Edgehalla
Dakota Joshua headshotToronto Maple Leafs logo

Toronto Maple Leafs

Dakota Joshua

#81Center6'3"216 lb

+4.6 in 3 days
2025-26 regular season
55
GP
10
G
8
A
18
P
52
SOG
19.2% SH
12:15
TOI/GP

C · TOR · NHL id 8478057

Dakota Joshua has played 55 games for the Toronto Maple Leafs in 2025-26, scoring 10 goals and 8 assists (18 points) on 52 shots while averaging 12:15 a night (11:15 at even strength, 0:16 on the power play and 0:34 shorthanded). At 5v5 he has skated 56% of his 5v5 minutes with Bo Groulx and 38% with Simon Benoit over the last 10 games, and the Maple Leafs have controlled 44% of shot attempts with Joshua on the ice (27-27 in goals, 23% offensive-zone starts). In the Maple Leafs' most recent game against WSH he was on L3 with Bo Groulx and Nick Robertson and off the power play; dropped to L4 (from L2) in the last game. He is shooting 19.2% this season against 17.5% across the 310 games in our data.

Right now

From the Apr 8 game vs WSH, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Dropped to L4 (from L2) in the last gameLost his PP2 spot in the last gameLast 5: L2/PP2 · L2 · L2 · L3/PP2 · L4

Deployment timeline

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

Usage: 19 games, 11:56 average time on ice, PP1 in 0 games, 5 line changes.

PPLine333332▲4▼33333▼3▲2▲22▼23▲4▼0m3m7m10m13m17mFeb 26Mar 2Mar 5Mar 10Mar 14Mar 17Mar 21Mar 25Mar 30Apr 4
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
19 games shown, 11:56 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 speed14th1521.2 mph
Bursts 20+ mph26th2723
Hardest shot20th2080.0 mph
Offensive-zone time10th1038.5%
Distance skated42nd42106.5 mi
High-danger SOG52nd5331
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 · 93 attempts, 52 on goal, 10 goals

Shot map, OPP at TOR: 93 attempts, 52 on goal, 10 goals, 9.21 expected goals; best chance Dakota Joshua at 0.61 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 · 55 GP · 18 points vs 17.5 expected

Luck Meter →
Hold

Last 20 games: +28. Positive means running hot (sell), negative running cold (buy).

19.2%
102.9
64.3%
G vs xG
10 / 9.3
  • • Role rose over the last 10 games (PP share 1% → 21%, 2 promotion events): some of the heat may be real.
  • • Shot diet improved: 0.141 xG per attempt lately vs 0.106 before (more from the slot).
Goals against expected goals
0510+0.7goals above expected0.2σ10/84/8
  • 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 played55
  • Goals10308th
  • Assists8513th
  • Points18421st
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal52540th
  • Hits19524th
  • Blocked shots32427th
  • Plus/minus−2368th
  • Penalty minutes49115th
  • Faceoffs won6349th

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 · 53 of 55 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.014
Season net
−0.15xG

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

MethodLeaders
Per 100 draws
−0.287
Season
−0.07G
24.0%25 draws

Wins by zone: OZ 2-7 · NZ 2-6 · DZ 2-6

MethodLeaders
Per 60
0.68
Attempts
7
0.045

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

MethodLeaders
Season
−0.81G
Per 60
−0.073
Drawn / taken
20.5 / 24.5minors

MethodLeaders
47.0%
50.5%
47.4%
Transition CF/60
5.3
Turnovers won/60
20.6
Turnovers lost/60
21.5

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

MethodLeaders
  • More of his shots than the league
  • Fewer
52 shots on goal, 10 goals, all situations
AreaHis shareLeagueG
Low Slot52%23%6
R Circle4%12%0
Center Point2%9%0
L Circle8%13%3
R Net Side8%3%0
Outside R0%4%0
R Point2%6%0

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 25, 2026 vs NYROdd-man rushcarry055.53-on-2
Mar 20, 2026 vs CARReboundcarry040.14-on-3, rebound
Mar 14, 2026 @ BUFForecheck turnover—057.0—
Mar 2, 2026 vs PHIRushloose152.7—
Dec 16, 2025 vs CHIRebounddump042.8rebound
Dec 11, 2025 vs SJSDeflection—211.9—
Dec 2, 2025 @ FLARushloose136.6—
Nov 29, 2025 @ PITCycle—07.6—
Oct 25, 2025 vs BUFDeflectioncarry330.13-on-2, deflection
Oct 24, 2025 @ BUFForecheck turnover—029.1—
Apr 10, 2025 @ COLRebound—037.3rebound
Apr 5, 2025 vs ANAForecheck turnover—045.2—
Mar 22, 2025 @ NYRRebound—25.4rebound
Mar 1, 2025 @ SEAOdd-man rushcarry013.42-on-1
Feb 6, 2025 @ SJSDeflectionpass228.74-on-2, deflection
Dec 18, 2024 @ UTARushcarry319.7—
Dec 10, 2024 vs STLRushloose1*29.7one-timer
May 14, 2024 @ EDMDeflection—327.6deflection
May 8, 2024 vs EDMRebound—2*34.4rebound
Apr 21, 2024 vs NSHPoint shot—269.6—
Apr 21, 2024 vs NSHDump and chasedump145.5—
Apr 16, 2024 vs CGYOdd-man rushcarry069.52-on-1
Apr 13, 2024 @ EDMOdd-man rushpass359.12-on-1
Apr 6, 2024 @ LAKDump and chasedump010.8—
Mar 31, 2024 vs ANARebound—042.9one-timer, rebound
Mar 31, 2024 vs ANAForecheck turnover—024.4—
Feb 13, 2024 @ CHIRushcarry016.1—
Jan 18, 2024 vs ARIReboundloose222.13-on-2, rebound
Jan 9, 2024 @ NYIPoint shot—059.2—
Jan 6, 2024 @ NJDRushcarry152.3—
Dec 23, 2023 vs SJSRushcarry255.6—
Dec 21, 2023 @ DALOdd-man rushcarry158.92-on-1
Dec 17, 2023 @ CHIDeflectioncarry134.6deflection
Dec 14, 2023 vs FLARushloose053.2—
Dec 14, 2023 vs FLAForecheck turnover—018.6—
Dec 5, 2023 vs NJDRebound—128.7rebound
Nov 24, 2023 @ SEARebound—022.6rebound
Nov 12, 2023 @ MTLRebound—125.5rebound
Oct 11, 2023 vs EDMOdd-man rushcarry1*20.02-on-1

