Edgehalla
Anthony Beauvillier headshotWashington Capitals logo

Washington Capitals

Anthony Beauvillier

23.0

#72Left Wing5'11"183 lb

0.0 in 2 days
2025-26 regular season
82
GP
15
G
13
A
28
P
155
SOG
9.7% SH
15:48
TOI/GP

LW · WSH · NHL id 8478463

Anthony Beauvillier has played 82 games for the Washington Capitals in 2025-26, scoring 15 goals and 13 assists (28 points) on 155 shots while averaging 15:48 a night (13:55 at even strength, 0:31 on the power play and 1:09 shorthanded). At 5v5 he has skated 40% of his 5v5 minutes with Dylan Strome and 40% with Justin Sourdif over the last 10 games, and the Capitals have controlled 49% of shot attempts with Beauvillier on the ice (48-46 in goals, 58% offensive-zone starts). In the Capitals' most recent game against CBJ he was on L2 with Alex Ovechkin and Dylan Strome and off the power play; moved up to L1 (from L3) in the last game. He is shooting 9.7% this season against 10.7% across the 690 games in our data.

Right now

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

Power play
No PP unit
Penalty kill
PK2F
Aliaksei Protas
Moved up to L1 (from L3) in the last gameLast 5: L3 · L1 · L1 · L3 · L1

Deployment timeline

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

Usage: 20 games, 15:51 average time on ice, PP1 in 0 games, 13 line changes.

PPLine331▲3▼32▲21▲2▼3▼1▲12▼1▲3▼31▲13▼1▲0m3m7m10m13m17m20mMar 3Mar 9Mar 12Mar 18Mar 22Mar 26Mar 31Apr 4Apr 8Apr 12
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 15:51 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 speed83rd8423.0 mph
Bursts 20+ mph88th88162
Hardest shot44th4484.0 mph
Offensive-zone time13th1439.2%
Distance skated84th85213.2 mi
High-danger SOG92nd9372
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 · 280 attempts, 155 on goal, 15 goals

Shot map, OPP at WSH: 280 attempts, 155 on goal, 15 goals, 18.94 expected goals; best chance Anthony Beauvillier at 0.38 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 · 82 GP · 28 points vs 33.5 expected

Luck Meter →
Hold

Last 20 games: +16. Positive means running hot (sell), negative running cold (buy).

9.7%
100.5
47.5%
G vs xG
15 / 17.2
  • • Role shrank over the last 10 games (PP share 10% → 3%, 2 demotion events): the cold spell may not be all luck.
Goals against expected goals
05101520-2.2goals below expected-0.5σ10/84/14
  • 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 played82
  • Goals15190th
  • Assists13401st
  • Points28315th
  • Power-play points1380th
  • Shorthanded points1111th
  • Shots on goal155140th
  • Hits93199th
  • Blocked shots48269th
  • Plus/minus+7157th
  • Penalty minutes30294th
  • Faceoffs won44230th

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 · 82 of 82 games through the sequence engine

MethodLeaders
−0.019
Season net
−0.35xG

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

MethodLeaders
Per 100 draws
+0.003
Season
+0.00G
50.6%87 draws

Wins by zone: OZ 14-15 · NZ 11-10 · DZ 19-18

MethodLeaders
Per 60
1.44
Attempts
27
0.072

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

MethodLeaders
Season
−0.61G
Per 60
−0.028
Drawn / taken
12 / 15minors

MethodLeaders
48.5%
48.4%
48.6%
Transition CF/60
4.5
Turnovers won/60
21.5
Turnovers lost/60
20.5

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

MethodLeaders
  • More of his shots than the league
  • Fewer
155 shots on goal, 15 goals, all situations
AreaHis shareLeagueG
Low Slot37%23%10
R Point0%6%0
High Slot2%7%0
Center Point4%9%0
L Circle17%13%1
L Net Side7%3%2
L Point2%5%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 14, 2026 @ CBJOdd-man rushcarry235.92-on-0
Mar 28, 2026 @ VGKDeflectioncarry056.52-on-1
Mar 26, 2026 @ UTADeflection—5*35.2deflection
Feb 3, 2026 @ PHIForecheck turnover—024.7—
Feb 2, 2026 vs NYIReboundcarry01.23-on-2, rebound
Jan 24, 2026 @ EDMOdd-man rushcarry258.93-on-2
Jan 9, 2026 @ CHIForecheck turnover—3*26.8one-timer
Dec 31, 2025 vs NYRCyclecarry3*32.7one-timer
Dec 27, 2025 @ NJDDump and chasedump048.83-on-1
Dec 2, 2025 @ LAKDeflectioncarry019.12-on-1, rebound
Nov 28, 2025 vs TOROdd-man rushpass120.93-on-2
Nov 19, 2025 vs EDMOdd-man rushcarry049.52-on-1, one-timer
Nov 5, 2025 vs STLOdd-man rushloose050.93-on-1
Nov 5, 2025 vs STLForecheck turnover—037.4—
Oct 12, 2025 @ NYRDeflection—2*51.5rebound
May 15, 2025 vs CARRushloose017.9—
Apr 21, 2025 vs MTLRushcarry052.0—
Mar 22, 2025 vs FLARushcarry225.4—
Mar 11, 2025 @ ANAOdd-man rushloose039.11-on-0
Mar 1, 2025 vs BOSOdd-man rushcarry174.01-on-0
Feb 8, 2025 @ PHIForecheck turnover—010.2—
Jan 20, 2025 @ LAKRebounddump09.92-on-1, rebound
Jan 17, 2025 @ BUFOdd-man rushpass155.51-on-0
Dec 29, 2024 vs NYIReboundpass4*26.53-on-2, one-timer, rebound
Dec 12, 2024 @ MTLDeflection—16.4deflection
Nov 30, 2024 vs CGYOdd-man rushcarry041.03-on-2
Nov 15, 2024 @ CBJDeflectioncarry04.03-on-2
Nov 13, 2024 vs DETOdd-man rushcarry030.93-on-2
Nov 11, 2024 vs DALRushpass2*51.2—
Oct 26, 2024 @ VANDeflectioncarry344.3deflection
Oct 10, 2024 @ DETRebound—015.8rebound
Oct 10, 2024 @ DETRebound—04.8rebound
Apr 23, 2024 @ VANDeflection—122.1—
Apr 4, 2024 vs STLForecheck turnover—028.4—
Dec 23, 2023 @ STLDeflection—243.8deflection
Dec 9, 2023 vs STLDeflection—2*45.5deflection
Nov 2, 2023 @ SJSCycle—042.5—
Nov 2, 2023 @ SJSForecheck turnover—1*18.1one-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 Beauvillier

