Edgehalla
Mason Appleton headshotDetroit Red Wings logo

Detroit Red Wings

Mason Appleton

#22Center6'2"192 lb

0.0 in 2 days
2025-26 regular season
65
GP
6
G
8
A
14
P
63
SOG
9.5% SH
13:31
TOI/GP

C · DET · NHL id 8478891

Mason Appleton has played 65 games for the Detroit Red Wings in 2025-26, scoring 6 goals and 8 assists (14 points) on 63 shots while averaging 13:31 a night (11:57 at even strength, 0:04 on the power play and 1:14 shorthanded). At 5v5 he has skated 41% of his 5v5 minutes with Ben Chiarot and 38% with Simon Edvinsson over the last 10 games, and the Red Wings have controlled 47% of shot attempts with Appleton on the ice (21-28 in goals, 49% offensive-zone starts). In the Red Wings' most recent game against PHI he was on L3 with Dylan Larkin and Emmitt Finnie and off the power play. He is shooting 9.5% this season against 9.5% across the 496 games in our data.

Right now

From the Apr 2 game vs PHI, detected from shift data

Line
L3
Dylan LarkinEmmitt Finnie
Power play
No PP unit
Penalty kill
PK2F
Marco Kasper
Last 5: L3 · L4 · L3 · L2 · L3

Deployment timeline

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

Usage: 20 games, 13:06 average time on ice, PP1 in 0 games, 11 line changes.

PPLine21▲3▼333331▲2▼3▼4▼3▲3334▼3▲2▲3▼0m3m7m10m13m17m20mJan 31Feb 4Feb 28Mar 4Mar 8Mar 12Mar 16Mar 21Mar 27Mar 31
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 13:06 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 speed41st4122.1 mph
Bursts 20+ mph67th6893
Hardest shot27th2881.4 mph
Offensive-zone time8th938.2%
Distance skated53rd53139.6 mi
High-danger SOG34th3516
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 · 114 attempts, 63 on goal, 6 goals

Shot map, OPP at DET: 114 attempts, 63 on goal, 6 goals, 5.19 expected goals; best chance Mason Appleton at 0.72 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 · 65 GP · 14 points vs 13.0 expected

Luck Meter →
Hold

Last 20 games: -36. Positive means running hot (sell), negative running cold (buy).

9.5%
98.9
56.0%
G vs xG
6 / 5.1
  • • Role shrank over the last 10 games (TOI down 1:11 a game, 5 demotion events): the cold spell may not be all luck.
Goals against expected goals
0246+0.9goals above expected0.4σ10/94/2
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Player analytics

Compare with another player →

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among forwards. Each stat links to its explainer.

Fantasy box score

  • Games played65
  • Goals6408th
  • Assists8513th
  • Points14501st
  • Power-play points0437th
  • Shorthanded points1111th
  • Shots on goal63481st
  • Hits89209th
  • Blocked shots29467th
  • Plus/minus−4420th
  • Penalty minutes44144th
  • Faceoffs won6349th

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 · 61 of 65 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.028
Season net
−0.36xG

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

MethodLeaders
Per 100 draws
−0.231
Season
−0.05G
27.3%22 draws

Wins by zone: OZ 2-10 · NZ 1-5 · DZ 3-1

MethodLeaders
Per 60
0.93
Attempts
12
0.042

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

MethodLeaders
Season
−1.83G
Per 60
−0.125
Drawn / taken
13 / 22minors

MethodLeaders
38.6%
43.6%
38.3%
Transition CF/60
4.0
Turnovers won/60
19.0
Turnovers lost/60
18.8

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

MethodLeaders
  • More of his shots than the league
  • Fewer
63 shots on goal, 6 goals, all situations
AreaHis shareLeagueG
Outside R16%4%0
Center Point2%9%0
R Point13%6%1
High Slot2%7%0
Outside L0%4%0
L Circle16%13%2
L Point3%5%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 28, 2026 vs PHIDump and chasedump1*68.1—
Dec 31, 2025 vs WPGOdd-man rushcarry1*6.62-on-0
Dec 28, 2025 vs TORRushcarry041.3—
Oct 15, 2025 vs FLAOdd-man rushcarry063.62-on-1
Oct 15, 2025 vs FLAForecheck turnover—062.1—
Oct 13, 2025 @ TORForecheck turnover—065.0—
Mar 30, 2025 vs VANRebound—013.1rebound
Mar 25, 2025 vs WSHRushcarry2*72.4—
Feb 26, 2025 @ OTTRebounddump15.62-on-0, rebound
Jan 26, 2025 vs CGYRebound—040.6rebound
Dec 10, 2024 vs BOSRushcarry1*41.6—
Dec 7, 2024 @ CHIOdd-man rushcarry021.71-on-0
Nov 1, 2024 @ CBJForecheck turnovercarry154.03-on-1, one-timer
Oct 26, 2024 @ CGYRushloose1*60.0—
Oct 20, 2024 vs PITOdd-man rushcarry248.34-on-2
Oct 9, 2024 @ EDMRushcarry3*76.3—
Mar 26, 2024 vs EDMReboundcarry049.6rebound
Mar 23, 2024 @ NYIReboundcarry029.4rebound
Mar 15, 2024 vs ANARebound—057.1one-timer, rebound
Mar 13, 2024 vs NSHRebound—052.7rebound
Feb 20, 2024 vs MINCycle—4*58.9—
Jan 27, 2024 vs TORRebound—010.1rebound
Jan 20, 2024 @ OTTOdd-man rushcarry165.93-on-1
Jan 16, 2024 vs NYIRebound—05.9rebound
Nov 18, 2023 vs ARIRushcarry054.7—
Nov 17, 2023 vs BUFDeflectionpass116.45-on-3, rebound
Nov 9, 2023 vs NSHOdd-man rushcarry124.93-on-2
Oct 26, 2023 @ DETOdd-man rushcarry3*12.23-on-2
Oct 24, 2023 vs STLCycle—2*62.8one-timer
Oct 14, 2023 vs FLAOdd-man rushcarry08.82-on-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 Appleton

