8—
Oct 23, 2025 vs DETOdd-man rushloose041.34-on-2
Oct 16, 2025 vs EDMOdd-man rushcarry027.91-on-0
Jan 18, 2025 vs SJSRushcarry017.1—
Jan 16, 2025 vs PHIOdd-man rushcarry057.43-on-1
Jan 11, 2025 @ UTARebound—052.7rebound
Dec 21, 2024 @ TORPoint shot—142.9—
Oct 29, 2024 vs ANAForecheck turnover—051.1one-timer
Oct 14, 2024 @ COLPoint shot—165.4—
Apr 27, 2024 vs CARDeflection—146.8deflection, rebound
Apr 27, 2024 vs CARDeflectioncarry152.2deflection
Mar 28, 2024 @ FLADeflectiondump033.6deflection
Mar 23, 2024 vs WPGForecheck turnover—04.7—
Mar 7, 2024 @ SJSForecheck turnover—044.3—
Mar 5, 2024 vs STLOdd-man rushcarry224.21-on-0
Feb 29, 2024 @ DETRebound—09.5rebound
Feb 20, 2024 @ PITOdd-man rushcarry055.02-on-0
Feb 18, 2024 vs NYRDeflectioncarry024.34-on-2, deflection
Feb 8, 2024 vs TBLOff the faceoff—041.7—
Feb 5, 2024 @ TORReboundcarry049.0rebound
Jan 25, 2024 @ MTLCycle—2*52.0—
Jan 11, 2024 vs TORDeflection—016.4—
Jan 6, 2024 @ VGKCyclecarry128.1—
Dec 13, 2023 vs ANAForecheck turnover—3*59.7one-timer

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

Linemates

2025-26 · 5v5 time together and how each pairing performs with and without Barzal

TeammatePosGPShareCF% togetherGF% togetherCF% Barzal apartCF% mate apart
Matthew SchaeferD81531:0043%51.1%51% (23-22)52.1% 705:2949.5% 956:47
Adam PelechD80464:1538%56.3%58% (22-16)48.7% 758:4351.9% 931:28
Ryan PulockD75439:3536%47.9%60% (21-14)53.2% 717:4246.4% 832:45
Tony DeAngeloD75438:1335%53.3%57% (23-17)51.5% 713:1451.7% 812:41
Anders LeeC51375:0930%54.1%54% (19-16)51.0% 421:4947.4% 283:50
Scott MayfieldD79285:4923%50.6%48% (12-13)52.0% 918:1944.0% 863:22
Bo HorvatC30283:4223%55.6%53% (17-15)53.0% 179:5346.5% 145:06
Jonathan DrouinLW34269:3922%52.5%44% (7-9)50.1% 274:4949.3% 186:58
Anthony DuclairLW36265:1521%48.0%60% (12-8)53.6% 296:0841.3% 184:37
Emil HeinemanLW43264:1321%54.6%50% (10-10)51.4% 421:4250.9% 321:06
Simon HolmstromRW31173:0114%53.0%69% (11-5)49.1% 307:3444.8% 235:08
Brayden SchennC16138:1111%52.5%38% (5-8)57.8% 97:2935.6% 57:29
Kyle PalmieriC17126:0810%47.3%83% (5-1)50.8% 138:3751.0% 99:57
Calum RitchieC14111:459%49.8%45% (5-6)60.6% 93:1248.3% 50:15

Game log

81 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 14vs CARL 1-2011+1300025%19:5514:002:24—
Apr 12vs MTLL 1-4000-140010%22:4016:313:06—
Apr 11vs OTTL 0-3000-1100133%22:4912:457:09—
Apr 9vs TORW 5-3011040010%21:3613:545:29—
Apr 4@ CARL 3-4011-22002—16:3012:281:14—
Apr 3vs PHIL 1-4011-11000100%24:0613:505:13—
Mar 31@ BUFL 3-4011030000%20:2415:162:50—
Mar 30vs PITL 3-8112-23201100%18:2116:481:33—
Mar 28vs FLAW 5-2000+1200050%17:5213:332:56—
Mar 26vs DALW 2-1000+11010—17:4814:133:35—
Mar 24vs CHIL 3-401105000—19:3215:391:39—
Mar 22vs CBJW 1-000001000—17:3913:314:08—
Mar 21@ MTLL 3-7011-241420—18:2414:312:51—
Mar 19@ OTTL 2-3000+10000—21:4817:064:36—
Mar 17@ TORW 3-1033+11001—18:3113:544:05—
Mar 14vs CGYW 3-200004002—19:0715:501:41—
Mar 13vs LAKL 2-3000+13010—24:5618:393:47—
Mar 10@ STLW 4-3123+14000—21:2116:264:18—
Mar 7@ SJSW 2-1011030210%24:2319:584:25—
Mar 5@ LAKL 3-5011-13003—23:1613:233:44—

Season splits by strength

2025-26 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations811673:3520:402003139059.0%59.2%9826431127062%116.885.773%
Even strength811296:2416:001349123852.1%52.4%652572635056%67.661.663%
5v5811236:2915:161289120851.6%51.7%616557574854%62.259.962%
Power play79273:513:284575090.1%88.1%2334131684%34.13.898%
Penalty kill192:140:0720100.0%100.0%2000—0.20.050%
4v43127:530:54301566.7%68.4%1681233%1.80.686%
3v3 (OT)1932:021:41301566.7%69.4%20750100%3.61.167%
5v479260:473:184325089.6%87.5%2204128682%30.83.898%
4v5192:140:0720100.0%100.0%2000—0.20.050%
5v388:161:02190100.0%100.0%11020100%3.00.0100%
6v5, own net empty4673:301:361595674.0%75.6%8211141156%9.516.9100%
5v6, opponent net empty2519:290:47164128.1%29.3%3173350%4.32.20%
4v374:480:4160100.0%100.0%2010100%0.20.0100%
6v4, own net empty86:140:4718290.0%87.5%9010100%1.01.1—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26NYI81195372+106118410.3%295020:39
2024-25NYI3061420+104787.7%242420:21
2023-24PlayoffsNYI5235-141513.3%5321:08
2023-24NYI80235780-4342409.6%545220:08
2022-23PlayoffsNYI6202-121414.3%4317:07
2022-23NYI58143751+52213910.1%253418:43
2021-22NYI73154459-15181619.3%361718:01
2020-21PlayoffsNYI1968140194413.6%13917:22
2020-21NYI55172845+154813412.7%221318:43
2019-20NYI68194160+54417111.1%224320:03
2018-19PlayoffsNYI8257+28258.0%8416:48
2018-19NYI82184462-54617910.1%255617:55
2017-18NYI82226385+13017012.9%213117:46

Mathew Barzal 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.