Edgehalla
Cam York headshotPhiladelphia Flyers logo

Philadelphia Flyers

Cam York

#8Defenseman6'0"192 lb

0.0 in 2 days
2026-27 regular season
2
GP
0
G
0
A
0
P
2
SOG
0.0% SH
22:35
TOI/GP

D · PHI · NHL id 8481546

Cam York has played 2 games for the Philadelphia Flyers in 2026-27, scoring 0 goals and 0 assists (0 points) on 2 shots while averaging 22:35 a night (15:58 at even strength, 2:09 on the power play and 4:19 shorthanded). At 5v5 he has skated 89% of his 5v5 minutes with Jamie Drysdale and 41% with Tyson Foerster over the last 2 games, and the Flyers have controlled 27% of shot attempts with York on the ice (0-3 in goals, 18% offensive-zone starts). In the Flyers' most recent game against NJD he was on D2 with Jamie Drysdale and on PP2; moved up to D2 (from D3) in the last game.

Right now

From the Oct 1 game vs NJD, detected from shift data

Moved up to D2 (from D3) in the last gameLast 2: D3/PP1 · D2/PP1
Ascension52Steadylast 2 games vs previous 20 (incl. last season), through Oct 2, 2026
  • PP1 in 1 of last 2 (was 2 of 20)
  • +1:32 PP TOI

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 2 games, 22:25 average time on ice, PP1 in 2 games, 1 line changes.

PPLine32▲0m8m17m25mSep 30Oct 1
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 22:25 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

Only 2 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed67th6822.1 mph
Bursts 20+ mph53rd5425
Hardest shot66th6693.1 mph
Offensive-zone time51st5141.4%
Distance skated81st81233.7 mi
High-danger SOG97th9716
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

2026-27 · 5 attempts, 2 on goal, 0 goals

Shot map, OPP at PHI: 5 attempts, 2 on goal, 0 goals, 0.12 expected goals; best chance Cam York at 0.06 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 · 74 GP · 26 points vs 27.5 expected

Luck Meter →
Hold

Last 20 games: -26. Positive means running hot (sell), negative running cold (buy).

4.5%
100.8
31.7%
G vs xG
4 / 6.8
  • • Role rose over the last 10 games (2 promotion events): some of the heat may be real.
Goals against expected goals
02468-2.8goals below expected-1.1σ10/164/13
  • 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.

  • 2026-27 so far: 2 GP, 0 G, 0 A, 0 PPP, 2 SOG.

Fantasy box score

  • Games played74
  • Goals4481st
  • Assists22228th
  • Points26332nd
  • Power-play points7211th
  • Shorthanded points0227th
  • Shots on goal89355th
  • Hits24595th
  • Blocked shots14526th
  • Plus/minus+5194th
  • Penalty minutes28321st
  • 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 · 74 of 74 games through the sequence engine

MethodLeaders
−0.043
Season net
−0.90xG

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

MethodLeaders
Per 60
0.19
Attempts
4
0.000

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

MethodLeaders
Season
−1.22G
Per 60
−0.044
Drawn / taken
8 / 14minors

MethodLeaders
51.1%
51.8%
50.7%
Transition CF/60
4.5
Turnovers won/60
22.3
Turnovers lost/60
21.1

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

MethodLeaders
  • More of his shots than the league
  • Fewer
89 shots on goal, 4 goals, all situations
AreaHis shareLeagueG
L Point17%5%0
Center Point19%9%1
Low Slot16%23%2
R Circle6%12%1
R Point1%6%0
Outside R0%4%0
Outside L8%4%0

