Edgehalla
Nick Leddy headshotSan Jose Sharks logo

San Jose Sharks

Nick Leddy

#4Defenseman

0.0 in 2 days
2025-26 regular season
32
GP
1
G
6
A
7
P
16
SOG
6.3% SH
17:52
TOI/GP

D · SJS · NHL id 8475181

Nick Leddy has played 32 games for the San Jose Sharks in 2025-26, scoring 1 goal and 6 assists (7 points) on 16 shots while averaging 17:52 a night (16:29 at even strength, 0:04 on the power play and 1:15 shorthanded). At 5v5 he has skated 82% of his 5v5 minutes with Sam Dickinson and 45% with Macklin Celebrini over the last 10 games, and the Sharks have controlled 45% of shot attempts with Leddy on the ice (17-28 in goals, 60% offensive-zone starts). In the Sharks' most recent game against VAN he was on D3 with Sam Dickinson and off the power play; dropped to D3 (from D2) in the last game. He is shooting 6.3% this season against 4.5% across the 619 games in our data.

Right now

From the Apr 11 game vs VAN, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Dropped to D3 (from D2) in the last gameLast 5: D1 · D2 · D1 · D3 · D3

Deployment timeline

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

Usage: 13 games, 18:20 average time on ice, PP1 in 0 games, 9 line changes.

PPLine21▲3▼23▼1▲12▼1▲2▼1▲3▼30m8m17m25mMar 6Mar 10Mar 14Mar 17Mar 21Mar 26Mar 30Apr 2Apr 6Apr 9
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
13 games shown, 18:20 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 speed74th7522.3 mph
Bursts 20+ mph49th4918
Hardest shot24th2485.1 mph
Offensive-zone time49th4941.4%
Distance skated34th3476.7 mi
High-danger SOG1st00
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 · 51 attempts, 16 on goal, 1 goal

Shot map, OPP at SJS: 51 attempts, 16 on goal, 1 goal, 1.01 expected goals; best chance Nick Leddy at 0.16 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 · 32 GP · 7 points vs 6.9 expected

Luck Meter →
Hold

Last 20 games: -17. Positive means running hot (sell), negative running cold (buy).

6.3%
97.0
33.3%
G vs xG
1 / 0.8
  • • Role rose over the last 10 games (TOI up 1:38 a game, 4 promotion events): some of the heat may be real.
Goals against expected goals
00.511.5+0.2goals above expected0.2σ10/94/11
  • 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.

Fantasy box score

  • Games played32
  • Goals1634th
  • Assists6573rd
  • Points7615th
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal16701st
  • Hits7703rd
  • Blocked shots40335th
  • Plus/minus−9540th
  • Penalty minutes6670th
  • 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 · 31 of 32 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.043
Season net
−0.37xG

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
−0.61G
Per 60
−0.064
Drawn / taken
0 / 3minors

MethodLeaders
42.8%
44.4%
43.0%
Transition CF/60
4.5
Turnovers won/60
20.5
Turnovers lost/60
24.3

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

MethodLeaders
  • More of his shots than the league
  • Fewer
16 shots on goal, 1 goals, all situations
AreaHis shareLeagueG
Low Slot0%23%0
Center Point31%9%0
L Point19%5%0
R Point13%6%0
L Circle6%13%0
R Circle6%12%0
R Corner6%0%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 4, 2026 vs NSHRebound—057.3rebound
Apr 12, 2025 @ SEAForecheck turnoverloose068.0—
Mar 8, 2025 @ LAKForecheck turnover—165.7one-timer
Jan 28, 2024 vs LAKForecheck turnover—074.9—
Nov 22, 2023 @ ARIReboundcarry024.92-on-1, rebound
Oct 26, 2023 @ CGYPoint shotloose163.1—