* 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 Joshua

TeammatePosGPShareCF% togetherGF% togetherCF% Joshua apartCF% mate apart
Nicolas RoyC33280:2145%47.2%56% (14-11)35.6% 93:4038.5% 115:15
Simon BenoitD49224:5336%38.3%44% (4-5)48.9% 323:5738.9% 512:15
Jake McCabeD55213:5735%45.0%68% (15-7)43.5% 404:2443.6% 774:47
Oliver Ekman-LarssonD50186:1730%46.0%61% (11-7)42.6% 377:1247.2% 664:31
Morgan RiellyD52178:2129%48.7%33% (5-10)41.7% 405:3147.2% 714:09
Brandon CarloD36130:2521%42.6%27% (3-8)43.6% 272:2342.9% 449:50
Matias MaccelliLW20130:1121%40.3%67% (8-4)47.3% 92:5242.9% 92:50
Troy StecherD32130:1021%44.6%56% (9-7)41.0% 235:2745.0% 407:17
Nick RobertsonLW18123:4520%45.8%36% (5-9)44.1% 76:2130.5% 82:40
Philippe MyersD29100:1916%42.4%40% (4-6)45.7% 227:5442.7% 294:43
Bobby McMannC1591:0515%42.2%100% (6-0)37.6% 79:0954.0% 91:25
Bo GroulxC1282:5813%37.4%56% (5-4)50.6% 44:4027.0% 60:33
Max DomiC1981:3613%45.0%14% (1-6)44.7% 142:1544.1% 129:57
Steven LorentzC1475:5312%44.9%50% (2-2)44.4% 87:2547.7% 65:16

Linemate and opposition quality

2025-26 · 5v5 · 618 min on ice · ranked against 510 forwards

45.6%

9th percentile · higher = stronger linemates

50.0%

58th percentile · higher = tougher opponents

Plays with weaker-than-usual linemates.

Each value is the ice-time-weighted average season xGF% of the skaters Joshua shared the 5v5 ice with. Small samples lean on each skater's previous season (or 50% for newcomers). Most skaters land between about 45% and 55% for QoT and 49% and 51% for QoC, so the percentile is the easier read.

Game log

55 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 8vs WSHL 0-400001020100%8:307:241:06—
Apr 4@ LAKOTL 6-7011+10210—10:389:021:20—
Apr 2@ SJSL 1-4000-22440—14:2913:58——
Mar 30@ ANAW 5-400000050—14:2014:10——
Mar 28@ STLL 1-501101030—15:0313:151:48—
Mar 25vs NYRW 4-3112+11261—14:3113:051:26—
Mar 24@ BOSW 4-20000572033%12:589:393:19—
Mar 21@ OTTL 2-5000-200300%10:4710:47——
Mar 20vs CAROTL 3-4101+120100%11:2510:530:32—
Mar 17vs NYIL 1-3000002600%11:269:541:32—
Mar 15@ MINW 4-2000020400%11:5110:090:54—
Mar 14@ BUFOTL 2-3101+11560—11:589:411:220:55
Mar 10@ MTLL 1-300001011—8:568:56——
Mar 7vs TBLL 2-5000+10040—14:0613:230:02—
Mar 5@ NYRL 2-6000-31082—13:2712:40——
Mar 4@ NJDOTL 3-4011+11231—11:1911:19——
Mar 2vs PHIOTL 2-3101+11031100%11:2111:21——
Feb 28vs OTTL 2-500001030—12:0010:52—1:08
Feb 26@ FLAL 1-500000030—11:0110:590:02—
Dec 28@ DETOTL 2-300002021—12:2312:23——

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations55673:3912:1555372743.2%42.2%249353283346%26.132.325%
Even strength55618:3111:1551465444.0%43.4%233312272750%22.825.623%
5v555618:2111:1551465344.0%43.5%233312272750%22.825.423%
Power play1914:130:4519482.6%71.4%8200—1.10.275%
Penalty kill2631:261:134546.9%6.7%332030%0.04.20%
5v41914:130:4519482.6%71.4%8200—1.10.275%
4v52631:261:134546.9%6.7%332030%0.04.20%
6v5, own net empty103:400:228372.7%75.0%42020%0.51.5100%
5v6, opponent net empty75:370:4851229.4%30.8%151150%1.60.9—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26TOR5510818-2495219.2%1953212:15
2024-25VAN577714-13385213.5%1932912:58
2023-24PlayoffsVAN13448+110944.4%74715:49
2023-24VAN63181432+19608421.4%2444014:23
2022-23VAN79111223-16607115.5%2223011:31
2021-22PlayoffsSTL1000000—208:36
2021-22STL30358+616319.7%77108:30
2020-21STL12101-37911.1%2328:58

Dakota Joshua 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.