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 29, 2026 vs PITPoint shot—3*65.4—
Jan 21, 2026 @ UTARebound—058.6rebound
Jan 6, 2026 vs ANAPoint shot—247.1—
Dec 18, 2025 @ BUFForecheck turnover—2*38.3—
Nov 4, 2025 @ MTLCycle—3*72.8one-timer
Jan 16, 2025 @ NYIOff the faceoff—1*59.8—
Dec 7, 2024 @ BOSForecheck turnover—168.5—
Oct 17, 2024 @ SEAOdd-man rushcarry1*58.83-on-2
Oct 11, 2024 @ VANForecheck turnover—258.4—
Apr 11, 2024 @ NYRRushcarry1*44.0—
Mar 2, 2024 vs OTTPoint shot—056.0—
Feb 27, 2024 vs TBLForecheck turnover—041.8—
Feb 25, 2024 @ PITOdd-man rushcarry168.53-on-2
Jan 23, 2024 vs TBLOdd-man rushcarry013.44-on-3
Dec 16, 2023 vs DETForecheck turnover—231.9—
Dec 7, 2023 @ ARICycle—2*35.1—
Nov 22, 2023 @ NYIRebound—034.8rebound
Nov 19, 2023 vs CBJForecheck turnover—015.4—
Oct 14, 2023 @ OTTOdd-man rushpass056.74-on-2

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

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without York

TeammatePosGPShareCF% togetherGF% togetherCF% York apartCF% mate apart
Jamie DrysdaleD227:2689%25.9%0% (0-2)33.3% 3:2916.7% 5:36
Tyson FoersterRW212:4041%17.2%0% (0-2)34.3% 18:1544.4% 14:15
Christian DvorakLW211:2237%21.7%— (0-0)29.3% 19:3347.2% 17:24
Matvei MichkovRW211:1837%32.0%0% (0-1)23.1% 19:3752.4% 12:34
Travis KonecnyC29:5632%27.3%0% (0-1)26.2% 20:5937.9% 14:38
Noah CatesLW29:4732%33.3%0% (0-1)23.3% 21:0853.8% 10:43
Owen TippettRW26:1720%33.3%— (0-0)25.5% 24:3832.6% 18:37
Noel AcciariC25:3618%15.4%0% (0-1)29.4% 25:1942.4% 19:42
Sean CouturierC25:1817%44.4%0% (0-1)23.6% 25:3735.0% 19:27
Porter MartoneRW14:5916%28.6%— (0-0)20.7% 12:5242.9% 6:01
Carl GrundstromRW24:5416%37.5%0% (0-1)25.0% 26:0131.4% 15:25
Trevor ZegrasC24:5216%11.1%0% (0-1)29.1% 26:0333.3% 22:41
Alex BumpLW24:3315%37.5%— (0-0)25.0% 26:2236.8% 14:10
Travis SanheimD22:047%33.3%0% (0-1)25.9% 28:5135.1% 32:12

Linemate and opposition quality

2025-26 · 5v5 · 1,265 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

52.1%

81st percentile · higher = stronger linemates

50.0%

51st percentile · higher = tougher opponents

Plays with stronger-than-usual linemates.

Each value is the ice-time-weighted average season xGF% of the skaters York shared the 5v5 ice with. Small samples lean on each skater's previous season (or 50% for newcomers). 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

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 1@ NJDOTL 2-3000-11023—24:0118:521:004:09
Sep 30vs PITL 0-7000-21001—21:0813:043:174:28

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations245:0922:35276330.0%31.7%1130050%1.03.022%
Even strength231:5615:58184727.7%26.2%622030%0.41.718%
5v5230:5515:28174726.6%24.4%522030%0.41.718%
Power play24:172:0980100.0%100.0%4000—0.60.0100%
Penalty kill28:374:191165.9%9.1%18020%0.01.317%
5v424:172:0980100.0%100.0%4000—0.60.0100%
4v528:374:191165.9%9.1%18020%0.01.317%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27PHI2000-3020.0%2422:35
2025-26PlayoffsPHI10112+16185.6%142623:22
2025-26PHI7442226+528894.5%2414522:32
2024-25PHI6741317-826656.2%6012620:28
2023-24PHI82102030-13441347.5%7617422:37
2022-23PHI5421820-118424.8%446919:39
2021-22PHI303710-146339.1%204019:05
2020-21PHI3000-1010.0%1219:47

Cam York 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.