Edgehalla
Mark Scheifele headshotWinnipeg Jets logo

Winnipeg Jets

Mark Scheifele

23.4

#55Center6'3"205 lb

0.0 in 2 days
2025-26 regular season
82
GP
36
G
67
A
103
P
175
SOG
20.6% SH
21:30
TOI/GP

C · WPG · NHL id 8476460

Mark Scheifele has played 82 games for the Winnipeg Jets in 2025-26, scoring 36 goals and 67 assists (103 points) on 175 shots while averaging 21:30 a night (17:16 at even strength, 3:07 on the power play and 0:17 shorthanded). At 5v5 he has skated 89% of his 5v5 minutes with Kyle Connor and 58% with Alex Iafallo over the last 10 games, and the Jets have controlled 50% of shot attempts with Scheifele on the ice (79-73 in goals, 70% offensive-zone starts). In the Jets' most recent game against SJS he was on L2 with Kyle Connor and Gabriel Vilardi and on PP1. He is shooting 20.6% this season against 19.1% across the 703 games in our data.

Right now

From the Apr 16 game vs SJS, detected from shift data

Last 5: L1/PP1 · L1/PP1 · L1/PP1 · L1/PP1 · L1/PP1

Deployment timeline

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

Usage: 20 games, 21:15 average time on ice, PP1 in 18 games, 2 line changes.

PPLine111▼1▲11▼1▲12▼1▲11111111110m8m17m25mMar 10Mar 14Mar 17Mar 21Mar 24Mar 28Apr 2Apr 6Apr 11Apr 14
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 21:15 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 speed93rd9423.4 mph
Bursts 20+ mph78th78121
Hardest shot62nd6286.9 mph
Offensive-zone time74th7544.0%
Distance skated99th100290.6 mi
High-danger SOG89th8966
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 · 328 attempts, 175 on goal, 36 goals

Shot map, OPP at WPG: 328 attempts, 175 on goal, 36 goals, 27.89 expected goals; best chance Mark Scheifele at 0.93 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 · 82 GP · 103 points vs 80.6 expected

Luck Meter →
Sell high

Last 20 games: +19. Positive means running hot (sell), negative running cold (buy).

20.6%
102.2
77.4%
G vs xG
36 / 32.7
  • • Role shrank over the last 10 games (1 demotion event): the cold spell may not be all luck.
Goals against expected goals
010203040+3.3goals above expected0.6σ10/94/16
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

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 played82
  • Goals3621st
  • Assists679th
  • Points1035th
  • Power-play points2259th
  • Shorthanded points1111th
  • Shots on goal17589th
  • Hits32526th
  • Blocked shots47277th
  • Plus/minus0307th
  • Penalty minutes43157th
  • Faceoffs won59433rd

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 · 82 of 82 games through the sequence engine

MethodLeaders
−0.050
Season net
−1.15xG

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

MethodLeaders
Per 100 draws
−0.033
Season
−0.42G
46.7%1273 draws

Wins by zone: OZ 298-337 · NZ 164-200 · DZ 132-142

MethodLeaders
Per 60
0.79
Attempts
18
0.079

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

MethodLeaders
Season
+1.43G
Per 60
+0.048
Drawn / taken
28.5 / 21.5minors

MethodLeaders
49.9%
47.6%
49.5%
Transition CF/60
3.0
Turnovers won/60
21.4
Turnovers lost/60
21.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
175 shots on goal, 36 goals, all situations
AreaHis shareLeagueG
L Circle22%13%6
Center Point2%9%0
L Net Side9%3%1
R Point0%6%0
L Point0%5%0
Outside L0%4%0
R Circle17%12%8

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 14, 2026 @ UTAOdd-man rushloose040.31-on-0
Apr 13, 2026 @ VGKReboundloose042.2rebound
Mar 26, 2026 vs COLDeflection—018.1—
Mar 26, 2026 vs COLCycle—07.8—
Mar 24, 2026 vs VGKOdd-man rushcarry046.51-on-0
Mar 15, 2026 vs STLOdd-man rushcarry037.91-on-0
Mar 7, 2026 vs VANOff the faceoff—054.1—
Mar 5, 2026 vs TBLRushcarry2*66.2one-timer
Mar 3, 2026 vs CHIForecheck turnover—1*75.5—
Jan 31, 2026 @ FLARushpass1*51.6one-timer
Jan 27, 2026 @ NJDRushcarry1*44.4—
Jan 20, 2026 vs STLRushpass453.5—
Jan 20, 2026 vs STLForecheck turnover—036.6—
Jan 15, 2026 @ MINRushcarry069.5one-timer
Jan 9, 2026 vs LAKOdd-man rushcarry358.63-on-2, one-timer
Jan 9, 2026 vs LAKForecheck turnoverloose010.7—
Jan 1, 2026 @ TORCycle—355.5—
Jan 1, 2026 @ TORRebound—023.0rebound
Dec 27, 2025 vs MINOff the faceoff—072.0—
Dec 19, 2025 @ COLForecheck turnover—026.0one-timer
Dec 9, 2025 vs DALForecheck turnover—1*48.8one-timer
Dec 9, 2025 vs DALForecheck turnover—164.1one-timer
Dec 3, 2025 @ MTLOdd-man rushloose149.32-on-0
Nov 28, 2025 @ CAROdd-man rushcarry164.01-on-0
Nov 26, 2025 @ WSHForecheck turnover—032.3—
Nov 15, 2025 @ CGYRushcarry059.6—
Nov 13, 2025 @ SEAOdd-man rushpass166.71-on-0
Oct 30, 2025 vs CHIOdd-man rushcarry134.33-on-2
Oct 26, 2025 vs UTAForecheck turnover—157.5—
Oct 20, 2025 @ CGYDeflectioncarry041.22-on-1, deflection
Oct 18, 2025 vs NSHCycle—19.0—
Oct 16, 2025 @ PHIForecheck turnover—2*65.3one-timer
Oct 16, 2025 @ PHIForecheck turnover—1*75.7—
Oct 13, 2025 @ NYIRushcarry015.9—
Oct 11, 2025 vs LAKDeflection—340.8deflection
Oct 11, 2025 vs LAKOdd-man rushcarry034.54-on-1
May 17, 2025 @ DALRebound—026.6rebound
May 15, 2025 vs DALOdd-man rushcarry3*22.43-on-2
May 7, 2025 vs DALForecheck turnover—168.3—
Apr 21, 2025 vs STLRushpass16.5—

