Edgehalla
Justin Faulk headshotDetroit Red Wings logo

Detroit Red Wings

Justin Faulk

22.7

#72Defenseman6'0"207 lb

0.0 in 2 days
2025-26 regular season
78
GP
16
G
24
A
40
P
148
SOG
10.8% SH
22:01
TOI/GP

D · DET · NHL id 8475753

Justin Faulk has played 78 games for the Detroit Red Wings in 2025-26, scoring 16 goals and 24 assists (40 points) on 148 shots while averaging 22:01 a night (18:06 at even strength, 1:55 on the power play and 1:30 shorthanded). At 5v5 he has skated 82% of his 5v5 minutes with Ben Chiarot and 30% with Alex DeBrincat over the last 10 games, and the Red Wings have controlled 47% of shot attempts with Faulk on the ice (56-62 in goals, 47% offensive-zone starts). In the Red Wings' most recent game against FLA he was on D1 with Ben Chiarot and on PP2; moved up to D1 (from D2) in the last game. He is shooting 10.8% this season against 5.3% across the 693 games in our data.

Right now

From the Apr 15 game vs FLA, detected from shift data

Moved up to D1 (from D2) in the last gameAdded to PP2 in the last gameLast 5: D2 · D2/PP2 · D2 · D2/PP2 · D1/PP2

Deployment timeline

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

Usage: 8 games, 19:34 average time on ice, PP1 in 0 games, 0 line changes.

PPLine223222210m8m17m25mMar 28Mar 30Apr 1Apr 3Apr 5Apr 7Apr 9Apr 11Apr 13Apr 14
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
8 games shown, 19:34 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 speed88th8822.7 mph
Bursts 20+ mph89th9069
Hardest shot83rd8496.2 mph
Offensive-zone time61st6142.4%
Distance skated84th84237.2 mi
High-danger SOG94th9413
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 · 305 attempts, 148 on goal, 16 goals

Shot map, OPP at DET: 305 attempts, 148 on goal, 16 goals, 9.06 expected goals; best chance Justin Faulk at 0.49 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 · 78 GP · 40 points vs 27.9 expected

Luck Meter →
Sell high

Last 20 games: +59. Positive means running hot (sell), negative running cold (buy).

10.8%
99.6
50.0%
G vs xG
16 / 8.4
  • • Role shrank over the last 10 games (TOI down 2:23 a game, PP share 36% → 24%, 4 demotion events): the cold spell may not be all luck.
  • • Shot diet worsened: 0.033 xG per attempt lately vs 0.045 before.
Goals against expected goals
051015+7.6goals above expected2.6σ10/94/15
  • 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 played78
  • Goals16180th
  • Assists24202nd
  • Points40193rd
  • Power-play points9182nd
  • Shorthanded points1111th
  • Shots on goal148155th
  • Hits70286th
  • Blocked shots13238th
  • Plus/minus−8523rd
  • Penalty minutes42165th
  • 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 · 78 of 78 games through the sequence engine

MethodLeaders
−0.038
Season net
−0.88xG

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

MethodLeaders
Per 60
0.52
Attempts
12
0.023

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

MethodLeaders
Season
−3.05G
Per 60
−0.107
Drawn / taken
6 / 21minors

MethodLeaders
45.9%
47.7%
45.7%
Transition CF/60
3.5
Turnovers won/60
19.8
Turnovers lost/60
20.1

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

MethodLeaders
  • More of his shots than the league
  • Fewer
148 shots on goal, 16 goals, all situations
AreaHis shareLeagueG
Low Slot7%23%2
R Point20%6%3
R Circle20%12%6
Center Point15%9%1
L Circle7%13%1
Outside R9%4%1
L Point1%5%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 15, 2026 @ FLACycle—1*70.8—
Apr 11, 2026 vs NJDRushcarry038.5—
Apr 7, 2026 vs CBJOff the faceoff—162.1one-timer
Apr 7, 2026 vs CBJOdd-man rushcarry145.83-on-2
Mar 10, 2026 @ FLAOff the faceoff—052.2—
Jan 2, 2026 vs VGKForecheck turnover—066.5—
Dec 22, 2025 @ TBLForecheck turnoverpass182.54-on-2, one-timer
Dec 20, 2025 @ FLAPoint shot—1*59.8—
Dec 17, 2025 vs WPGDump and chasedump1*71.9—
Dec 12, 2025 vs CHICycle—334.3—
Nov 20, 2025 @ PHICycle—4*65.8one-timer
Nov 20, 2025 @ PHIForecheck turnoverloose173.82-on-1, one-timer
Nov 14, 2025 vs PHIOff the faceoff—271.7—
Nov 6, 2025 @ BUFOdd-man rushloose17.65-on-0
Nov 1, 2025 @ CBJForecheck turnover—063.2—
Oct 21, 2025 vs LAKForecheck turnover—065.6—
Apr 27, 2025 vs WPGForecheck turnover—057.1one-timer
Mar 23, 2025 vs NSHOdd-man rushcarry1*61.73-on-2
Mar 18, 2025 @ NSHForecheck turnover—2*80.8one-timer
Dec 31, 2024 @ CHIOff the faceoff—188.0one-timer
Oct 10, 2024 @ SJSCycle—3*49.7—
Dec 23, 2023 vs CHIRushpass248.9—
Dec 19, 2023 @ TBLCycle—4*69.7—

