Edgehalla
Matt Read headshotMinnesota Wild logo

Minnesota Wild

Matt Read

#10Right Wing

2018-19 regular season
12
GP
1
G
0
A
1
P
13
SOG
7.7% SH
11:45
TOI/GP

RW · MIN · NHL id 8476177

Matt Read has played 12 games for the Minnesota Wild in 2018-19, scoring 1 goal and 0 assists (1 points) on 13 shots while averaging 11:45 a night (10:51 at even strength, 0:09 on the power play and 0:37 shorthanded). At 5v5 the Wild have controlled 51% of shot attempts with Read on the ice (5-7 in goals, 61% offensive-zone starts). In the Wild's most recent game against ARI he was on L1 with Eric Staal and Jason Zucker and off the power play; moved up to L3 (from L4) in the last game. He is shooting 7.7% this season against 9.1% across the 37 games in our data.

Right now

From the Mar 31 game vs ARI, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Moved up to L3 (from L4) in the last gameLast 5: L4 · L2 · L4 · L2 · L3

Deployment timeline

2018-19 · per-game ice time by strength, with line and power-play unit changes

Usage: 7 games, 11:57 average time on ice, PP1 in 0 games, 4 line changes.

PPLine3142▲4▼2▲3▼0m3m7m10m13m17mFeb 19Feb 22Feb 26Mar 3Mar 7Mar 11Mar 16Mar 19Mar 23Mar 29
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
7 games shown, 11:57 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

Puck and player tracking

Source: NHL EDGE

No NHL EDGE tracking data for this player yet. Edge covers 2021-22 onward and refreshes nightly.

Shot map

2018-19 · 22 attempts, 13 on goal, 1 goal

Shot map, OPP at MIN: 22 attempts, 13 on goal, 1 goal, 0.80 expected goals; best chance Matt Read 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).

Puck luck

2018-19 · cumulative goals against expected goals from his own shots

00.511.5+0.2goals above expected0.2σOct 19Mar 31
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2018-19 regular season · 12 of 12 games through the sequence engine

MethodLeaders
+0.013
Season net
+0.03xG

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

MethodLeaders
Per 60
1.39
Attempts
3
0.093

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

MethodLeaders
Season
−0.16G
Per 60
−0.069
Drawn / taken
0 / 1minors

MethodLeaders
46.3%
44.4%
46.4%
Transition CF/60
4.2
Turnovers won/60
17.2
Turnovers lost/60
13.5

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

Linemates

2018-19 · 5v5 time together and how each pairing performs with and without Read

No 5v5 pairing data this season yet.

Game log

12 games in 2018-19, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Mar 31@ ARIL 0-4000010110%10:109:33—0:34
Mar 29@ VGKW 3-2000-110000%13:2412:56——
Mar 25vs NSHL 0-100001000—8:368:130:130:10
Mar 23@ CARL 1-5000-12010—13:4112:25—1:16
Mar 22@ WSHW 2-100000011—10:439:26—0:37
Mar 8@ FLAL 2-6000-2002050%15:1714:20—0:57
Mar 2@ CGYW 4-2101+220230%13:1410:371:280:56
Oct 29@ VANL 2-500000001—8:347:28—1:06
Oct 27vs COLW 3-200003011—11:5310:350:041:14
Oct 25vs LAKW 4-100000011100%11:4311:13—0:30
Oct 20vs TBLW 5-400002020—10:5310:53——
Oct 19@ DALW 3-100001200—12:5512:27——

Season splits by strength

2018-19 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations12141:0311:4513914648.8%47.8%72735936%4.35.759%
Even strength12130:0610:5113713051.3%49.7%71675742%4.24.861%
5v512129:1710:4613713051.3%49.7%71675742%4.24.861%
Power play31:450:3500——0000—0.00.0100%
Penalty kill97:200:4921214.3%20.0%16020%0.10.60%
4v597:120:4821115.4%22.2%15010%0.10.50%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2018-19MIN12101-22137.7%11811:45
2017-18PlayoffsPHI6112+14425.0%13712:38
2017-18PHI19101-22166.3%211110:54

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.