Edgehalla
Pierre-Luc Dubois headshotWashington Capitals logo

Washington Capitals

Pierre-Luc Dubois

#80Left Wing6'4"218 lb

0.0 in 2 days
2025-26 regular season
29
GP
5
G
14
A
19
P
42
SOG
11.9% SH
16:49
TOI/GP

LW · WSH · NHL id 8479400

Pierre-Luc Dubois has played 29 games for the Washington Capitals in 2025-26, scoring 5 goals and 14 assists (19 points) on 42 shots while averaging 16:49 a night (13:35 at even strength, 2:16 on the power play and 0:11 shorthanded). At 5v5 he has skated 58% of his 5v5 minutes with Connor McMichael and 55% with Tom Wilson over the last 10 games, and the Capitals have controlled 47% of shot attempts with Dubois on the ice (19-18 in goals, 50% offensive-zone starts). In the Capitals' most recent game against PIT he was on L2 with Connor McMichael and Ryan Leonard and on PP2; dropped to L2 (from L1) in the last game. He is shooting 11.9% this season against 12.5% across the 670 games in our data.

Right now

From the Apr 12 game vs PIT, detected from shift data

Dropped to L2 (from L1) in the last gameDemoted to PP2 (from PP1) in the last gameStarted killing penalties in the last gameLast 5: L3/PP1 · L1/PP1 · L3/PP2 · L4 · L2/PP2

Deployment timeline

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

Usage: 20 games, 16:16 average time on ice, PP1 in 11 games, 10 line changes.

PPLine1113▲2▲1▲11▼1▲12▼2▲21▲1▲3▼1▲3▼4▼2▲0m8m17m25mFeb 28Mar 7Mar 11Mar 14Mar 20Mar 24Mar 28Apr 2Apr 5Apr 11
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 16:16 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 speed26th2621.7 mph
Bursts 20+ mph41st4144
Hardest shot56th5686.0 mph
Offensive-zone time52nd5242.2%
Distance skated34th3477.6 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 · 87 attempts, 42 on goal, 5 goals

Shot map, OPP at WSH: 87 attempts, 42 on goal, 5 goals, 4.97 expected goals; best chance Pierre-Luc Dubois at 0.30 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 · 29 GP · 19 points vs 16.1 expected

Luck Meter →
Hold

Last 20 games: +5. Positive means running hot (sell), negative running cold (buy).

11.9%
100.7
67.9%
G vs xG
5 / 4.6
  • • Role shrank over the last 10 games (TOI down 2:15 a game, 5 demotion events): the cold spell may not be all luck.
  • • Shot diet worsened: 0.065 xG per attempt lately vs 0.086 before.
Goals against expected goals
0246+0.4goals above expected0.2σ10/84/12
  • 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 played29
  • Goals5443rd
  • Assists14384th
  • Points19410th
  • Power-play points6237th
  • Shorthanded points0227th
  • Shots on goal42582nd
  • Hits23605th
  • Blocked shots13663rd
  • Plus/minus−4420th
  • Penalty minutes19465th
  • Faceoffs won181142nd

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 · 29 of 29 games through the sequence engine