* 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 Faulk

TeammatePosGPShareCF% togetherGF% togetherCF% Faulk apartCF% mate apart
Tyler TuckerD41391:2628%49.8%50% (20-20)45.8% 337:2451.5% 155:01
Cam FowlerD44342:1325%45.3%48% (11-12)48.3% 454:2248.6% 430:06
Brayden SchennC61332:1524%45.5%35% (9-17)48.0% 758:2149.1% 516:11
Pavel BuchnevichLW61292:3721%49.3%52% (13-12)46.5% 797:5949.5% 506:52
Jordan KyrouC50250:1818%52.8%56% (9-7)44.7% 645:4255.5% 415:09
Ben ChiarotD16249:2418%45.7%41% (9-13)39.7% 31:3158.2% 34:56
Jimmy SnuggerudRW49237:3717%45.4%48% (12-13)47.3% 647:4848.1% 417:33
Jake NeighboursLW47221:5516%51.0%46% (12-14)46.6% 604:1946.5% 397:01
Pius SuterC44218:5016%47.9%69% (11-5)47.2% 590:0151.7% 359:13
Dalibor DvorskyRW51218:0416%44.3%50% (8-8)47.6% 685:5346.6% 398:22
Philip BrobergD33209:5915%47.5%43% (6-8)48.3% 379:1545.5% 423:31
Dylan HollowayLW38208:1815%52.1%69% (9-4)45.0% 486:4848.9% 338:46
Robert ThomasC44205:3215%48.5%58% (11-8)43.9% 603:0751.6% 398:20
Oskar SundqvistC44168:1312%42.0%41% (7-10)48.3% 621:5836.0% 284:23

Game log

78 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 15@ FLAL 1-8101-12000—19:5817:372:21—
Apr 13@ TBLOTL 3-4011-14010—20:2817:192:350:34
Apr 11vs NJDL 3-510103003—22:3122:200:11—
Apr 9vs PHIW 6-300002633—18:4015:580:551:47
Apr 7vs CBJOTL 3-4202+26001—23:4021:27—1:51
Apr 2@ PHIW 4-2000-10011—10:4910:380:11—
Mar 31@ PITL 1-5000-22022—22:4019:46—2:52
Mar 28vs PHIL 3-501101000—18:2917:010:280:43
Mar 27@ BUFW 5-200000213—20:1114:463:122:03
Mar 24vs OTTL 2-3000-12002—21:5319:391:490:25
Mar 21vs BOSL 2-4000-11023—20:5317:471:271:39
Mar 19vs MTLW 3-100002012—20:2617:581:250:50
Mar 16vs CGYW 5-2000+12013—22:0418:102:290:26
Mar 14@ DALOTL 2-3000+10202—22:1418:140:343:12
Mar 12@ TBLL 1-4000-11041—19:1117:140:271:02
Mar 10@ FLAL 3-4112-11011—20:4818:120:171:55
Mar 8@ NJDW 3-000003043—19:2817:321:240:32
Mar 4@ SEAW 3-200001211—22:4519:261:221:45
Mar 1@ MINW 3-100001021—25:2820:380:432:47
Feb 28vs NJDL 1-3000-22021—23:1515:563:011:51

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations781716:4922:011486169246.8%46.4%7678128010144%74.191.647%
Even strength781411:3418:061215137047.0%47.2%629647586248%53.561.046%
5v5781382:0917:431178134846.6%46.7%601635566247%50.259.647%
Power play75149:402:001944481.5%77.3%10327140100%13.23.395%
Penalty kill69116:321:413021312.3%13.3%2010732710%1.917.13%
4v42520:150:49221756.4%62.9%17920100%2.20.933%
3v3 (OT)109:100:5515575.0%75.0%11300—1.10.525%
5v475148:441:591934481.4%77.2%10327140100%13.13.396%
4v569114:511:403020812.6%13.7%2010432610%1.916.43%
6v5, own net empty2017:460:53331766.0%57.9%1192918%2.27.9100%
5v6, opponent net empty3119:290:38134721.7%15.8%3223350%3.02.30%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26DET, STL78162440-84214810.8%7013222:01
2024-25PlayoffsSTL7123+38128.3%191323:43
2024-25STL7842832-9301243.2%8210822:27
2023-24STL6022830-2391321.5%8310421:58
2022-23STL82113950-4341965.6%11214023:23
2021-22PlayoffsSTL12178-210293.4%341925:58
2021-22STL76163147+41431679.6%14910123:12
2020-21PlayoffsSTL2000-1250.0%4120:39
2020-21STL5671825+11351176.0%1278724:16
2019-20STL6951116-3321473.4%827620:34
2018-19PlayoffsCAR15178+44521.9%461925:29
2018-19CAR82112435+9472175.1%15612122:25
2017-18CAR7682331-26482113.8%1289022:16

Justin Faulk 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.