Edgehalla
Timothy Liljegren headshotWashington Capitals logo

Washington Capitals

Timothy Liljegren

22.6

#27Defenseman6'1"203 lb

+4.7 in 3 days
2026-27 regular season
1
GP
0
G
0
A
0
P
0
SOG
18:48
TOI/GP

D · WSH · NHL id 8480043

Timothy Liljegren has played 1 game for the Washington Capitals in 2026-27, scoring 0 goals and 0 assists (0 points) on 0 shots while averaging 18:48 a night (15:01 at even strength, 0:00 on the power play and 3:43 shorthanded). At 5v5 he has skated 53% of his 5v5 minutes with Justin Sourdif and 49% with Martin Fehérváry in his only game so far, and the Capitals have controlled 46% of shot attempts with Liljegren on the ice (1-0 in goals, 0% offensive-zone starts). In the Capitals' most recent game against CAR he was on D3 with Martin Fehérváry and off the power play.

Right now

From the Oct 2 game vs CAR, detected from shift data

Power play
No PP unit
Penalty kill
PK2D
Vincent Desharnais
Last 1: D2
Ascension43Steadylast 1 games vs previous 19 (incl. last season), through Oct 2, 2026
  • −1:47 5v5 TOI
  • Top-four D in 0 of last 1 (was 13 of 19)
  • 0 P in last 1 (0.37/GP before)
  • 0% of team PP time (was 9%)

Deployment timeline

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

Usage: 1 games, 18:44 average time on ice, PP1 in 0 games, 0 line changes.

PPLine20m3m7m10m13m17m20mOct 2
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 18:44 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 1 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed84th8522.6 mph
Bursts 20+ mph78th7848
Hardest shot57th5791.7 mph
Offensive-zone time8th838.7%
Distance skated46th46127.4 mi
High-danger SOG59th594
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 · 1 attempts, 0 on goal, 0 goals · dots are equal size until the xG model lands

Shot map, OPP at WSH: 1 attempts, 0 on goal, 0 goals, 0.00 expected goals; best chance Timothy Liljegren at 0.00 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 · 47 GP · 11 points vs 12.4 expected

Luck Meter →
Hold

Last 20 games: +11. Positive means running hot (sell), negative running cold (buy).

2.5%
100.4
29.7%
G vs xG
1 / 2.5
  • • Role shrank over the last 10 games (TOI down 1:45 a game, PP share 13% → 7%, 1 demotion event): the cold spell may not be all luck.
Goals against expected goals
01234-1.5goals below expected-1.0σ10/94/12
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among defencemen. Each stat links to its explainer.

  • 2026-27 so far: 1 GP, 0 G, 0 A, 0 PPP, 0 SOG.

Fantasy box score

  • Games played47
  • Goals1634th
  • Assists10464th
  • Points11548th
  • Power-play points2342nd
  • Shorthanded points0227th
  • Shots on goal40592nd
  • Hits38478th
  • Blocked shots90114th
  • Plus/minus−7501st
  • Penalty minutes29313th
  • Faceoffs won0451st

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 · 46 of 47 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.074
Season net
−0.93xG

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

MethodLeaders
Per 60
0.47
Attempts
6
0.014

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

MethodLeaders
Season
−1.22G
Per 60
−0.079
Drawn / taken
8.5 / 14.5minors

MethodLeaders
44.9%
48.5%
44.9%
Transition CF/60
5.4
Turnovers won/60
21.1
Turnovers lost/60
20.2

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

MethodLeaders
  • More of his shots than the league
  • Fewer
40 shots on goal, 1 goals, all situations
AreaHis shareLeagueG
R Point40%6%1
Low Slot8%23%0
L Circle0%13%0
Center Point15%9%0
L Point0%5%0
Outside R8%4%0
R Net Side0%3%0

