Edgehalla
Parker Ford headshotWinnipeg Jets logo

Winnipeg Jets

Parker Ford

#25Center5'9"179 lb

0.0 in 3 days
2025-26 regular season
15
GP
0
G
1
A
1
P
10
SOG
0.0% SH
9:45
TOI/GP

C · WPG · NHL id 8484135

Parker Ford has played 15 games for the Winnipeg Jets in 2025-26, scoring 0 goals and 1 assist (1 points) on 10 shots while averaging 9:45 a night (8:55 at even strength, 0:02 on the power play and 0:41 shorthanded). At 5v5 he has skated 41% of his 5v5 minutes with Dylan DeMelo and 40% with Tanner Pearson over the last 10 games, and the Jets have controlled 43% of shot attempts with Ford on the ice (4-5 in goals, 48% offensive-zone starts). In the Jets' most recent game against CBJ he was on L4 with Jonathan Toews and Cole Koepke and off the power play; moved up to L3 (from L4) in the last game. He is shooting 0.0% this season against 8.3% across the 18 games in our data.

Right now

From the Apr 4 game vs CBJ, detected from shift data

Line
L4
Jonathan ToewsCole Koepke
Power play
No PP unit
Penalty kill
No PK unit
Moved up to L3 (from L4) in the last gameLast 5: L4 · L3 · L4 · L4 · L3

Deployment timeline

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

Usage: 4 games, 9:34 average time on ice, PP1 in 0 games, 2 line changes.

PPLine34▼43▲0m3m7m10m13mFeb 25Mar 1Mar 5Mar 10Mar 14Mar 17Mar 21Mar 24Mar 28Apr 2
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
4 games shown, 9:34 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 speed53rd5422.3 mph
Bursts 20+ mph34th3432
Hardest shot20th2180.2 mph
Offensive-zone time5th537.6%
Distance skated20th2025.3 mi
High-danger SOG7th81
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 · 25 attempts, 10 on goal, 0 goals

Shot map, OPP at WPG: 25 attempts, 10 on goal, 0 goals, 1.58 expected goals; best chance Parker Ford at 0.42 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 · 15 GP · 1 points vs 2.8 expected

Luck Meter →
Buy low

Last 20 games: -51. Positive means running hot (sell), negative running cold (buy).

0.0%
99.8
25.0%
G vs xG
0 / 1.5
  • • Role rose over the last 10 games (1 promotion event): some of the heat may be real.
Goals against expected goals
012-1.5goals below expected-1.2σ10/164/4
  • 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

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 · 14 of 15 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
+0.001
Season net
+0.00xG

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

MethodLeaders
Per 100 draws
−0.078
Season
−0.05G
45.5%66 draws

Wins by zone: OZ 8-6 · NZ 11-9 · DZ 11-21

MethodLeaders
Per 60
1.79
Attempts
4
0.111

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

MethodLeaders
Season
−0.20G
Per 60
−0.084
Drawn / taken
1 / 2minors

MethodLeaders
43.4%
34.6%
42.9%
Transition CF/60
4.5
Turnovers won/60
14.3
Turnovers lost/60
15.2

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

How the goals happened

1 goal since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Jan 30, 2025 @ BOSForecheck turnover—130.0—

* 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 Ford

TeammatePosGPShareCF% togetherGF% togetherCF% Ford apartCF% mate apart
Cole KoepkeLW1169:2752%42.6%33% (1-2)42.6% 31:1352.2% 39:35
Dylan DeMeloD1552:1139%43.9%33% (1-2)42.4% 81:3849.0% 232:09
Neal PionkD1446:1034%46.5%100% (2-0)40.4% 81:0345.7% 219:40
Tanner PearsonLW745:5234%46.8%33% (1-2)30.0% 10:3948.4% 14:20
Josh MorrisseyD1541:2231%40.2%50% (1-1)44.5% 92:2746.8% 251:31
Logan StanleyD1138:4529%40.3%50% (2-2)38.3% 56:5352.4% 157:02
Morgan BarronC627:2520%46.8%100% (1-0)39.1% 34:0046.1% 41:30
Haydn FleuryD926:0119%31.9%— (0-0)49.0% 58:3541.0% 83:14
Dylan SambergD620:4716%66.7%100% (1-0)45.1% 33:0949.0% 102:29
Luke SchennD819:1514%51.5%33% (1-2)37.9% 50:4243.5% 69:38
Jonathan ToewsC416:1312%73.1%— (0-0)41.0% 21:5852.6% 29:43
Nikita ChibrikovRW315:3312%39.3%— (0-0)30.0% 8:1955.6% 9:26
Isak RosenRW315:1811%45.8%50% (1-1)56.3% 11:00100.0% 5:30
Brad LambertC214:1811%20.7%100% (1-0)40.0% 4:4788.9% 3:27

Linemate and opposition quality

2025-26 · 5v5 · 134 min on ice · ranked against 510 forwards

46.9%

17th percentile · higher = stronger linemates

48.8%

2nd percentile · higher = tougher opponents

Sheltered minutes: mostly faces weaker opposition.

Each value is the ice-time-weighted average season xGF% of the skaters Ford 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

15 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 4@ CBJW 2-100000020—11:5311:53——
Apr 2@ DALL 0-300002020—9:129:090:03—
Mar 31@ CHIW 4-3000+11020100%8:108:10——
Mar 28@ COLW 4-2000-10011—9:008:590:01—
Nov 15@ CGYW 4-30000102142%10:099:09—1:00
Nov 13@ SEAL 3-50000100150%7:596:36—1:23
Nov 11@ VANW 5-3000-1002143%9:558:590:070:49
Nov 9@ ANAL 1-40000003050%11:048:250:192:20
Nov 7@ SJSL 1-2000-1100150%7:086:28—0:15
Nov 4@ LAKL 0-30000020050%7:437:200:010:22
Nov 1vs PITW 5-2011+1103325%13:0711:45—1:01
Oct 30vs CHIW 6-3000-1103367%9:248:36—0:27
Oct 28@ MINW 4-30000004043%8:588:18—0:40
Oct 18vs NSHW 4-10000122133%11:3810:07—1:01
Oct 16@ PHIW 5-20000101057%10:559:55—0:54

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations15146:159:4510716040.1%41.4%47634640%4.26.734%
Even strength15133:498:5510413843.0%44.0%45554544%4.15.548%
5v515133:498:5510413843.0%44.0%45554544%4.15.548%
Power play50:310:0610100.0%100.0%1000—0.00.0100%
Penalty kill1110:120:5621810.0%15.4%1500—0.10.90%
4v51110:120:5621810.0%15.4%1500—0.10.90%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26WPG15011-24100.0%27129:45
2024-25WPG3101+12250.0%517:50

Parker Ford 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.