* 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 Leddy

TeammatePosGPShareCF% togetherGF% togetherCF% Leddy apartCF% mate apart
Sam DickinsonD25275:3253%47.9%50% (12-12)47.8% 146:4651.8% 126:04
Macklin CelebriniC31180:5535%42.7%60% (6-4)46.9% 336:0051.7% 338:20
Will SmithC27140:2627%40.9%43% (3-4)48.4% 310:5651.4% 246:11
Collin GrafRW30132:5226%39.2%42% (5-7)48.6% 367:1351.0% 260:34
William EklundLW31130:2725%56.9%60% (6-4)41.7% 386:2849.4% 320:02
Alexander WennbergC31130:1525%57.3%42% (5-7)41.1% 386:4049.9% 294:44
Tyler ToffoliC29114:3122%46.5%38% (3-5)43.9% 374:1746.8% 233:09
Barclay GoodrowC31100:4619%39.1%22% (2-7)46.6% 416:0942.2% 184:38
Adam GaudetteC2795:3118%48.1%36% (4-7)43.8% 355:0345.0% 177:01
Zack OstapchukC2169:0713%40.6%17% (1-5)46.5% 280:3248.9% 110:19
Igor ChernyshovLW1368:3813%46.2%67% (2-1)49.8% 155:0753.1% 119:53
Ty DellandreaC1768:0413%36.3%11% (1-8)41.1% 212:0045.7% 121:02
Michael MisaC1765:1713%47.3%33% (2-4)52.6% 224:1749.3% 143:54
Kiefer SherwoodLW1360:3412%69.4%60% (3-2)46.9% 161:2459.2% 132:37

Game log

32 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 11vs VANOTL 3-400001000—16:2216:08—0:14
Apr 9@ ANAL 1-6000-30000—17:5117:24—0:27
Apr 8vs EDML 2-5000-11002—19:0017:34—1:26
Apr 6vs CHIW 3-200001000—17:2715:51—1:36
Apr 4vs NSHL 3-6112+22012—20:4220:42——
Apr 2vs TORW 4-1000+10000—17:5616:530:010:12
Apr 1vs ANAW 4-3000+10010—20:4819:20—1:28
Mar 30vs STLW 5-4011+10003—22:3222:32——
Mar 28@ CBJW 3-200000002—17:3716:490:120:36
Mar 26@ STLOTL 1-2000+10011—19:4419:38—0:06
Mar 21vs PHIL 1-4000-10000—13:5710:42—3:15
Mar 19vs BUFL 0-5000-12000—18:1517:25—0:50
Mar 17@ EDML 3-500003004—17:0516:32—0:33
Jan 16@ DETL 2-4011+10020—17:2716:44—0:43
Jan 10vs DALW 5-4000-20003—19:1116:21—2:45
Jan 7@ LAKW 4-3000-10002—17:3816:41—0:57
Jan 6vs CBJW 5-2000+10001—15:4415:33—0:04
Dec 23@ VGKL 2-7000-10000—19:4617:43—2:03
Dec 13@ PITW 6-5000-10201—14:3412:420:031:37
Dec 9@ PHIL 1-4000-12001—18:2616:56—1:30

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations32571:5117:5244159242.7%41.4%207289214233%20.933.553%
Even strength32527:3516:2942851145.6%44.5%198240192840%19.825.859%
5v532518:3916:1242150845.3%44.3%193238172838%19.225.560%
Power play91:570:1320100.0%100.0%1000—0.10.0100%
Penalty kill2739:471:2897510.7%12.9%7431128%0.96.810%
4v4108:120:497370.0%62.5%5220100%0.50.333%
4v52739:321:2897410.8%13.0%7421118%0.96.710%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26SJS32167-96166.3%74017:52
2024-25PlayoffsSTL7011-4210.0%6314:11
2024-25STL31235+62219.5%52618:40
2023-24STL8232528+1414823.7%5112722:22
2022-23STL7822123+420792.5%439621:07
2021-22PlayoffsSTL9145+42911.1%11721:31
2021-22STL, DET7532124-3022714.2%376721:25
2020-21PlayoffsNYI19066+22100.0%212523:06
2020-21NYI5622931-38792.5%585421:35
2019-20NYI6031821-114724.2%627221:07
2018-19PlayoffsNYI8101-10812.5%92120:12
2018-19NYI82422260181163.4%778921:33
2017-18NYI80103242-42201536.5%9510422:25

Nick Leddy 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.