Edgehalla
Matt Luff headshotSt. Louis Blues logo

St. Louis Blues

Matt Luff

#39Right Wing6'3"225 lb

0.0 in 2 days
2025-26 regular season
5
GP
1
G
0
A
1
P
5
SOG
20.0% SH
9:08
TOI/GP

RW · STL · NHL id 8479644

Matt Luff has played 5 games for the St. Louis Blues in 2025-26, scoring 1 goal and 0 assists (1 points) on 5 shots while averaging 9:08 a night (8:59 at even strength, 0:09 on the power play and 0:00 shorthanded). At 5v5 he has skated 71% of his 5v5 minutes with Oskar Sundqvist and 41% with Logan Mailloux over the last 5 games, and the Blues have controlled 47% of shot attempts with Luff on the ice (1-3 in goals, 54% offensive-zone starts). In the Blues' most recent game against NYR he was on L4 with Oskar Sundqvist and Mathieu Joseph and off the power play. He is shooting 20.0% this season against 11.5% across the 111 games in our data.

Right now

From the Dec 18 game vs NYR, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Last 5: L4 · L4 · L4 · L2 · L4

Deployment timeline

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

Usage: 5 games, 9:08 average time on ice, PP1 in 0 games, 1 line changes.

PPLine4442▲40m3m7m10m13mDec 7Dec 9Dec 11Dec 12Dec 15Dec 17Dec 18
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
5 games shown, 9:08 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 5 GP in 2025-26: NHL EDGE percentiles are noisy before about 15-20 games.

Top speed19th2021.5 mph
Bursts 20+ mph6th63
Hardest shot50th5084.9 mph
Offensive-zone time65th6543.2%
Distance skated10th107.3 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 · 7 attempts, 5 on goal, 1 goal

Shot map, OPP at STL: 7 attempts, 5 on goal, 1 goal, 0.20 expected goals; best chance Matt Luff at 0.13 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 · 5 GP · 1 points vs 0.7 expected

Luck Meter →
Hold

20.0%
91.9
100.0%
G vs xG
1 / 0.2
  • • Only 5 games: treat the meter as a hint.
Goals against expected goals
00.20.40.60.81+0.8goals above expected1.8σ12/712/18
  • 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

Usage

Special teams & discipline

Luck & trend

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2022-23 regular season · 18 of 19 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
+0.022
Season net
+0.07xG

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

MethodLeaders
Per 60
0.97
Attempts
3
0.049

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

MethodLeaders
Season
+0.66G
Per 60
+0.212
Drawn / taken
3.5 / 0minors

MethodLeaders
41.9%
44.8%
41.6%
Transition CF/60
3.2
Turnovers won/60
12.6
Turnovers lost/60
10.9

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

MethodLeaders
  • More of his shots than the league
  • Fewer
20 shots on goal, 2 goals, all situations
AreaHis shareLeagueG
Low Slot45%24%2
L Circle0%12%0
Outside R15%4%0
R Corner10%1%0
R Circle5%11%0
Outside L0%5%0
R Net Side0%4%0

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Dec 12, 2025 vs CHIOdd-man rushcarry3*78.83-on-2

* 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 Luff

TeammatePosGPShareCF% togetherGF% togetherCF% Luff apartCF% mate apart
Oskar SundqvistC531:4571%44.2%0% (0-3)52.2% 13:1133.3% 17:04
Logan MaillouxD518:1641%54.5%0% (0-2)40.5% 26:4038.7% 47:49
Tyler TuckerD517:1939%43.5%0% (0-1)48.1% 27:3748.4% 56:37
Justin FaulkD516:4737%36.8%50% (1-1)50.0% 28:0951.7% 78:06
Cam FowlerD515:5135%53.3%0% (0-2)42.2% 29:0545.8% 68:02
Alexey ToropchenkoRW212:0427%71.4%— (0-0)22.2% 7:3248.4% 12:27
Aleksanteri KaskimakiC211:5226%35.0%0% (0-2)50.0% 4:2544.4% 7:39
Philip BrobergD511:3326%41.7%100% (1-0)49.0% 33:2345.2% 80:07
Colton ParaykoD49:3021%42.9%— (0-0)51.1% 26:5342.1% 64:48
Hugh McGingLW17:5218%37.5%— (0-0)66.7% 1:11— 1:03
Dalibor DvorskyRW47:3417%33.3%— (0-0)52.3% 28:1939.7% 39:54
Mathieu JosephRW25:2612%75.0%— (0-0)53.8% 14:1052.9% 15:29
Dylan HollowayLW22:125%75.0%— (0-0)31.8% 14:0531.3% 30:55
Jonatan BerggrenRW11:333%20.0%— (0-0)50.0% 5:4779.2% 13:27

Game log

5 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Dec 18vs NYROTL 1-200000000—7:207:20——
Dec 15vs NSHL 2-500002020—13:0012:160:44—
Dec 12vs CHIW 3-210101030—9:039:03——
Dec 9vs BOSL 2-5000-12022—7:447:44——
Dec 7@ MTLW 4-3000-10012—8:338:33——

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations545:409:08354046.7%45.6%18221325%1.21.954%
Even strength544:568:59354046.7%45.6%18221325%1.21.954%
5v5544:568:59354046.7%45.6%18221325%1.21.954%
Power play10:440:4400——0000—0.00.0—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26STL5101-20520.0%849:08
2022-23DET19224-402010.0%2299:53
2021-22NSH23336+342611.5%2949:24
2020-21LAK13101-45185.6%8610:29
2019-20LAK18145-52254.0%16510:22
2018-19LAK338311-294517.8%171911:07

Matt Luff 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.