TeammatePosGPShareCF% togetherGF% togetherCF% Appleton apartCF% mate apart
Ben ChiarotD65311:3640%44.2%39% (7-11)48.7% 460:2047.2% 860:43
Michael RasmussenC35271:2135%45.1%31% (5-11)50.3% 152:2338.6% 108:28
Moritz SeiderD65267:3335%55.6%58% (11-8)42.5% 504:2352.7% 980:12
Albert JohanssonD64238:2131%41.9%24% (4-13)48.6% 523:1149.5% 665:44
Simon EdvinssonD55236:3631%51.6%56% (9-7)42.9% 418:1051.8% 834:53
J.T. CompherLW34222:4229%49.1%42% (8-11)45.5% 197:0442.3% 210:02
Marco KasperC29193:1625%51.2%55% (6-5)40.3% 138:5056.8% 159:19
Axel Sandin-PellikkaD50187:1624%49.4%40% (6-9)47.0% 408:3051.0% 498:55
Jacob Bernard-DockerD50167:0722%41.2%50% (3-3)46.6% 434:5548.1% 497:49
Emmitt FinnieC25152:4220%46.2%46% (6-7)47.4% 156:3347.8% 162:54
Elmer SoderblomLW20143:4619%52.5%20% (1-4)46.9% 95:1155.6% 71:52
Nate DanielsonC1188:3311%49.7%50% (1-1)35.7% 33:2646.4% 19:03
Travis HamonicD2375:2810%44.8%40% (2-3)56.5% 190:5746.6% 208:10
Alex DeBrincatLW1062:398%52.3%80% (4-1)47.7% 62:3156.4% 75:52

Game log

65 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 2@ PHIW 4-200000020—17:1314:50—0:29
Mar 31@ PITL 1-5000-11041—16:3314:22—2:11
Mar 28vs PHIL 3-5101+1124033%10:2410:24——
Mar 27@ BUFW 5-2000-10200—8:157:28—0:21
Mar 24vs OTTL 2-300001210—11:1611:16——
Mar 21vs BOSL 2-4000-13220—12:4312:19—0:24
Mar 19vs MTLW 3-100002040—14:3013:37—0:53
Mar 16vs CGYW 5-2000+10440—10:329:130:250:50
Mar 14@ DALOTL 2-300000001—10:107:16—2:44
Mar 12@ TBLL 1-400001000—13:3612:470:180:31
Mar 10@ FLAL 3-400001002—16:4414:490:031:52
Mar 8@ NJDW 3-000001011—16:2814:290:051:54
Mar 6vs FLAL 1-300000010—11:1510:21—0:54
Mar 4vs VGKOTL 3-4000+11000—12:0311:280:120:23
Mar 2@ NSHW 4-2022+23200—13:5812:060:171:06
Feb 28@ CARL 2-5000-21011—14:3513:26—1:09
Feb 26@ OTTW 2-100000012—13:0712:14—0:53
Feb 4@ UTAL 1-4000-11040—13:2411:000:192:05
Feb 2@ COLW 2-000000231—14:3913:58—0:41
Jan 31vs COLL 0-5000-21011—13:4613:120:020:32

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations65879:0413:3169394542.3%41.6%312422253840%25.546.645%
Even strength65776:5511:5766375546.8%45.9%296345212843%21.434.749%
5v565771:5611:5366175146.8%46.0%295342212843%21.434.449%
Power play244:520:1220100.0%—0000—0.00.086%
Penalty kill6180:121:19151548.9%9.7%11671910%0.910.09%
4v494:590:332433.3%40.0%1300—0.00.340%
5v4244:520:1220100.0%—0000—0.00.086%
4v56180:121:19151548.9%9.7%11671910%0.910.09%
5v6, opponent net empty2115:030:4383120.5%21.7%393175%2.81.50%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26DET656814-444639.5%892913:31
2024-25PlayoffsWPG13077+514160.0%28714:51
2024-25WPG71101222+7221079.3%762914:50
2023-24PlayoffsWPG5022-4670.0%9214:00
2023-24WPG82142236+162612211.5%1064416:03
2022-23PlayoffsWPG5000-4080.0%15218:11
2022-23WPG4151116+28717.0%471116:01
2021-22WPG, SEA6881321-130988.2%642014:53
2020-21PlayoffsWPG8123+42137.7%14016:31
2020-21WPG56121325+11148813.6%612214:25
2019-20WPG46538-920559.1%201211:10
2018-19WPG363710+942910.3%28128:12

Mason Appleton 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.