Edgehalla
Kirill Marchenko headshotToronto Maple Leafs logo

Toronto Maple Leafs

Kirill Marchenko

23.4

#86Right Wing6'3"198 lb

0.0 in 2 days
2026-27 regular season
2
GP
0
G
1
A
1
P
7
SOG
0.0% SH
19:12
TOI/GP

RW · TOR · NHL id 8480893

Kirill Marchenko has played 2 games for the Toronto Maple Leafs in 2026-27, scoring 0 goals and 1 assist (1 points) on 7 shots while averaging 19:12 a night (13:56 at even strength, 4:04 on the power play and 0:00 shorthanded). At 5v5 he has skated 90% of his 5v5 minutes with Auston Matthews and 84% with Jack Roslovic over the last 2 games, and the Maple Leafs have controlled 58% of shot attempts with Marchenko on the ice (1-0 in goals, 83% offensive-zone starts). In the Maple Leafs' most recent game against NYI he was on L1 with Jack Roslovic and Auston Matthews and on PP1. He is shooting 0.0% this season against 13.5% across the 294 games in our data.

Right now

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

Last 2: L1/PP1 · L1/PP1
Ascension58Steadylast 2 games vs previous 20 (incl. last season), through Oct 1, 2026
  • ixG/60 1.59 (was 1.02)
  • 90% of 5v5 TOI with Matthews (was 0%)

Deployment timeline

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

Usage: 2 games, 18:00 average time on ice, PP1 in 2 games, 0 line changes.

PPLine110m3m7m10m13m17m20mSep 29Sep 30
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 18:00 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 2 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed92nd9323.4 mph
Bursts 20+ mph98th99301
Hardest shot74th7588.7 mph
Offensive-zone time73rd7343.9%
Distance skated94th95246.0 mi
High-danger SOG64th6541
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 · 12 attempts, 7 on goal, 0 goals

Shot map, OPP at TOR: 12 attempts, 7 on goal, 0 goals, 1.02 expected goals; best chance Kirill Marchenko at 0.26 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 · 76 GP · 67 points vs 60.4 expected

Luck Meter →
Hold

Last 20 games: -36. Positive means running hot (sell), negative running cold (buy).

12.4%
102.4
71.3%
G vs xG
27 / 28.1
  • • Role rose over the last 10 games (TOI up 1:10 a game, 2 promotion events): some of the heat may be real.
Goals against expected goals
0102030-1.1goals below expected-0.2σ10/94/14
  • 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: 2 GP, 0 G, 1 A, 0 PPP, 7 SOG.

Fantasy box score

  • Games played76
  • Goals2758th
  • Assists4063rd
  • Points6757th
  • Power-play points2350th
  • Shorthanded points1111th
  • Shots on goal21837th
  • Hits61335th
  • Blocked shots40335th
  • Plus/minus+7157th
  • Penalty minutes32262nd
  • Faceoffs won4371st

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 · 76 of 76 games through the sequence engine

MethodLeaders
−0.033
Season net
−0.62xG

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

MethodLeaders
Per 60
1.56
Attempts
29
0.101

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

MethodLeaders
Season
+0.41G
Per 60
+0.017
Drawn / taken
18 / 16minors

MethodLeaders
51.8%
49.6%
52.1%
Transition CF/60
5.0
Turnovers won/60
22.0
Turnovers lost/60
24.7

