Edgehalla
Zachary Aston-Reese headshotColumbus Blue Jackets logo

Columbus Blue Jackets

Zachary Aston-Reese

#27Center6'1"201 lb

0.0 in 2 days
2025-26 regular season
27
GP
1
G
4
A
5
P
17
SOG
5.9% SH
9:44
TOI/GP

C · CBJ · NHL id 8479944

Zachary Aston-Reese has played 27 games for the Columbus Blue Jackets in 2025-26, scoring 1 goal and 4 assists (5 points) on 17 shots while averaging 9:44 a night (9:00 at even strength, 0:02 on the power play and 0:36 shorthanded). At 5v5 he has skated 68% of his 5v5 minutes with Brendan Gaunce and 43% with Kent Johnson over the last 10 games, and the Blue Jackets have controlled 46% of shot attempts with Aston-Reese on the ice (6-7 in goals, 32% offensive-zone starts). In the Blue Jackets' most recent game against WPG he was on L4 with Miles Wood and Isac Lundeström and off the power play; moved up to L3 (from L4) in the last game. He is shooting 5.9% this season against 8.7% across the 441 games in our data.

Right now

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

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

Deployment timeline

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

Usage: 1 games, 12:54 average time on ice, PP1 in 0 games, 0 line changes.

PPLine30m3m7m10m13mFeb 28Mar 3Mar 7Mar 10Mar 14Mar 19Mar 22Mar 26Mar 29Apr 2
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 12:54 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 speed49th4922.2 mph
Bursts 20+ mph43rd4346
Hardest shot35th3582.8 mph
Offensive-zone time7th837.9%
Distance skated25th2642.2 mi
High-danger SOG22nd227
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 · 31 attempts, 17 on goal, 1 goal

Shot map, OPP at CBJ: 31 attempts, 17 on goal, 1 goal, 1.68 expected goals; best chance Zachary Aston-Reese at 0.19 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 · 27 GP · 5 points vs 3.9 expected

Luck Meter →
Hold

Last 20 games: -2. Positive means running hot (sell), negative running cold (buy).

5.9%
99.8
83.3%
G vs xG
1 / 1.5
Goals against expected goals
012-0.5goals below expected-0.4σ10/94/4
  • 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

  • Games played27
  • Goals1634th
  • Assists4620th
  • Points5655th
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal17698th
  • Hits78250th
  • Blocked shots17622nd
  • Plus/minus−1343rd
  • Penalty minutes12580th
  • Faceoffs won7329th

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 · 25 of 27 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.037
Season net
−0.15xG

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

MethodLeaders
Per 100 draws
−0.268
Season
−0.07G
28.0%25 draws

Wins by zone: OZ 3-7 · NZ 2-4 · DZ 2-7

MethodLeaders
Per 60
0.99
Attempts
4
0.050

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

MethodLeaders
Season
+0.00G
Per 60
+0.000
Drawn / taken
6 / 6minors

MethodLeaders
43.0%
45.6%
43.2%
Transition CF/60
3.9
Turnovers won/60
18.3
Turnovers lost/60
17.5

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

MethodLeaders
  • More of his shots than the league
  • Fewer
17 shots on goal, 1 goals, all situations
AreaHis shareLeagueG
Low Slot41%23%1
Center Point0%9%0
R Circle6%12%0
L Corner6%0%0
L Circle18%13%0
L Net Side0%3%0
R Net Side0%3%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Jan 17, 2026 @ PITOff the faceoff—050.8—
Apr 10, 2025 vs BUFForecheck turnover—056.2—
Apr 3, 2025 vs COLRushloose036.3—
Nov 15, 2024 vs PITDeflection—4*43.8deflection
Nov 12, 2024 @ SEADeflectiondump2*24.81-on-0
Oct 26, 2024 @ NSHRebound—035.5rebound
Oct 17, 2024 vs BUFDeflectioncarry260.7deflection

