Edgehalla
Lucas Carlsson headshotSan Jose Sharks logo

San Jose Sharks

Lucas Carlsson

#36Defenseman

2024-25 regular season
13
GP
1
G
3
A
4
P
15
SOG
6.7% SH
19:22
TOI/GP

D · SJS · NHL id 8479523

Lucas Carlsson has played 13 games for the San Jose Sharks in 2024-25, scoring 1 goal and 3 assists (4 points) on 15 shots while averaging 19:22 a night (16:38 at even strength, 0:34 on the power play and 1:47 shorthanded). At 5v5 the Sharks have controlled 44% of shot attempts with Carlsson on the ice (10-11 in goals, 38% offensive-zone starts). In the Sharks' most recent game against EDM he was on D1 with Jan Rutta and on PP2; promoted to PP1 (from PP2) in the last game. He is shooting 6.7% this season against 5.6% across the 73 games in our data.

Right now

From the Apr 16 game vs EDM, detected from shift data

Promoted to PP1 (from PP2) in the last gameLast 5: D2 · D2/PP2 · D2/PP2 · D2 · D2/PP1

Deployment timeline

2024-25 · per-game ice time by strength, with line and power-play unit changes

Usage: 13 games, 18:59 average time on ice, PP1 in 1 games, 4 line changes.

PPLine2223▲2▲3▼2▲22▼2▲22▼2▲0m8m17m25mMar 22Mar 27Mar 29Mar 30Apr 1Apr 3Apr 5Apr 7Apr 9Apr 11Apr 13Apr 14Apr 16
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
13 games shown, 18:59 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2024-25 percentiles among skaters at his position

Source: NHL EDGE

Only 13 GP in 2024-25: NHL EDGE percentiles are noisy before about 15-20 games.

Top speed64th6522.1 mph
Bursts 20+ mph21st215
Hardest shot72nd7393.9 mph
Offensive-zone time33rd3440.6%
Distance skated21st2134.7 mi
High-danger SOG25th251
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

2024-25 · 40 attempts, 15 on goal, 1 goal

Shot map, OPP at SJS: 40 attempts, 15 on goal, 1 goal, 1.27 expected goals; best chance Lucas Carlsson at 0.37 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).

Puck luck

2024-25 · cumulative goals against expected goals from his own shots

00.511.52-0.3goals below expected-0.3σMar 22Apr 16
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2024-25 regular season · 13 of 13 games through the sequence engine

MethodLeaders
−0.015
Season net
−0.05xG

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

MethodLeaders
Per 60
0.00
Attempts
0
0.000

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

MethodLeaders
Season
−1.32G
Per 60
−0.315
Drawn / taken
0 / 7minors

MethodLeaders
46.0%
42.5%
45.8%
Transition CF/60
4.5
Turnovers won/60
18.0
Turnovers lost/60
15.2

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

MethodLeaders
  • More of his shots than the league
  • Fewer
15 shots on goal, 1 goals, all situations
AreaHis shareLeagueG
L Point27%6%0
Outside L20%5%0
Low Slot7%21%1
R Circle0%13%0
L Net Side13%3%0
L Circle20%13%0
High Slot0%7%0

Role changes

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

All alerts →

How the goals happened

1 goal since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 22, 2025 vs BOSCycle—114.6—

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2024-25 · 5v5 time together and how each pairing performs with and without Carlsson

No 5v5 pairing data this season yet.

Linemate and opposition quality

2024-25 · 5v5 · 212:49 on ice · ranked against 274 defencemen

Quality of teammates (QoT)44.8%

9th percentile · higher = stronger linemates

Quality of competition (QoC)49.6%

20th percentile · higher = tougher opponents

Sheltered minutes: mostly faces weaker opposition.

Each value is the ice-time-weighted average season xGF% of the skaters Carlsson shared the 5v5 ice with, each shrunk toward 50%. Most skaters land between about 45% and 55% for QoT and 49% and 51% for QoC, so the percentile is the easier read.

Game log

13 games in 2024-25, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16vs EDML 0-3000-20010—20:1817:431:051:21
Apr 14@ VANOTL 1-200001002—19:2514:570:084:02
Apr 13@ CGYL 2-5011+21001—20:4217:521:291:21
Apr 11@ EDML 2-4000+11001—21:3115:201:363:12
Apr 9@ MINOTL 7-800001204—19:4219:13—0:29
Apr 7vs CGYL 2-3000+12200—18:3716:131:16—
Apr 5vs SEAL 1-5000-21410—18:3816:240:511:23
Apr 3vs EDML 2-3000-22001—14:4213:210:050:27
Apr 1@ ANAOTL 3-400001013—23:4620:31—3:15
Mar 30@ LAKL 1-8000-31001—19:2413:470:424:55
Mar 29vs NYRL 1-6000-11200—18:5018:50——
Mar 27vs TORW 6-5011+21400—17:5016:25—0:49
Mar 22vs BOSW 3-1112+22011—18:1815:380:101:57

Season splits by strength

2024-25 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations13251:4319:2223331742.4%41.9%107144111444%11.716.240%
Even strength13216:1416:3820826643.9%43.1%97118101245%9.512.239%
5v513212:4916:2220526044.1%43.5%96115101148%9.411.238%
Power play97:220:4911191.7%88.9%4100—0.60.0100%
Penalty kill1123:112:0654310.4%11.8%324010%0.23.514%
4v432:350:522433.3%25.0%12010%0.10.9100%
5v497:220:4911191.7%88.9%4100—0.60.0100%
4v51120:551:5453412.8%14.8%319010%0.22.317%
6v5, own net empty32:060:427187.5%75.0%21010%0.20.3100%
5v6, opponent net empty42:500:432625.0%66.7%1010100%1.20.1—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2024-25SJS13134-214156.7%41419:22
2022-23FLA2000-1220.0%3110:06
2021-22FLA40369+310417.3%392912:43
2020-21CHI12011+12100.0%6313:04
2019-20CHI6011+3030.0%11614:08

Lucas Carlsson 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.