Edgehalla
Alex Ovechkin headshotWashington Capitals logo

Washington Capitals

Alex Ovechkin

#8Left Wing6'3"236 lb

0.0 in 2 days
2025-26 regular season
82
GP
32
G
32
A
64
P
244
SOG
13.1% SH
17:27
TOI/GP

LW · WSH · NHL id 8471214

Alex Ovechkin has played 82 games for the Washington Capitals in 2025-26, scoring 32 goals and 32 assists (64 points) on 244 shots while averaging 17:27 a night (12:13 at even strength, 4:27 on the power play and 0:00 shorthanded). At 5v5 he has skated 86% of his 5v5 minutes with Dylan Strome and 45% with Anthony Beauvillier over the last 10 games, and the Capitals have controlled 50% of shot attempts with Ovechkin on the ice (50-40 in goals, 98% offensive-zone starts). In the Capitals' most recent game against CBJ he was on L2 with Dylan Strome and Anthony Beauvillier and on PP1; dropped to L4 (from L3) in the last game. He is shooting 13.1% this season against 14.4% across the 708 games in our data.

Right now

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

Dropped to L4 (from L3) in the last gameLast 5: L3/PP1 · L3/PP1 · L4/PP1 · L3/PP1 · L4/PP1

Deployment timeline

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

Usage: 20 games, 15:42 average time on ice, PP1 in 20 games, 10 line changes.

PPLine223▼34▼443▲34▼3▲3331▲3▼34▼3▲4▼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, 15:42 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 speed25th2521.6 mph
Bursts 20+ mph19th1912
Hardest shot98th9997.3 mph
Offensive-zone time80th8144.6%
Distance skated75th75194.8 mi
High-danger SOG85th8661
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

Last 10 games · 83 attempts, 38 on goal, 6 goals

Shot map, OPP at WSH: 83 attempts, 38 on goal, 6 goals, 5.27 expected goals; best chance Alex Ovechkin at 0.63 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 · 64 points vs 73.8 expected

Luck Meter →
Hold

Last 20 games: -42. Positive means running hot (sell), negative running cold (buy).

13.1%
103.0
61.5%
G vs xG
32 / 39.0
  • • Role rose over the last 10 games (PP share 76% → 83%, 2 promotion events): some of the heat may be real.
Goals against expected goals
010203040-7.0goals below expected-1.1σ10/84/14
  • 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
  • Goals3233rd
  • Assists32114th
  • Points6470th
  • Power-play points1985th
  • Shorthanded points0227th
  • Shots on goal24417th
  • Hits13495th
  • Blocked shots16630th
  • Plus/minus−5446th
  • Penalty minutes26351st
  • Faceoffs won2418th

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
−0.035
Season net
−0.57xG

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

MethodLeaders
Per 60
1.45
Attempts
24
0.067

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

MethodLeaders
Season
−1.22G
Per 60
−0.051
Drawn / taken
7 / 13minors

MethodLeaders
49.8%
50.3%
49.8%
Transition CF/60
3.8
Turnovers won/60
23.4
Turnovers lost/60
23.2

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

MethodLeaders
  • More of his shots than the league
  • Fewer
244 shots on goal, 32 goals, all situations
AreaHis shareLeagueG
L Circle26%13%4
Outside L10%4%0
R Circle7%12%2
Center Point6%9%2
Low Slot21%23%12
R Net Side1%3%1
L Point4%5%1

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 @ PITRushcarry054.1—
Mar 31, 2026 vs PHIForecheck turnover—022.8—
Mar 31, 2026 vs PHIReboundpass1*26.92-on-1, rebound
Mar 26, 2026 @ UTAPoint shot—141.7—
Mar 26, 2026 @ UTAForecheck turnover—075.6—
Mar 26, 2026 @ UTADeflection—2*16.6—
Mar 22, 2026 vs COLForecheck turnover—2*82.3one-timer
Mar 18, 2026 vs OTTDeflection—127.4deflection
Feb 28, 2026 @ MTLForecheck turnover—127.0one-timer
Feb 28, 2026 @ MTLRebound—028.1rebound
Jan 27, 2026 @ SEAForecheck turnover—045.8one-timer
Jan 23, 2026 @ CGYPoint shot—056.6—
Jan 11, 2026 @ NSHCyclecarry3*77.55-on-3, one-timer
Jan 9, 2026 @ CHIOdd-man rushcarry147.32-on-1
Jan 7, 2026 vs DALRebound—2*76.4one-timer, rebound
Jan 5, 2026 vs ANACycle—0——
Jan 5, 2026 vs ANAForecheck turnover—3*68.8—
Dec 27, 2025 @ NJDForecheck turnover—044.5—
Dec 3, 2025 @ SJSForecheck turnover—044.9—
Dec 3, 2025 @ SJSRebound—1*4.9rebound
Nov 30, 2025 @ NYIOdd-man rushloose019.21-on-0
Nov 26, 2025 vs WPGDeflection—2*44.3deflection
Nov 20, 2025 @ MTLReboundloose046.65-on-0, rebound
Nov 20, 2025 @ MTLOdd-man rushcarry1*67.03-on-1
Nov 20, 2025 @ MTLOff the faceoff—169.5—
Nov 19, 2025 vs EDMDeflection—3*44.9deflection
Nov 17, 2025 vs LAKForecheck turnover—020.0—
Nov 15, 2025 vs NJDForecheck turnover—127.0—
Nov 11, 2025 @ CARDeflection—053.7deflection
Nov 5, 2025 vs STLCycle—3*25.6—
Oct 24, 2025 @ CBJOff the faceoff—061.2—
Oct 17, 2025 vs MINOff the faceoff—045.8—
May 12, 2025 @ CARPoint shot—3*57.6one-timer
Apr 30, 2025 vs MTLOff the faceoff—073.5—
Apr 25, 2025 @ MTLOdd-man rushpass056.82-on-1, one-timer
Apr 21, 2025 vs MTLOdd-man rushpass472.05-on-4
Apr 21, 2025 vs MTLRebound—018.4rebound
Apr 17, 2025 @ PITOdd-man rushcarry1*84.65-on-4, one-timer
Apr 13, 2025 vs CBJRushloose058.6one-timer
Apr 6, 2025 @ NYIOdd-man rushpass072.05-on-2

