Edgehalla
Josh Archibald headshotPittsburgh Penguins logo

Pittsburgh Penguins

Josh Archibald

23.6

#15Right Wing

2022-23 regular season
62
GP
6
G
6
A
12
P
71
SOG
8.5% SH
9:59
TOI/GP

RW · PIT · NHL id 8476326

Josh Archibald has played 62 games for the Pittsburgh Penguins in 2022-23, scoring 6 goals and 6 assists (12 points) on 71 shots while averaging 9:59 a night (8:10 at even strength, 0:03 on the power play and 1:42 shorthanded). At 5v5 the Penguins have controlled 50% of shot attempts with Archibald on the ice (21-16 in goals, 30% offensive-zone starts). In the Penguins' most recent game against CHI he was on L4 with Jeff Carter and Danton Heinen and off the power play. He is shooting 8.5% this season against 12.1% across the 310 games in our data.

Right now

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

Line
L4
Jeff CarterDanton Heinen
Power play
No PP unit
Penalty kill
PK2F
Mikael Granlund
Last 5: L4 · L4 · L3 · L4 · L4

Deployment timeline

2022-23 · per-game ice time by strength, with line and power-play unit changes

Usage: 20 games, 9:08 average time on ice, PP1 in 0 games, 6 line changes.

PPLine4444444444443▲4▼3▲4▼43▲4▼40m3m7m10m13mMar 4Mar 9Mar 12Mar 16Mar 20Mar 23Mar 28Apr 1Apr 4Apr 8
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 9:08 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2022-23 percentiles among skaters at his position

Source: NHL EDGE
Top speed98th9823.6 mph
Bursts 20+ mph87th87148
Hardest shot92nd9395.1 mph
Offensive-zone time38th3941.1%
Distance skated40th41102.0 mi
High-danger SOG39th4023
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

2022-23 · 112 attempts, 71 on goal, 6 goals

Shot map, OPP at PIT: 112 attempts, 71 on goal, 6 goals, 6.59 expected goals; best chance Josh Archibald at 0.71 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

2022-23 · cumulative goals against expected goals from his own shots

02468-0.6goals below expected-0.3σOct 13Apr 11
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2022-23 regular season · 58 of 62 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
+0.014
Season net
+0.12xG

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

MethodLeaders
Per 60
1.07
Attempts
9
0.047

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

MethodLeaders
Season
+0.76G
Per 60
+0.073
Drawn / taken
25.5 / 21.5minors

MethodLeaders
52.3%
60.3%
52.6%
Transition CF/60
5.6
Turnovers won/60
17.8
Turnovers lost/60
14.5

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

MethodLeaders
  • More of his shots than the league
  • Fewer
71 shots on goal, 6 goals, all situations
AreaHis shareLeagueG
Center Point0%8%0
Outside R11%4%0
Low Slot31%24%4
L Point1%6%0
High Slot4%8%0
L Net Side0%3%0
R Circle14%11%0

Role changes

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

All alerts →

Linemates

2022-23 · 5v5 time together and how each pairing performs with and without Archibald

No 5v5 pairing data this season yet.

Game log

62 games in 2022-23, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 11vs CHIL 2-501101030—8:306:55—1:13
Apr 8@ DETW 5-1000+12001—11:379:14—2:11
Apr 6vs MINW 4-1000+11250—12:1910:130:012:02
Apr 4@ NJDL 1-5000-11021—9:096:49—2:20
Apr 2vs PHIW 4-200000040—8:207:20—1:00
Apr 1vs BOSL 3-4000-11050—10:538:46—2:04
Mar 30vs NSHW 2-000002022—9:186:540:012:23
Mar 28@ DETL 4-7101+12020—9:037:59—1:04
Mar 25vs WSHW 4-300001522—6:315:29—1:02
Mar 23@ DALL 2-3000-10010—9:226:48—2:34
Mar 22@ COLW 5-2000+112410%10:388:25—1:30
Mar 20vs OTTL 1-200001012—6:225:30—0:52
Mar 18@ NYRL 0-6000-11221—11:017:30—3:31
Mar 16@ NYRL 2-4000-12020—7:015:52—1:09
Mar 14vs MTLL 4-6000-22040—5:534:48—1:05
Mar 12vs NYRW 3-200000030—9:587:53—2:05
Mar 11vs PHIW 5-100000030—9:467:03—2:43
Mar 9vs NYIOTL 3-4101+11212—11:447:42—4:02
Mar 7vs CBJW 5-400002061—8:416:42—1:59
Mar 4@ FLAL 1-4000011010—7:524:37—3:15

Season splits by strength

2022-23 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations62618:349:5949963344.1%46.6%280331222646%22.629.124%
Even strength62506:188:1046246250.0%52.6%254238211657%19.517.630%
5v562505:498:1046246250.0%52.6%254238211657%19.517.630%
Power play122:470:1450100.0%100.0%2000—0.20.050%
Penalty kill58105:301:492816714.4%16.8%2390090%1.111.14%
5v4122:470:1450100.0%100.0%2000—0.20.050%
4v558102:121:462815415.4%18.2%2384080%1.19.84%
3v422:071:04090.0%0.0%03010%0.00.6—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2022-23PIT626612+643718.5%195289:59
2021-22PlayoffsEDM13011-5490.0%5159:27
2021-22EDM8011-2740.0%2729:03
2020-21PlayoffsEDM3000-1230.0%15114:39
2020-21EDM527613+2376211.3%1923513:33
2019-20EDM6212921-8126418.8%1654413:14
2018-19ARI68121022+1159213.0%1613913:34
2017-18ARI, PIT425611-2254211.9%861611:57

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.