TeammatePosGPShareCF% togetherGF% togetherCF% Beauvillier apartCF% mate apart
Dylan StromeC67517:3746%49.2%59% (29-20)48.6% 411:1748.1% 401:28
Alex OvechkinLW70485:2143%51.6%61% (25-16)48.1% 486:1447.5% 362:50
Matt RoyD79402:2036%47.5%50% (18-18)49.6% 679:5150.7% 962:53
Jakob ChychrunD80394:3335%51.1%63% (20-12)47.3% 700:1652.2% 1077:26
Rasmus SandinD72355:2832%48.2%45% (14-17)48.5% 636:2747.1% 807:51
Martin FehérváryD81348:0131%48.8%59% (16-11)48.9% 758:5346.4% 929:03
Trevor van RiemsdykD67281:3325%44.6%35% (8-15)50.6% 642:3348.9% 670:44
John CarlsonD53239:5521%53.9%52% (13-12)49.5% 490:2652.8% 646:15
Justin SourdifRW51205:3218%45.6%67% (10-5)50.8% 507:0652.0% 472:21
Nic DowdC44194:2417%49.2%23% (3-10)50.5% 416:3844.4% 360:11
Ryan LeonardRW47182:3816%43.5%71% (10-4)50.5% 476:2244.3% 371:26
Ethen FrankC26116:4510%52.3%50% (4-4)45.5% 249:0743.8% 180:41
Hendrix LapierreC31103:129%53.1%40% (2-3)48.3% 315:5354.0% 180:39
Declan ChisholmD2697:249%51.0%60% (6-4)50.0% 241:4647.2% 242:28

Game log

82 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 14@ CBJW 2-110103000—16:5015:570:030:50
Apr 12vs PITW 3-0000010210%15:2713:31—1:56
Apr 11@ PITW 6-300001020100%17:5617:56——
Apr 8@ TORW 4-0011+100020%17:1415:01—2:13
Apr 5@ NYRL 1-8000-10200—12:4611:13—1:33
Apr 4vs BUFW 6-2000010000%15:4411:11—4:33
Apr 2@ NJDL 3-7000020010%19:1017:49—1:21
Mar 31vs PHIW 6-4000-1102050%17:1713:22—2:35
Mar 28@ VGKW 5-4101+11010100%19:0715:330:432:43
Mar 26@ UTAW 7-4112+1321267%17:2413:460:362:30
Mar 24@ STLL 0-300002001100%12:349:470:092:38
Mar 22vs COLOTL 2-3000-1001133%16:5314:440:241:34
Mar 20vs NJDW 2-100003020100%17:4915:49—1:52
Mar 18vs OTTW 4-1000+1220150%15:4313:57—1:46
Mar 14vs BOSOTL 2-3000+1040050%14:1112:22—1:49
Mar 12@ BUFW 2-10000100033%14:0712:33—1:34
Mar 11@ PHIL 1-40000001075%14:2713:01—1:21
Mar 9vs CGYW 7-3011+2102160%16:3315:560:37—
Mar 7@ BOSL 1-30000101067%14:259:530:073:59
Mar 3vs UTAL 2-300002003—14:3113:08—1:13

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations821295:2315:481223136947.2%47.8%598636595950%60.568.854%
Even strength821140:4513:551134117349.2%49.8%541541484751%51.053.158%
5v5821123:1213:421113116049.0%49.5%531536484651%49.452.158%
Power play4842:000:53561183.6%81.8%3282250%4.30.9100%
Penalty kill6494:231:28161529.5%10.4%12791910%0.512.012%
4v41612:460:48121348.0%50.0%55010%0.81.043%
3v3 (OT)54:470:5790100.0%100.0%5000—0.80.0100%
5v44842:000:53561183.6%81.8%3282250%4.30.9100%
4v56494:231:28161529.5%10.4%12791910%0.512.012%
6v5, own net empty163:160:128372.7%80.0%611150%0.71.1100%
5v6, opponent net empty2513:080:3282623.5%30.4%6660100%3.31.50%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WSH82151328+7301559.7%934815:48
2024-25PlayoffsWSH10246+12219.5%31413:03
2024-25WSH, PIT81151025+21414910.1%1393612:52
2023-24PlayoffsNSH611202911.1%12013:01
2023-24NSH, CHI, VAN6051217-881054.8%533513:35
2022-23VAN, NYI82182240-102417610.2%783016:16
2021-22NYI75122234-10121547.8%392016:50
2020-21PlayoffsNYI195813-14539.4%28917:41
2020-21NYI47151328+151210913.8%391316:24
2019-20NYI68182139-111513213.6%863617:16
2018-19PlayoffsNYI811200156.7%17111:24
2018-19NYI81181028+1815611.5%873514:39
2017-18NYI71211536+21613215.9%802914:32

Anthony Beauvillier 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.