Edgehalla
Aatu Räty headshotVancouver Canucks logo

Vancouver Canucks

Aatu Räty

#54Center6'2"203 lb

0.0 in 2 days
2025-26 regular season
66
GP
4
G
10
A
14
P
65
SOG
6.2% SH
12:01
TOI/GP

C · VAN · NHL id 8482691

Aatu Räty has played 66 games for the Vancouver Canucks in 2025-26, scoring 4 goals and 10 assists (14 points) on 65 shots while averaging 12:01 a night (10:52 at even strength, 0:06 on the power play and 0:53 shorthanded). At 5v5 he has skated 50% of his 5v5 minutes with Curtis Douglas and 47% with Ty Mueller over the last 10 games, and the Canucks have controlled 48% of shot attempts with Räty on the ice (21-25 in goals, 38% offensive-zone starts). In the Canucks' most recent game against EDM he was on L2 with Curtis Douglas and Ty Mueller and off the power play; moved up to L3 (from L4) in the last game. He is shooting 6.2% this season against 11.3% across the 114 games in our data.

Right now

From the Apr 16 game vs EDM, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Moved up to L3 (from L4) in the last gameLast 5: L4 · L2 · L4 · L4 · L3

Deployment timeline

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

Usage: 20 games, 11:32 average time on ice, PP1 in 0 games, 7 line changes.

PPLine4444443▲4▼3▲34▼444442▲4▼43▲0m3m7m10m13m17mMar 7Mar 12Mar 17Mar 21Mar 26Mar 30Apr 2Apr 7Apr 11Apr 14
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 11:32 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 speed16th1621.3 mph
Bursts 20+ mph25th2520
Hardest shot76th7788.9 mph
Offensive-zone time12th1238.9%
Distance skated48th48125.5 mi
High-danger SOG39th3919
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 · 142 attempts, 65 on goal, 4 goals

Shot map, OPP at VAN: 142 attempts, 65 on goal, 4 goals, 8.93 expected goals; best chance Aatu Räty at 0.58 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 · 66 GP · 14 points vs 18.4 expected

Luck Meter →
Buy low

Last 20 games: -58. Positive means running hot (sell), negative running cold (buy).

6.2%
100.0
60.9%
G vs xG
4 / 8.7
  • • Role rose over the last 10 games (2 promotion events): some of the heat may be real.
Goals against expected goals
024681012-4.7goals below expected-1.6σ10/94/16
  • 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 played66
  • Goals4481st
  • Assists10464th
  • Points14501st
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal65472nd
  • Hits16555th
  • Blocked shots16630th
  • Plus/minus−4420th
  • Penalty minutes22404th
  • Faceoffs won47059th

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 · 66 of 66 games through the sequence engine

MethodLeaders
−0.027
Season net
−0.32xG

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

MethodLeaders
Per 100 draws
+0.127
Season
+0.99G
60.5%777 draws

Wins by zone: OZ 133-88 · NZ 96-65 · DZ 241-154

MethodLeaders
Per 60
0.92
Attempts
11
0.022

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

MethodLeaders
Season
−0.81G
Per 60
−0.062
Drawn / taken
7 / 11minors

MethodLeaders
42.0%
42.9%
41.4%
Transition CF/60
3.4
Turnovers won/60
19.0
Turnovers lost/60
19.3

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

MethodLeaders
  • More of his shots than the league
  • Fewer
65 shots on goal, 4 goals, all situations
AreaHis shareLeagueG
R Circle5%12%0
L Circle18%13%2
High Slot12%7%0
R Net Side0%3%0
Outside R2%4%0
Crease5%3%1
L Net Side5%3%0

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 17, 2026 vs FLAForecheck turnover—022.5—
Dec 6, 2025 vs MINDump and chasedump08.32-on-1
Dec 6, 2025 vs MINOdd-man rushcarry068.32-on-1
Nov 5, 2025 vs CHIOdd-man rushcarry068.02-on-1
Apr 8, 2025 @ DALForecheck turnover—150.9—
Apr 6, 2025 vs VGKReboundcarry018.43-on-2, rebound
Mar 28, 2025 @ CBJRushcarry034.1one-timer
Mar 28, 2025 @ CBJOdd-man rushcarry265.53-on-1
Mar 26, 2025 @ NYIDeflection—1*41.9one-timer
Nov 27, 2024 @ PITRushloose024.0—
Nov 17, 2024 vs NSHDeflection—237.7deflection