* 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 Aston-Reese

TeammatePosGPShareCF% togetherGF% togetherCF% Aston-Reese apartCF% mate apart
Isac LundeströmC16127:5353%42.0%44% (4-5)55.0% 25:1352.0% 33:28
Brendan GaunceC1286:5336%51.0%50% (2-2)54.2% 13:5841.9% 32:34
Ivan ProvorovD2785:1335%46.7%50% (3-3)45.2% 157:5449.8% 449:18
Denton MateychukD2479:0833%47.5%67% (2-1)43.8% 139:2352.0% 334:58
Zach WerenskiD2478:3832%49.7%50% (2-2)43.2% 141:3252.5% 407:21
Dante FabbroD2476:1931%45.0%100% (1-0)46.9% 144:3447.2% 281:38
Damon SeversonD2671:4229%43.9%50% (3-3)48.4% 158:3154.7% 388:10
Egor ChinakhovRW956:1423%48.9%50% (2-2)64.0% 22:2254.7% 28:15
Kent JohnsonC855:3323%46.2%0% (0-2)43.9% 14:2152.4% 19:49
Jake ChristiansenD1650:3821%43.6%0% (0-2)46.7% 99:1351.1% 115:56
Miles WoodLW634:5214%35.2%100% (1-0)41.9% 25:2744.4% 19:03
Luca Del Bel BelluzC216:277%41.4%— (0-0)75.0% 2:36— 1:29
Erik GudbransonD616:237%24.0%— (0-0)49.2% 37:4253.4% 63:06
Danton HeinenLW416:197%51.7%100% (1-0)38.9% 15:4958.1% 18:49

Game log

27 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 4vs WPGL 1-200000070—12:5412:54——
Jan 20vs OTTL 1-4000-20031100%7:426:51—0:51
Jan 17@ PITW 4-3101+11251—7:327:32——
Jan 8@ VGKL 3-500000061—10:2610:26——
Jan 6@ SJSL 2-500001201—7:397:08—0:24
Jan 4vs PITOTL 4-500000020—9:108:57—0:13
Jan 3vs BUFW 5-1011+100410%12:4810:37—1:58
Dec 31vs NJDL 2-300002041100%8:488:29——
Dec 29@ OTTW 4-100000031—7:057:05——
Dec 18vs MINL 2-5000-2023167%8:507:510:59—
Dec 1@ NJDW 5-300000000—7:016:48—0:13
Nov 28vs PITOTL 3-400000212100%7:237:23——
Nov 26vs TOROTL 1-2000020210%9:148:45—0:29
Nov 24@ WSHL 1-5000+10041—11:5310:50—1:03
Nov 18@ WPGL 2-500000040—9:499:49——
Nov 17vs MTLW 4-30000102050%12:5712:57——
Nov 10@ EDMOTL 4-500000220—9:199:14—0:05
Nov 5@ CGYL 1-5000-11020—10:4710:13—0:28
Nov 2@ NYIL 2-3000010310%9:089:08——
Oct 25@ PITW 5-4011+120200%9:058:28—0:31

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations27262:489:4420227142.7%41.8%911176940%8.413.029%
Even strength27243:079:0019623245.8%45.0%88996746%7.39.732%
5v527243:079:0019623245.8%45.0%88996746%7.39.732%
Power play10:590:5920100.0%100.0%2000—0.20.0100%
Penalty kill1716:200:581372.6%3.3%117020%0.03.38%
4v51716:070:571372.6%3.3%117020%0.03.38%
5v6, opponent net empty52:090:263260.0%66.7%0100—0.90.00%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26CBJ27145-112175.9%78179:44
2024-25CBJ7961117-15271015.9%1795813:27
2023-24DET30000210.0%305:09
2022-23PlayoffsTOR6101-20425.0%1648:53
2022-23TOR7710414-6258911.2%1634310:56
2021-22ANA, PIT6951015+928786.4%2314213:02
2020-21PlayoffsPIT611202714.3%18414:10
2020-21PIT459615+10157911.4%952414:37
2019-20PIT576713+628986.1%1363014:25
2018-19PlayoffsPIT4000-2050.0%14610:29
2018-19PIT438917+12267610.5%1383713:39
2017-18PlayoffsPIT9011-1490.0%1969:39
2017-18PIT16426+222020.0%55611:23

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.