Edgehalla
Emil Lilleberg headshotTampa Bay Lightning logo

Tampa Bay Lightning

Emil Lilleberg

#78DefensemanShoots L6'3"209 lb

+4.7 in 4 days
2026-27 regular season
1
GP
0
G
1
A
1
P
1
SOG
0.0% SH
10:30
TOI/GP

D · TBL · NHL id 8482929

Emil Lilleberg has played 1 game for the Tampa Bay Lightning in 2026-27, scoring 0 goals and 1 assist (1 points) on 1 shots while averaging 10:30 a night (9:51 at even strength, 0:00 on the power play and 0:39 shorthanded). At 5v5 he has skated 53% of his 5v5 minutes with Anthony Cirelli and 50% with Brandon Hagel in his only game so far, and the Lightning have controlled 69% of shot attempts with Lilleberg on the ice (1-1 in goals, 50% offensive-zone starts). In the Lightning's most recent game against WSH he was on D3 with Charle-Edouard D'Astous and off the power play.

Right now

From the Oct 3 game vs WSH, detected from shift data

Power play
No PP unit
Penalty kill
PK2D
J.J. Moser
Last 1: D3
Ascension48Steadylast 1 games vs previous 18 (incl. last season), through Oct 3, 2026
  • −6:45 TOI a game
  • Top-four D in 0 of last 1 (was 13 of 18)

Deployment timeline

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

Usage: 1 games, 10:30 average time on ice, PP1 in 0 games, 0 line changes.

PPLine30m3m7m10m13mOct 3
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 10:30 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 speed54th5421.8 mph
Bursts 20+ mph63rd6432
Hardest shot45th4589.7 mph
Offensive-zone time31st3140.4%
Distance skated44th45119.5 mi
High-danger SOG64th655
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, 1 on goal, 0 goals

Shot map, OPP at TBL: 1 attempts, 1 on goal, 0 goals, 0.08 expected goals; best chance Emil Lilleberg at 0.08 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 · 50 GP · 12 points vs 13.6 expected

Luck Meter →
Hold

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

9.3%
103.1
27.3%
G vs xG
4 / 2.4
  • • Role rose over the last 10 games (TOI up 1:58 a game, 2 promotion events): some of the heat may be real.
Goals against expected goals
01234+1.6goals above expected1.0σ10/94/15
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Shots on goal projection

Oct 5 vs PHI · projected 15:31 TOI · 5v5 matchup +3%

Expected SOG
0.83
2+ SOG
20%
3+ SOG
6%
4+ SOG
1%

Every skater's shots on goal projection for Oct 5 →

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, 1 A, 0 PPP, 1 SOG.

Fantasy box score

  • Games played50
  • Goals4481st
  • Assists8513th
  • Points12531st
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal43574th
  • Hits96190th
  • Blocked shots45288th
  • Plus/minus+1572nd
  • Penalty minutes6168th
  • 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 · 49 of 50 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.067
Season net
−0.85xG

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

MethodLeaders
Per 60
0.63
Attempts
8
0.007

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

MethodLeaders
Season
−1.43G
Per 60
−0.099
Drawn / taken
23.5 / 30.5minors

MethodLeaders
53.0%
54.3%
54.0%
Transition CF/60
5.0
Turnovers won/60
19.9
Turnovers lost/60
21.4

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

MethodLeaders
  • More of his shots than the league
  • Fewer
43 shots on goal, 4 goals, all situations
AreaHis shareLeagueG
L Point21%5%0
R Point21%6%0
Low Slot9%23%2
Center Point19%9%0
R Circle5%12%0
L Circle7%13%1
High Slot2%7%1

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 11, 2026 @ BOSRebound—033.7rebound
Mar 28, 2026 vs OTTOdd-man rushpass121.64-on-2
Nov 15, 2025 @ FLAOff the faceoff—160.1—
Nov 8, 2025 vs WSHRushcarry031.1one-timer
Apr 13, 2025 vs BUFOdd-man rushcarry160.03-on-2, one-timer

* 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 Lilleberg

TeammatePosGPShareCF% togetherGF% togetherCF% Lilleberg apartCF% mate apart
Anthony CirelliC14:3953%88.9%— (0-0)42.9% 4:0944.4% 6:42
Brandon HagelLW14:2450%88.9%100% (1-0)42.9% 4:2447.4% 5:59
Jake GuentzelC14:0045%85.7%100% (1-0)55.6% 4:4847.8% 8:28
Charle-Edouard D'AstousD13:5244%66.7%50% (1-1)71.4% 4:5622.2% 6:19
Pontus HolmbergRW13:0936%40.0%— (0-0)81.8% 5:3952.6% 11:11
Conor GeekieC12:2027%50.0%0% (0-1)75.0% 6:2875.0% 5:46
Jeffrey VielLW12:0323%50.0%0% (0-1)75.0% 6:4550.0% 5:31
Ryan McDonaghD11:5121%66.7%— (0-0)69.2% 6:5734.8% 11:09
Victor HedmanD11:4720%66.7%— (0-0)69.2% 7:0153.6% 8:35
Ilya MikheyevRW11:4420%33.3%— (0-0)76.9% 7:0450.0% 10:41
J.J. MoserD11:2316%100.0%— (0-0)66.7% 7:2563.2% 13:32
Gage GoncalvesC11:1614%50.0%0% (0-1)71.4% 7:3244.0% 13:54
Zemgus GirgensonsC11:0212%0.0%— (0-0)78.6% 7:4644.0% 11:37

Linemate and opposition quality

2025-26 · 5v5 · 761 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

53.8%

teammates' average xGF%

88th percentile · higher = stronger linemates

28.6%

opponents' average ice-time share

40th percentile · higher = faces more top-line minutes

Plays with stronger-than-usual linemates.

QoT averages the season xGF% of Lilleberg's 5v5 teammates; QoC averages how much of their team's ice time Lilleberg'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.

Usage by score state

2026-27, 1 game, topped up with last season.

Leading
16.8
min per 60
Tied
17.2
min per 60
Trailing
16.7
min per 60

Lilleberg's ice time barely changes with the score. Power play: 0.0 min per 60 trailing, against 0.0 leading.

Garbage time: 0 of 1 points (0%) came with the team up or down 3+. League garbage-time table

Next game vs PHI (2026-10-05): team win probability ≈60%, projected 17:03 TOI. Game-script forecast

Game log

1 game in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 3vs WSHW 3-101101530—10:309:51—0:39

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations110:3010:3012860.0%53.3%741150%0.70.350%
Even strength19:519:5112860.0%53.3%741150%0.70.350%
5v518:488:4811568.8%58.3%631150%0.60.250%
Penalty kill10:390:3900——0000—0.00.0—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27TBL10110510.0%3010:30
2025-26PlayoffsTBL7000-4430.0%18516:43
2025-26TBL504812+1561439.3%964517:18
2024-25PlayoffsTBL50110410.0%8511:58
2024-25TBL7611819-1105462.2%1146115:17
2023-24PlayoffsTBL5000-3250.0%14417:25
2023-24TBL37055-1516310.0%1054816:12

Emil Lilleberg 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.