Edgehalla
Cole Koepke headshotWinnipeg Jets logo

Winnipeg Jets

Cole Koepke

24.2

#45Left Wing6'1"205 lb

0.0 in 2 days
2025-26 regular season
66
GP
8
G
9
A
17
P
86
SOG
9.3% SH
10:28
TOI/GP

LW · WPG · NHL id 8481043

Cole Koepke has played 66 games for the Winnipeg Jets in 2025-26, scoring 8 goals and 9 assists (17 points) on 86 shots while averaging 10:28 a night (8:38 at even strength, 0:01 on the power play and 1:44 shorthanded). At 5v5 he has skated 68% of his 5v5 minutes with Jonathan Toews and 39% with Dylan DeMelo over the last 10 games, and the Jets have controlled 47% of shot attempts with Koepke on the ice (19-18 in goals, 38% offensive-zone starts). In the Jets' most recent game against SJS he was on L4 with Nikita Chibrikov and Brayden Yager and off the power play. He is shooting 9.3% this season against 9.9% across the 165 games in our data.

Right now

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

Power play
No PP unit
Penalty kill
PK1F
Nikita Chibrikov
Last 5: L4 · L3 · L4 · L4 · L4

Deployment timeline

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

Usage: 20 games, 11:20 average time on ice, PP1 in 0 games, 6 line changes.

PPLine44444443▲34▼3▲33334▼3▲4▼440m3m7m10m13m17mMar 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, 11:20 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 speed98th9924.2 mph
Bursts 20+ mph93rd93189
Hardest shot81st8289.7 mph
Offensive-zone time1st236.8%
Distance skated43rd44111.2 mi
High-danger SOG43rd4323
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 · 166 attempts, 86 on goal, 8 goals

Shot map, OPP at WPG: 166 attempts, 86 on goal, 8 goals, 8.94 expected goals; best chance Cole Koepke at 0.36 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 · 66 GP · 17 points vs 14.6 expected

Luck Meter →
Hold

Last 20 games: -21. Positive means running hot (sell), negative running cold (buy).

9.3%
101.3
85.0%
G vs xG
8 / 8.2
  • • Role rose over the last 10 games (TOI up 2:47 a game, 2 promotion events): some of the heat may be real.
Goals against expected goals
0246810-0.2goals below expected-0.1σ10/94/16
  • 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 played66
  • Goals8344th
  • Assists9493rd
  • Points17442nd
  • Power-play points0437th
  • Shorthanded points1111th
  • Shots on goal86369th
  • Hits18634th
  • Blocked shots19596th
  • Plus/minus+1283rd
  • Penalty minutes16507th
  • 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 · 65 of 66 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.025
Season net
−0.24xG

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

MethodLeaders
Per 60
2.32
Attempts
22
0.072

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

MethodLeaders
Season
+0.20G
Per 60
+0.018
Drawn / taken
9 / 8minors

MethodLeaders
42.1%
44.0%
42.1%
Transition CF/60
5.0
Turnovers won/60
17.9
Turnovers lost/60
20.0

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

MethodLeaders
  • More of his shots than the league
  • Fewer
86 shots on goal, 8 goals, all situations
AreaHis shareLeagueG
R Circle20%12%1
R Point0%6%0
Center Point5%9%0
L Circle16%13%0
L Point2%5%0
Outside L7%4%0
L Net Side1%3%0

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 16, 2026 vs SJSOdd-man rushcarry070.31-on-0
Mar 28, 2026 @ COLRushcarry021.5—
Mar 21, 2026 @ PITOdd-man rushcarry1*24.82-on-1
Jan 27, 2026 @ NJDReboundloose321.02-on-0, rebound
Jan 24, 2026 vs DETOff the faceoff—224.7—
Jan 9, 2026 vs LAKForecheck turnoverloose2*68.2one-timer
Dec 6, 2025 @ EDMForecheck turnover—2*50.5—
Dec 5, 2025 vs BUFRushpass3*21.3—
Apr 8, 2025 @ NJDRushloose041.0—
Mar 8, 2025 @ TBLRushcarry069.6one-timer
Mar 8, 2025 @ TBLForecheck turnovercarry12.81-on-0
Jan 5, 2025 vs NYIDeflectioncarry06.22-on-1
Dec 28, 2024 vs CBJRushcarry063.5—
Dec 1, 2024 vs MTLOdd-man rushcarry040.92-on-1
Nov 7, 2024 vs CGYReboundcarry017.5rebound
Oct 19, 2024 @ UTAOdd-man rushpass168.62-on-1
Oct 16, 2024 @ COLDeflection—2*41.2deflection
Oct 10, 2024 vs MTLReboundcarry012.02-on-1, rebound

