Edgehalla
Denton Mateychuk headshotColumbus Blue Jackets logo

Columbus Blue Jackets

Denton Mateychuk

#5Defenseman5'11"183 lb

+40.1 in 3 days
2026-27 regular season
1
GP
0
G
1
A
1
P
2
SOG
0.0% SH
27:28
TOI/GP

D · CBJ · NHL id 8483485

Denton Mateychuk has played 1 game for the Columbus Blue Jackets in 2026-27, scoring 0 goals and 1 assist (1 points) on 2 shots while averaging 27:28 a night (24:06 at even strength, 1:05 on the power play and 1:59 shorthanded). At 5v5 he has skated 65% of his 5v5 minutes with Zach Werenski and 44% with Cole Sillinger in his only game so far, and the Blue Jackets have controlled 47% of shot attempts with Mateychuk on the ice (1-1 in goals, 0% offensive-zone starts). In the Blue Jackets' most recent game against BUF he was on D1 with Zach Werenski and on PP2.

Right now

From the Oct 1 game vs BUF, detected from shift data

Last 1: D1/PP2
Ascension65Risinglast 1 games vs previous 20 (incl. last season), through Oct 2, 2026
  • +10:16 TOI a game
  • 27% of team PP time (was 9%)
  • 1 P in last 1 (0.35/GP before)
  • Top-four D in 1 of last 1 (was 13 of 20)

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 1 games, 27:10 average time on ice, PP1 in 0 games, 0 line changes.

PPLine10m8m17m25m33mOct 1
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 27:10 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

Only 1 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed74th7422.3 mph
Bursts 20+ mph91st9277
Hardest shot43rd4389.2 mph
Offensive-zone time31st3240.5%
Distance skated73rd73214.2 mi
High-danger SOG84th859
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

2026-27 · 3 attempts, 2 on goal, 0 goals

Shot map, OPP at CBJ: 3 attempts, 2 on goal, 0 goals, 0.04 expected goals; best chance Denton Mateychuk at 0.02 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 · 75 GP · 31 points vs 26.5 expected

Luck Meter →
Hold(softened from Sell high by the sustainability check)

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

14.8%
100.6
46.3%
G vs xG
13 / 7.3
  • • Role rose over the last 10 games (PP share 10% → 18%, 5 promotion events): some of the heat may be real.
  • • Shot diet improved: 0.055 xG per attempt lately vs 0.044 before (more from the slot).
Goals against expected goals
0510+5.7goals above expected2.1σ10/94/14
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

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

  • 2026-27 so far: 1 GP, 0 G, 1 A, 0 PPP, 2 SOG.

Fantasy box score

  • Games played75
  • Goals13227th
  • Assists18292nd
  • Points31278th
  • Power-play points3311th
  • Shorthanded points1111th
  • Shots on goal88360th
  • Hits26583rd
  • Blocked shots92109th
  • Plus/minus+12103rd
  • Penalty minutes8640th
  • 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 · 73 of 75 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.073
Season net
−1.48xG

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

MethodLeaders
Per 60
0.64
Attempts
13
0.027

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

MethodLeaders
Season
+1.02G
Per 60
+0.043
Drawn / taken
9 / 4minors

MethodLeaders
50.9%
51.8%
51.1%
Transition CF/60
5.3
Turnovers won/60
23.0
Turnovers lost/60
20.8

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

MethodLeaders
  • More of his shots than the league
  • Fewer
88 shots on goal, 13 goals, all situations
AreaHis shareLeagueG
Low Slot9%23%4
Center Point18%9%2
L Point13%5%0
R Point13%6%0
R Circle8%12%3
L Circle9%13%1
High Slot5%7%1

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 2, 2026 @ CARRebound—011.1rebound
Mar 28, 2026 vs SJSForecheck turnover—1*61.4—
Mar 17, 2026 vs CAROff the faceoff—055.7—
Jan 31, 2026 @ STLRushcarry044.4—
Mar 9, 2026 vs LAKDeflection—230.4deflection
Jan 3, 2026 vs BUFRushcarry160.6—
Dec 29, 2025 @ OTTDeflection—240.1deflection
Dec 1, 2025 @ NJDDeflectioncarry017.75-on-4
Nov 24, 2025 @ WSHReboundloose051.41-on-0, rebound
Nov 13, 2025 vs EDMRebound—354.6rebound
Nov 2, 2025 @ NYIOdd-man rushpass027.23-on-2
Oct 24, 2025 vs WSHRebound—040.0one-timer, rebound
Oct 21, 2025 @ DALRushcarry159.9—
Mar 28, 2025 vs VANForecheck turnovercarry2*76.42-on-1, one-timer
Mar 1, 2025 vs DETRebound—058.2rebound
Feb 22, 2025 vs CHIOdd-man rushcarry075.65-on-4
Jan 9, 2025 vs SEARebound—034.5rebound

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without Mateychuk

TeammatePosGPShareCF% togetherGF% togetherCF% Mateychuk apartCF% mate apart
Zach WerenskiD115:1665%45.8%100% (1-0)50.0% 8:0918.2% 6:02
Cole SillingerC110:1344%50.0%100% (1-0)43.8% 13:1237.5% 3:38
Mathieu OlivierRW19:3841%46.2%100% (1-0)47.1% 13:4737.5% 3:18
Charlie CoyleC19:1339%46.2%100% (1-0)47.1% 14:1228.6% 3:39
Danton HeinenLW17:2932%38.5%0% (0-1)52.9% 15:5675.0% 2:57
Ryan LombergLW16:2728%40.0%— (0-0)50.0% 16:5875.0% 2:54
Conor GarlandRW15:3324%40.0%— (0-0)50.0% 17:5244.4% 5:35
Carson SoucyD15:0522%33.3%0% (0-1)48.1% 18:2040.0% 12:48
Valeri NichushkinRW14:4921%50.0%0% (0-1)46.4% 18:3614.3% 7:33
Adam FantilliC13:5417%75.0%— (0-0)42.3% 19:3140.9% 10:13
Dmitri VoronkovLW13:3515%50.0%— (0-0)46.4% 19:5033.3% 5:41
Sean MonahanC13:2415%100.0%— (0-0)44.8% 20:0116.7% 7:36
Matthew KniesLW13:0213%50.0%— (0-0)46.2% 20:2336.8% 9:58
Kent JohnsonC12:4712%50.0%0% (0-1)46.2% 20:3840.0% 9:43

Linemate and opposition quality

2025-26 · 5v5 · 1,229 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

51.1%

teammates' average xGF%

73rd percentile · higher = stronger linemates

29.0%

opponents' average ice-time share

62nd percentile · higher = faces more top-line minutes

Plays with stronger-than-usual linemates.

QoT averages the season xGF% of Mateychuk's 5v5 teammates; QoC averages how much of their team's ice time Mateychuk's opponents get, so a high QoC means facing top lines. Both are weighted by time shared on the ice, lean on last season for small samples, and are ranked within forwards or defence.

Game log

1 game in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 1vs BUFW 6-301102000—27:2824:061:051:59

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations127:2827:28182146.2%47.1%13143260%1.71.033%
Even strength124:0624:06151746.9%46.4%10121233%1.00.733%
5v5123:2523:25141646.7%46.2%9111150%0.90.70%
Power play11:051:0510100.0%100.0%1010100%0.20.0—
Penalty kill11:591:591420.0%25.0%1200—0.00.3—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27CBJ10110020.0%0027:28
2025-26CBJ75131831+1288814.8%269219:11
2024-25CBJ454913+420449.1%266318:02

Denton Mateychuk 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.