MethodLeaders
−0.042
Season net
−0.27xG

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

MethodLeaders
Per 100 draws
−0.039
Season
−0.15G
47.3%383 draws

Wins by zone: OZ 69-67 · NZ 56-55 · DZ 56-80

MethodLeaders
Per 60
0.47
Attempts
3
0.033

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

MethodLeaders
Season
+1.53G
Per 60
+0.188
Drawn / taken
12 / 4.5minors

MethodLeaders
51.7%
46.8%
51.6%
Transition CF/60
5.7
Turnovers won/60
22.0
Turnovers lost/60
23.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
42 shots on goal, 5 goals, all situations
AreaHis shareLeagueG
Low Slot33%23%1
High Slot2%7%0
Outside R0%4%0
R Circle17%12%2
R Point2%6%0
L Point2%5%0
L 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
Apr 2, 2026 @ NJDRebound—04.1rebound
Mar 3, 2026 vs UTAOdd-man rushcarry140.94-on-2
Feb 27, 2026 vs VGKForecheck turnovercarry143.02-on-0, one-timer
Feb 27, 2026 vs VGKRushcarry148.4—
Feb 5, 2026 vs NSHRushcarry067.2—
Apr 10, 2025 vs CARDeflectionpass013.14-on-3
Mar 30, 2025 vs BUFDeflection—548.7deflection
Mar 18, 2025 vs DETRushcarry259.0—
Mar 11, 2025 @ ANADeflection—2*16.9—
Mar 5, 2025 @ NYROff the faceoff—040.2—
Mar 3, 2025 vs OTTCycle—2*24.4—
Feb 27, 2025 vs STLRushcarry4*28.6—
Feb 9, 2025 vs UTARebound—08.5rebound
Feb 1, 2025 vs WPGReboundcarry28.5rebound
Jan 28, 2025 @ CGYDump and chasedump015.72-on-0
Jan 25, 2025 @ VANRebound—024.7rebound
Jan 21, 2025 @ EDMReboundcarry057.2rebound
Jan 18, 2025 vs PITOff the faceoff—040.6—
Jan 8, 2025 vs VANForecheck turnovercarry035.32-on-1
Jan 8, 2025 vs VANRebound—018.6rebound
Dec 17, 2024 @ CHIRushloose04.7—
Dec 7, 2024 @ MTLForecheck turnover—2*75.5one-timer
Nov 30, 2024 @ NJDRebounddump039.22-on-1, one-timer, rebound
Nov 21, 2024 vs COLDeflectiondump126.71-on-0, one-timer
Oct 23, 2024 vs PHIRushcarry064.3—
Apr 22, 2024 @ EDMRushcarry021.1—
Apr 13, 2024 vs ANAForecheck turnover—036.2—
Mar 15, 2024 @ CHIRebound—3*63.6rebound
Mar 7, 2024 vs OTTDeflection—05.6—
Feb 20, 2024 vs CBJDump and chasedump1*72.12-on-0
Feb 10, 2024 vs EDMCycle—2*61.6—
Jan 24, 2024 vs BUFCycle—465.4—
Jan 15, 2024 @ CARCycle—05.9—
Jan 13, 2024 @ DETForecheck turnovercarry112.94-on-2, one-timer
Dec 27, 2023 vs SJSRebound—051.9rebound
Dec 23, 2023 vs CGYDeflection—2*43.2—
Nov 18, 2023 vs STLOdd-man rushcarry2*56.03-on-2
Nov 8, 2023 @ VGKRebound—053.9rebound
Oct 19, 2023 @ MINDeflectionloose020.11-on-0
Oct 19, 2023 @ MINRebounddump041.9rebound

* 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 Dubois

TeammatePosGPShareCF% togetherGF% togetherCF% Dubois apartCF% mate apart
Tom WilsonRW25245:3364%48.4%52% (14-13)45.3% 89:4654.7% 99:26
Jakob ChychrunD29160:5742%53.3%56% (10-8)42.1% 220:0948.0% 366:57
Aliaksei ProtasC17148:3239%53.5%80% (8-2)36.0% 82:2853.5% 97:20
Martin FehérváryD29135:5836%38.0%43% (3-4)51.7% 245:0847.0% 332:36
Connor McMichaelC19132:0235%43.5%40% (6-9)50.9% 115:3247.2% 98:53
Matt RoyD29121:4332%52.2%56% (5-4)45.0% 259:2345.1% 359:00
Rasmus SandinD25121:3932%42.4%50% (7-7)45.8% 210:4945.5% 297:56
Trevor van RiemsdykD26108:3228%44.4%62% (8-5)49.3% 238:0251.4% 277:59
Ryan LeonardRW1681:3621%43.1%43% (3-4)52.7% 126:4945.9% 110:02
Hendrix LapierreC541:3011%42.9%50% (3-3)64.0% 26:2656.1% 19:11
Cole HutsonD1241:0011%51.4%60% (3-2)37.7% 119:0148.9% 138:20
John CarlsonD730:518%60.9%33% (1-2)53.6% 54:1555.1% 71:22
Declan ChisholmD723:276%39.6%50% (1-1)51.0% 72:5749.2% 66:56
Alex OvechkinLW1220:135%51.4%33% (1-2)47.9% 151:2547.4% 116:39