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Feb 4, 2026 @ COLOdd-man rushcarry256.13-on-2, one-timer
Mar 4, 2025 @ BUFForecheck turnover—2*5.2—
Mar 1, 2025 @ OTTPoint shot—5*64.4one-timer
Jan 7, 2025 vs VGKPoint shot—4*69.4—
Nov 29, 2024 vs SEACycle—3*30.1one-timer
Nov 25, 2024 vs LAKForecheck turnover—177.2one-timer
Nov 14, 2024 @ NYRPoint shot—129.4—
Mar 14, 2024 @ PHIRushcarry082.0—
Jan 13, 2024 vs COLForecheck turnover—042.8—
Dec 30, 2023 vs CARRushcarry052.4—

* 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 Liljegren

TeammatePosGPShareCF% togetherGF% togetherCF% Liljegren apartCF% mate apart
Justin SourdifC17:4253%50.0%— (0-0)44.4% 6:5350.0% 4:22
Martin FehérváryD17:0849%35.3%— (0-0)66.7% 7:2721.1% 6:22
Boone JennerC16:5547%44.4%— (0-0)47.1% 7:4060.0% 4:40
Anthony BeauvillierLW16:2744%44.4%— (0-0)47.1% 8:0840.0% 5:54
Ryan LeonardRW14:0328%38.5%100% (1-0)53.8% 10:3227.8% 6:49
Jakob ChychrunD13:4225%66.7%100% (1-0)40.0% 10:5352.6% 11:12
Aliaksei ProtasLW12:4919%66.7%— (0-0)40.0% 11:4657.9% 8:44
Tom WilsonRW12:2416%50.0%— (0-0)45.5% 12:1130.0% 6:57
Dylan StromeC12:2316%30.0%100% (1-0)56.3% 12:1228.6% 7:27
Pierre-Luc DuboisLW12:2216%50.0%— (0-0)45.5% 12:1321.4% 7:56
Ilya ProtasLW12:2016%75.0%— (0-0)40.9% 12:1568.8% 8:32
Vincent DesharnaisD12:1816%0.0%— (0-0)48.0% 12:1738.7% 12:51
Jordan KyrouC12:0815%100.0%— (0-0)39.1% 12:2764.7% 8:17
Alex OvechkinLW11:5613%33.3%100% (1-0)50.0% 12:3926.1% 8:01

Linemate and opposition quality

2025-26 · 5v5 · 759 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

46.8%

teammates' average xGF%

16th percentile · higher = stronger linemates

29.2%

opponents' average ice-time share

79th percentile · higher = faces more top-line minutes

Hard minutes: tough opponents with little help from linemates.

QoT averages the season xGF% of Liljegren's 5v5 teammates; QoC averages how much of their team's ice time Liljegren's opponents get, so a high QoC means facing top lines. Both are weighted by time shared on the ice, lean on last season for small samples, and are ranked within forwards or defence.

Game log

1 game in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 2@ CARW 5-2000+10021—18:4815:01—3:43

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations118:4818:48132435.1%42.3%91210100%0.80.90%
Even strength115:0115:01121642.9%45.5%8910100%0.80.50%
5v5114:3514:35121446.2%50.0%8710100%0.80.40%
Penalty kill13:433:431811.1%25.0%1300—0.00.40%
4v513:433:431811.1%25.0%1300—0.00.40%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27WSH1000+100—2118:48
2025-26WSH, SJS4711011-729402.5%389019:51
2024-25SJS, TOR6861117-25381025.9%6411119:12
2023-24PlayoffsTOR6011-120—12517:52
2023-24TOR5532023+316624.8%9211619:40
2022-23PlayoffsTOR5000-1020.0%10515:16
2022-23TOR6761218+2430847.1%1079317:55
2021-22PlayoffsTOR2000+2010.0%4019:28
2021-22TOR6151823+1514796.3%876016:24
2020-21TOR2000+1210.0%3215:06
2019-20TOR11011-5220.0%81010:18

Timothy Liljegren 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.