* 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 Ovechkin

TeammatePosGPShareCF% togetherGF% togetherCF% Ovechkin apartCF% mate apart
Dylan StromeC77702:5371%50.5%61% (39-25)49.2% 227:0945.1% 336:08
Anthony BeauvillierLW70485:2149%51.6%61% (25-16)47.5% 362:5048.1% 486:14
Jakob ChychrunD80422:3243%52.2%61% (25-16)47.7% 543:2451.8% 1049:27
Matt RoyD79324:0133%49.5%63% (19-11)50.2% 635:1649.8% 1041:12
Rasmus SandinD73320:5232%47.3%46% (13-15)52.6% 562:5447.8% 858:01
Martin FehérváryD81262:0226%48.9%60% (15-10)50.4% 718:2546.6% 1015:02
Trevor van RiemsdykD64227:3623%44.6%43% (10-13)51.3% 550:1448.1% 682:31
John CarlsonD52225:1123%55.7%53% (10-9)48.3% 432:0852.7% 649:16
Connor McMichaelC31149:2415%48.6%47% (7-8)51.4% 242:3148.9% 245:38
Aliaksei ProtasC31125:4013%52.9%50% (8-8)48.9% 249:0250.6% 318:13
Justin SourdifRW31119:5712%52.7%38% (3-5)45.9% 256:2748.8% 327:55
Declan ChisholmD2693:539%56.1%78% (7-2)50.7% 211:3845.6% 245:59
Ethen FrankC1763:416%44.2%50% (4-4)50.7% 145:5645.6% 132:37
Nic DowdC2052:555%46.9%50% (1-1)50.1% 204:5545.6% 210:56

Game log

82 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 14@ CBJW 2-1011-14010—18:4811:055:44—
Apr 12vs PITW 3-0011+130510%16:1113:202:00—
Apr 11@ PITW 6-310107000—14:5912:042:40—
Apr 8@ TORW 4-000003000—16:3611:593:59—
Apr 5@ NYRL 1-8000-13020—17:2611:345:52—
Apr 4vs BUFW 6-2022+14010—17:0114:142:47—
Apr 2@ NJDL 3-7000-24040—18:0511:534:22—
Mar 31vs PHIW 6-420203031—15:449:515:03—
Mar 28@ VGKW 5-4011-22000—17:3510:576:30—
Mar 26@ UTAW 7-4303+35010—18:2710:575:46—
Mar 24@ STLL 0-3000-12020—14:318:523:46—
Mar 22vs COLOTL 2-310103220—18:4510:367:42—
Mar 20vs NJDW 2-100004000—13:2911:212:00—
Mar 18vs OTTW 4-1101+13010—12:5710:112:32—
Mar 14vs BOSOTL 2-3000+13010—15:4710:105:37—
Mar 12@ BUFW 2-1000-12012—14:0310:253:38—
Mar 11@ PHIL 1-4011-15020—15:4510:074:08—
Mar 9vs CGYW 7-3000-12000—17:2012:274:53—
Mar 7@ BOSL 1-3000-12020—18:2211:145:40—
Mar 3vs UTAL 2-300004230—18:2513:432:17—

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations821430:4617:271760118159.8%59.5%8305971046860%107.071.299%
Even strength821001:2712:131016100850.2%49.6%454492514155%47.447.198%
5v582991:3912:061005100250.1%49.5%447488504056%46.346.698%
Power play82365:294:276119786.3%84.3%32271401080%44.77.5100%
Penalty kill60:240:04010.0%0.0%0000—0.00.1—
4v472:340:2220100.0%100.0%1000—0.10.0100%
3v3 (OT)77:141:029660.0%61.5%641150%1.10.6100%
5v482353:244:195779785.6%83.5%30471371079%41.37.5100%
5v396:180:42200100.0%100.0%11030100%2.50.0—
6v5, own net empty4142:201:021003872.5%71.1%401641620%5.314.3100%
5v6, opponent net empty2317:070:45173532.7%32.5%81780100%7.61.8—
4v355:471:09140100.0%100.0%7000—0.80.0100%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WSH82323264-52624413.1%1341617:27
2024-25PlayoffsWSH10516063315.2%31317:01
2024-25WSH65442973+151423718.6%1101317:43
2023-24PlayoffsWSH4000-2050.0%12119:35
2023-24WSH79313465-222027211.4%1622719:13
2022-23WSH73423375-164829414.3%1882320:12
2021-22PlayoffsWSH6156-30195.3%30218:33
2021-22WSH77504090+81833415.0%1552520:34
2020-21PlayoffsWSH5224-222010.0%25321:57
2020-21WSH45241842-71218213.2%982319:30
2019-20WSH68481967-123031115.4%1843020:40
2018-19PlayoffsWSH7459-2192218.2%38521:49
2018-19WSH81513889+74033815.1%2234120:55
2017-18PlayoffsWSH24151227+889915.2%811420:44
2017-18WSH82493887+33235513.8%1392120:09

Alex Ovechkin 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.