* 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 Räty

TeammatePosGPShareCF% togetherGF% togetherCF% Räty apartCF% mate apart
Drew O'ConnorLW37263:5337%47.7%56% (9-7)42.9% 141:1446.2% 194:28
Filip HronekD64255:0836%52.3%47% (9-10)46.1% 437:1149.8% 992:19
Marcus PetterssonD63243:1334%43.7%38% (5-8)50.5% 439:1143.0% 899:49
Tyler MyersD45181:3525%49.9%53% (8-7)50.4% 315:2246.6% 571:47
Tom WillanderD55176:1425%38.4%43% (3-4)50.8% 411:4344.5% 637:02
Evander KaneLW35171:4324%42.4%55% (6-5)53.1% 216:3151.4% 326:12
Elias PetterssonD54170:0324%49.3%60% (9-6)48.0% 413:0242.8% 563:14
Kiefer SherwoodLW23152:3321%52.4%58% (7-5)50.3% 97:0058.5% 132:07
Zeev BuiumD33131:3518%50.8%17% (1-5)42.7% 216:2149.4% 457:19
Nils HoglanderLW20128:5318%50.8%25% (1-3)39.2% 90:2548.6% 88:18
Jake DeBruskLW22118:5917%48.2%56% (5-4)44.9% 118:5042.8% 151:30
Quinn HughesD2189:3713%56.9%50% (3-3)46.7% 134:3055.1% 342:31
Curtis DouglasC1487:4912%50.0%29% (2-5)32.9% 49:2543.9% 27:59
Pierre-Olivier JosephD2582:2912%51.3%40% (2-3)50.3% 199:1048.9% 228:46

Game log

66 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16@ EDML 1-6000+1202131%14:0613:01—1:05
Apr 14vs LAKW 4-3000-1002181%12:0211:05—0:57
Apr 12@ ANAW 4-3011-1300156%10:059:22—0:43
Apr 11@ SJSW 4-30000002047%13:5913:41—0:18
Apr 9@ LAKL 1-40000304041%11:5811:24——
Apr 7vs VGKL 1-2000-1100045%11:5210:11—0:37
Apr 4vs UTAL 4-70000207050%12:0410:42—1:22
Apr 2@ MINL 2-5000-1104079%12:038:41—1:55
Apr 1@ COLW 8-60000103269%11:527:010:332:31
Mar 30@ VGKL 2-40000002186%11:089:54—1:14
Mar 28@ CGYL 3-70000102067%11:509:47—1:37
Mar 26vs LAKL 0-40000003018%12:1010:44—1:26
Mar 24vs ANAL 3-5000-2002064%8:297:42—0:47
Mar 21vs STLL 1-30000004086%12:5711:37—1:04
Mar 19vs TBLL 2-60000006056%13:1612:23—0:53
Mar 17vs FLAW 5-2101+1103082%11:2710:52—0:35
Mar 14vs SEAL 2-50000104067%12:269:490:202:17
Mar 12vs NSHW 4-3000-1301050%10:159:18—0:57
Mar 9vs OTTL 0-2000-1103067%10:258:39—1:46
Mar 7@ WPGOTL 2-30000104050%11:4011:27—0:13

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations66793:2412:0169280546.2%45.6%290370233341%28.543.531%
Even strength66716:4010:5264070247.7%47.0%264315212546%25.235.837%
5v566713:5010:4964070047.8%47.1%264313212546%25.235.738%
Power play166:570:2690100.0%100.0%4000—0.70.0100%
Penalty kill5658:071:02198917.6%20.2%13481614%1.16.30%
5v4166:570:2690100.0%100.0%4000—0.70.0100%
4v55657:361:02198817.8%20.5%13471614%1.16.20%
6v5, own net empty105:440:3417385.0%76.9%72020%0.80.9100%
5v6, opponent net empty114:450:2621115.4%11.1%1510100%0.40.50%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26VAN6641014-422656.2%1651612:01
2024-25VAN337411-1143420.6%80710:39
2022-23VAN, NYI15213041612.5%1958:23

Aatu Räty 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.