* 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 Koepke

TeammatePosGPShareCF% togetherGF% togetherCF% Koepke apartCF% mate apart
Morgan BarronC44272:1248%44.8%48% (10-11)43.0% 94:3947.5% 173:57
Dylan DeMeloD60201:1235%43.8%54% (7-6)48.7% 326:4150.2% 898:18
Tanner PearsonLW30196:1034%42.3%65% (11-6)40.0% 44:5849.4% 79:57
Josh MorrisseyD57163:2429%44.3%57% (8-6)48.5% 343:3950.3% 961:30
Dylan SambergD48150:2326%53.7%78% (7-2)46.5% 279:0652.5% 753:20
Logan StanleyD42143:4225%43.3%55% (6-5)42.1% 201:4445.4% 505:03
Jonathan ToewsC23140:5225%51.6%75% (3-1)47.5% 78:1540.0% 106:34
Haydn FleuryD33107:4219%41.2%25% (2-6)47.6% 189:4342.5% 309:07
Neal PionkD38105:2019%54.3%50% (3-3)42.1% 245:5448.6% 577:35
Luke SchennD3399:4618%43.3%33% (2-4)50.2% 173:2240.7% 281:43
Brad LambertC1790:3716%48.1%43% (3-4)47.9% 70:2455.5% 66:50
Gustav NyquistC1584:2215%46.5%25% (1-3)48.1% 44:2746.8% 64:51
Elias SalomonssonD2769:3712%51.7%50% (2-2)47.8% 170:4254.2% 367:06
Parker FordC1169:2712%42.6%33% (1-2)52.2% 39:3542.6% 31:13

Game log

66 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16vs SJSL 1-6101+12021—11:529:59—1:53
Apr 14@ UTAL 3-500000041—12:468:29—4:17
Apr 13@ VGKL 2-600001022—16:068:54—7:12
Apr 11vs PHIL 1-7011+13020—13:3711:530:071:37
Apr 9@ STLW 3-200001031—11:467:47—3:13
Apr 6vs SEAW 6-2000-13032—10:5410:54——
Apr 4@ CBJW 2-100003022—11:5511:55——
Apr 2@ DALL 0-3000-10000—12:3411:240:031:07
Mar 31@ CHIW 4-300003240—14:1213:15—0:57
Mar 28@ COLW 4-2101+12061—12:2911:100:040:41
Mar 26vs COLL 2-3000-13010—9:497:380:101:54
Mar 24vs VGKW 4-100001030—16:1011:080:033:22
Mar 22@ NYRW 3-200003030—11:1210:13—0:59
Mar 21@ PITOTL 4-5101+11010—10:089:42—0:26
Mar 19@ BOSL 1-600000010—9:419:21—0:20
Mar 17vs NSHOTL 3-4000-21050—7:036:36—0:27
Mar 15vs STLW 3-2000+12050—9:108:36—0:34
Mar 14vs COLW 3-100001030—7:256:17—1:08
Mar 12vs NYRL 3-600002030—11:0210:03—0:59
Mar 10vs ANAL 1-4000-12010—9:578:23—1:34

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations66690:1610:2852778340.2%40.3%259378203338%21.340.823%
Even strength66569:368:3849556846.6%46.7%234263191851%18.325.238%
5v566569:208:3849556846.6%46.7%234263191851%18.325.238%
Power play80:460:0600——0000—0.00.0100%
Penalty kill61114:471:533120313.2%15.9%251071147%2.814.71%
4v561114:471:533120313.2%15.9%251071147%2.814.71%
4v6, opponent net empty43:020:461516.7%20.0%0200—0.20.40%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WPG668917+116869.3%1861910:28
2024-25BOS7310717+1178511.8%1772611:15
2023-24TBL90220090.0%2316:42
2022-23TBL17101-52128.3%3259:06

Cole Koepke 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.