* 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 Scheifele

TeammatePosGPShareCF% togetherGF% togetherCF% Scheifele apartCF% mate apart
Kyle ConnorLW821234:1090%50.0%51% (72-69)46.6% 133:0734.5% 83:44
Josh MorrisseyD77727:4353%51.7%57% (47-35)46.2% 549:1447.5% 777:57
Gabriel VilardiC76708:1652%48.8%55% (49-40)50.4% 562:1349.4% 427:49
Dylan DeMeloD82610:5945%51.3%49% (35-36)48.5% 756:1849.0% 893:36
Alex IafalloLW45485:0235%51.5%48% (21-23)49.7% 302:3742.6% 157:07
Dylan SambergD66330:5124%49.7%58% (18-13)50.9% 799:0151.8% 886:48
Neal PionkD49285:3321%47.6%55% (16-13)51.5% 528:0549.0% 593:35
Logan StanleyD56228:1917%47.3%39% (9-14)50.2% 687:1445.9% 636:20
Elias SalomonssonD32168:4212%54.3%53% (9-8)48.4% 397:0451.2% 348:47
Luke SchennD42127:459%40.9%38% (5-8)50.1% 560:4341.5% 376:25
Haydn FleuryD36117:439%41.9%38% (5-8)51.2% 480:5142.3% 318:22
Colin MillerD1762:485%41.6%40% (2-3)51.9% 188:1147.8% 168:11
Jacob BrysonD1544:453%53.1%44% (4-5)48.1% 224:3946.3% 138:13
Gustav NyquistC832:172%46.4%33% (1-2)53.0% 110:2340.7% 50:30

Game log

82 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16vs SJSL 1-6000-2000040%18:3413:514:110:32
Apr 14@ UTAL 3-5112-1200155%21:1414:413:512:08
Apr 13@ VGKL 2-6112-1240042%21:0211:456:492:19
Apr 11vs PHIL 1-7000-2320027%20:2216:433:34—
Apr 9@ STLW 3-2022+1100163%20:2117:181:281:13
Apr 6vs SEAW 6-2033+1400243%22:4419:552:22—
Apr 4@ CBJW 2-1022+2121027%22:3920:151:04—
Apr 2@ DALL 0-3000-1201036%23:0816:414:09—
Mar 31@ CHIW 4-3033-1100169%20:3218:391:470:06
Mar 28@ COLW 4-20110240340%23:5120:432:27—
Mar 26vs COLL 2-3202+1401047%22:2716:515:36—
Mar 24vs VGKW 4-1123+3351060%17:4311:184:590:25
Mar 22@ NYRW 3-20000320158%24:4020:583:19—
Mar 21@ PITOTL 4-5000-2000157%24:2823:121:130:03
Mar 19@ BOSL 1-6000-3100033%21:5619:032:53—
Mar 17vs NSHOTL 3-4011+2400053%24:4119:154:08—
Mar 15vs STLW 3-21010400071%22:1217:163:22—
Mar 14vs COLW 3-1022+1121244%19:5317:420:550:00
Mar 12vs NYRL 3-6011-1101050%24:2121:381:17—
Mar 10vs ANAL 1-4000-3001150%23:4818:432:23—

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations821763:2021:301852152054.9%54.6%9148031339957%116.393.072%
Even strength821416:2217:161319134649.5%49.1%638711857653%67.669.470%
5v5821367:1716:401275129249.7%49.2%610677797352%63.765.170%
Power play81254:553:093835587.4%86.4%2114135490%32.13.398%
Penalty kill4223:370:34143528.6%34.1%11132167%1.02.216%
4v42322:581:00152240.5%40.7%71220100%0.70.888%
3v3 (OT)1826:071:27293247.5%49.1%21224357%3.13.5—
5v481253:193:083795587.3%86.3%2084134489%31.03.398%
4v54223:370:34143528.6%34.1%11132167%1.02.216%
6v5, own net empty3941:231:041092879.6%76.6%461341324%5.512.5100%
5v6, opponent net empty2621:080:49195027.5%30.4%7247464%9.83.40%
6v4, own net empty64:220:445645.5%37.5%11010%0.32.3100%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WPG82366710304317520.6%324721:30
2024-25PlayoffsWPG115611+5162222.7%21619:00
2024-25WPG82394887+126118121.5%736020:26
2023-24PlayoffsWPG5246-601020.0%13521:43
2023-24WPG74254772+195715416.2%634020:11
2022-23PlayoffsWPG4101-141010.0%5117:35
2022-23WPG81422668-164320620.4%503820:29
2021-22WPG67294170-172315918.2%364721:08
2020-21PlayoffsWPG5235+1171414.3%5826:41
2020-21WPG56214263-41212616.7%313820:58
2019-20WPG71294473+24517017.1%344921:48
2018-19PlayoffsWPG6235081414.3%1620:47
2018-19WPG82384684+83819919.1%545421:52
2017-18PlayoffsWPG1714620+6104531.1%261621:21
2017-18WPG60233760+191812518.4%573120:41

Mark Scheifele 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.