Edgehalla
Taylor Fedun headshotPittsburgh Penguins logo

Pittsburgh Penguins

Taylor Fedun

#4Defenseman

2022-23 regular season
4
GP
0
G
0
A
0
P
5
SOG
0.0% SH
11:04
TOI/GP

D · PIT · NHL id 8476166

Taylor Fedun has played 4 games for the Pittsburgh Penguins in 2022-23, scoring 0 goals and 0 assists (0 points) on 5 shots while averaging 11:04 a night. At 5v5 the Penguins have controlled 57% of shot attempts with Fedun on the ice (2-2 in goals, 86% offensive-zone starts). In the Penguins' most recent game against WSH he was on D3 with Mark Friedman and off the power play. He is shooting 0.0% this season against 4.2% across the 99 games in our data.

Right now

From the Mar 25 game vs WSH, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Last 4: D3 · D3 · D3 · D3

Deployment timeline

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

Usage: 4 games, 10:52 average time on ice, PP1 in 0 games, 0 line changes.

PPLine33330m3m7m10m13mMar 20Mar 22Mar 23Mar 25
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
4 games shown, 10:52 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

Only 4 GP in 2022-23: NHL EDGE percentiles are noisy before about 15-20 games.

Top speed12th1320.3 mph
Bursts 20+ mph9th91
Hardest shot34th3589.0 mph
Offensive-zone time99th10050.1%
Distance skated8th96.4 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

2022-23 · 14 attempts, 5 on goal, 0 goals

Shot map, OPP at PIT: 14 attempts, 5 on goal, 0 goals, 0.35 expected goals; best chance Taylor Fedun at 0.13 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

00.20.40.60.81-0.3goals below expected-0.6σMar 20Mar 25
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2019-20 regular season · 26 of 27 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.053
Season net
−0.31xG

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

MethodLeaders
Per 60
0.68
Attempts
4
0.011

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

MethodLeaders
Season
−0.29G
Per 60
−0.047
Drawn / taken
2 / 4minors

MethodLeaders
54.1%
63.8%
54.4%
Transition CF/60
5.3
Turnovers won/60
21.3
Turnovers lost/60
16.4

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

MethodLeaders
  • More of his shots than the league
  • Fewer
40 shots on goal, 2 goals, all situations
AreaHis shareLeagueG
R Point25%7%0
Low Slot8%23%1
L Circle3%11%0
R Circle5%11%0
Outside L0%5%0
Center Point13%9%1
R Net Side0%3%0

Linemates

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

No 5v5 pairing data this season yet.

Game log

4 games in 2022-23, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Mar 25vs WSHW 4-3000+10030—11:1011:10——
Mar 23@ DALL 2-300002002—10:5110:51——
Mar 22@ COLW 5-200001001—11:4110:54——
Mar 20vs OTTL 1-2000-12001—10:3410:34——

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations444:1611:04654857.5%63.3%36162250%3.91.786%
Even strength443:2910:52644857.1%63.3%36162250%3.91.786%
5v5443:2910:52644857.1%63.3%36162250%3.91.786%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2022-23PIT40000050.0%3411:04
2019-20DAL27279+38405.0%161913:45
2018-19PlayoffsDAL7000-5250.0%6610:21
2018-19DAL544711+214864.7%195813:51
2017-18BUF7011-1280.0%41014:41

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.