Game log

29 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 12vs PITW 3-0011+3200175%16:1814:340:510:02
Apr 11@ PITW 6-30110000025%7:027:02——
Apr 8@ TORW 4-00000101025%14:0512:141:51—
Apr 5@ NYRL 1-8000-3101033%16:4413:343:10—
Apr 4vs BUFW 6-2022+2100054%12:5811:061:52—
Apr 2@ NJDL 3-71120401053%19:0214:192:53—
Mar 31vs PHIW 6-4044+1002040%17:1814:262:100:04
Mar 28@ VGKW 5-4000-1100050%18:1714:483:29—
Mar 26@ UTAW 7-4000-1000147%15:5611:243:11—
Mar 24@ STLL 0-300001151030%15:5013:141:490:07
Mar 22vs COLOTL 2-3000-2201044%24:1020:024:08—
Mar 20vs NJDW 2-1011+1100062%17:2415:131:16—
Mar 18vs OTTW 4-10110100027%17:0515:240:460:11
Mar 14vs BOSOTL 2-30000123056%19:4815:124:180:18
Mar 12@ BUFW 2-10000102145%19:4115:042:570:13
Mar 11@ PHIL 1-4011-2000167%18:1013:223:150:03
Mar 9vs CGYW 7-30000000146%14:3111:432:48—
Mar 7@ BOSL 1-3000-2000050%18:3913:162:380:51
Mar 3vs UTAL 2-3101-1401261%19:0916:230:31—
Feb 28@ MTLL 2-6000-4302071%18:2214:262:440:04

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations29487:5016:4950545952.4%54.5%246206282652%29.225.657%
Even strength29394:0013:3535239747.0%49.2%179182191950%18.617.750%
5v529381:0613:0834538647.2%49.5%177179191851%18.317.150%
Power play2865:312:201091885.8%87.0%57960100%6.40.596%
Penalty kill145:200:23060.0%0.0%0400—0.00.30%
4v4810:451:216650.0%50.0%1000—0.20.140%
3v3 (OT)22:091:051516.7%20.0%13010%0.00.4100%
5v42863:562:171041885.2%86.6%55960100%6.20.596%
4v5145:200:23060.0%0.0%0400—0.00.30%
6v5, own net empty810:211:18251464.1%61.5%75050%1.05.9100%
5v6, opponent net empty1111:381:03142337.8%33.3%353175%3.20.90%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WSH2951419-4194211.9%231316:49
2024-25PlayoffsWSH10033+312130.0%22717:03
2024-25WSH82204666+277614214.1%656217:18
2023-24PlayoffsLAK5101020425.0%24114:50
2023-24LAK82162440-97014611.0%963715:42
2022-23PlayoffsWPG5224-481315.4%21321:00
2022-23WPG73273663+57720513.2%714718:27
2021-22WPG81283260-610623312.0%1124318:55
2020-21PlayoffsWPG7033-38150.0%18417:39
2020-21WPG, CBJ4691221-8387611.8%592615:02
2019-20CBJ70183149-24915811.4%855017:56
2018-19PlayoffsCBJ10235-5142010.0%33717:29
2018-19CBJ82273461+166417415.5%1155217:43
2017-18PlayoffsCBJ6224061513.3%20123:09
2017-18CBJ82202848+84916512.1%1274616:38

Pierre-Luc Dubois 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.