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

MethodLeaders
  • More of his shots than the league
  • Fewer
218 shots on goal, 27 goals, all situations
AreaHis shareLeagueG
L Circle28%13%10
Low Slot14%23%5
High Slot13%7%5
L Point1%5%0
R Point2%6%0
L Net Side6%3%1
Crease0%3%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
Apr 11, 2026 @ MTLRushcarry260.7—
Mar 31, 2026 vs CARReboundcarry08.2rebound
Mar 14, 2026 @ PHIForecheck turnovercarry058.9—
Mar 10, 2026 @ TBLCycle—06.8—
Mar 2, 2026 @ NYROdd-man rushcarry357.82-on-1
Mar 2, 2026 @ NYRCycleloose5*63.65-on-3, one-timer
Feb 26, 2026 @ BOSOdd-man rushcarry073.21-on-0
Jan 28, 2026 vs PHIOdd-man rushloose1*63.01-on-0, one-timer
Mar 9, 2026 vs LAKForecheck turnover—1*70.7—
Jan 17, 2026 @ PITOdd-man rushloose058.22-on-1
Jan 15, 2026 vs VANForecheck turnover—045.7—
Jan 8, 2026 @ VGKRushloose038.2—
Jan 4, 2026 vs PITForecheck turnovercarry023.1—
Dec 29, 2025 @ OTTOdd-man rushcarry3*61.63-on-1
Dec 28, 2025 vs NYIRushcarry216.4—
Dec 28, 2025 vs NYIOdd-man rushcarry157.81-on-0
Dec 22, 2025 @ LAKCycle—4*63.4—
Dec 6, 2025 @ FLARushcarry049.4—
Dec 4, 2025 vs DETCycle—355.3—
Nov 8, 2025 @ VANRushcarry056.8one-timer
Nov 8, 2025 @ VANReboundpass054.7rebound
Nov 5, 2025 @ CGYDump and chasedump148.11-on-0
Oct 18, 2025 vs TBLRushcarry242.7—
Oct 13, 2025 vs NJDOdd-man rushcarry055.21-on-0
Oct 11, 2025 @ MINForecheck turnover—3*69.9one-timer
Oct 11, 2025 @ MINRushloose476.4—
Oct 11, 2025 @ MINForecheck turnover—039.6—
Apr 1, 2025 vs NSHForecheck turnover—377.1—
Apr 1, 2025 vs NSHForecheck turnoverloose050.54-on-2
Apr 1, 2025 vs NSHForecheck turnover—151.5—
Mar 29, 2025 @ OTTRushcarry268.2—
Mar 28, 2025 vs VANForecheck turnover—1*65.1—
Mar 24, 2025 @ NYIPoint shot—2*77.0—
Mar 11, 2025 @ NJDRushcarry024.8—
Feb 27, 2025 @ DETDeflection—117.6—
Feb 25, 2025 vs DALForecheck turnover—248.5—
Feb 25, 2025 vs DALRebound—054.8rebound
Jan 31, 2025 @ UTADeflectioncarry18.0deflection, rebound
Jan 25, 2025 vs LAKPoint shot—115.8—
Jan 23, 2025 @ CARRushcarry033.7—

* 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 Marchenko

TeammatePosGPShareCF% togetherGF% togetherCF% Marchenko apartCF% mate apart
Auston MatthewsC224:2890%64.1%— (0-0)33.3% 2:4440.0% 3:29
Jack RoslovicC222:5084%67.6%— (0-0)35.7% 4:220.0% 3:35
Morgan RiellyD210:3739%68.4%100% (1-0)51.7% 16:3540.0% 21:25
Darren RaddyshD210:1938%66.7%100% (1-0)50.0% 16:5341.9% 21:41
Chris TanevD210:0737%44.4%— (0-0)66.7% 17:0532.4% 19:44
Jake McCabeD29:0133%50.0%— (0-0)62.5% 18:1144.4% 15:18
Troy StecherD27:4629%50.0%— (0-0)60.0% 19:2638.2% 20:22
Oliver Ekman-LarssonD26:2123%55.6%— (0-0)59.0% 20:5141.9% 21:07
Brandon DuhaimeRW11:235%0.0%— (0-0)68.8% 11:0026.7% 7:55

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Sep 30vs NYIW 2-1000-13240—18:1612:234:43—
Sep 29vs MTLL 2-3011+14020—20:0815:283:25—

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations238:2419:12452762.5%60.3%29111150%2.81.889%
Even strength227:5113:56282157.1%55.0%19910100%1.50.583%
5v5227:1213:36282058.3%56.4%19810100%1.50.483%
Power play28:084:0411284.6%80.0%72010%0.80.2100%
5v428:084:0411284.6%80.0%72010%0.80.2100%
6v5, own net empty22:251:136460.0%62.5%3000—0.41.2—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27TOR20110270.0%6019:12
2025-26CBJ76274067+73221812.4%614018:57
2024-25CBJ79314374+292020715.0%553818:35
2023-24CBJ78231942-51419311.9%553916:25
2022-23CBJ5921425-231613116.0%343916:11

Kirill Marchenko 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.