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Matt Boldy headshotMinnesota Wild logo

Minnesota Wild

Matt Boldy

#12Left WingShoots L6'2"198 lb

-0.2 in 4 days
2026-27 regular season
2
GP
0
G
0
A
0
P
9
SOG
0.0% SH
19:47
TOI/GP

LW · MIN · NHL id 8481557

Matt Boldy has played 2 games for the Minnesota Wild in 2026-27, scoring 0 goals and 0 assists (0 points) on 9 shots while averaging 19:47 a night (12:17 at even strength, 4:15 on the power play and 1:51 shorthanded). At 5v5 he has skated 90% of his 5v5 minutes with Joel Eriksson Ek and 66% with Blake Coleman over the last 2 games, and the Wild have controlled 56% of shot attempts with Boldy on the ice (1-1 in goals, 63% offensive-zone starts). In the Wild's most recent game against BOS he was on L2 with Blake Coleman and Joel Eriksson Ek and on PP1; dropped to L2 (from L1) in the last game. He is shooting 0.0% this season against 12.7% across the 392 games in our data.

Right now

From the Oct 3 game vs BOS, detected from shift data

Dropped to L2 (from L1) in the last gameLast 2: L1/PP1 · L2/PP1
Ascension61Risinglast 2 games vs previous 20 (incl. last season), through Oct 3, 2026
  • ixG/60 2.57 (was 0.90)
  • +0:59 PP TOI

Deployment timeline

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

Usage: 2 games, 18:23 average time on ice, PP1 in 2 games, 1 line changes.

PPLine12▼0m3m7m10m13m17m20mOct 1Oct 3
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 18:23 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 2 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed52nd5222.3 mph
Bursts 20+ mph67th6893
Hardest shot94th9493.6 mph
Offensive-zone time84th8444.9%
Distance skated93rd93238.7 mi
High-danger SOG95th9684
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 · 19 attempts, 9 on goal, 0 goals

Shot map, OPP at MIN: 19 attempts, 9 on goal, 0 goals, 1.69 expected goals; best chance Matt Boldy at 0.88 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 · 76 GP · 85 points vs 74.7 expected

Luck Meter →
Sell high

Last 20 games: +11. Positive means running hot (sell), negative running cold (buy).

16.5%
103.0
71.4%
G vs xG
42 / 33.6
  • • Role shrank over the last 10 games (TOI down 2:01 a game, 4 demotion events): the cold spell may not be all luck.
  • • Shot diet worsened: 0.060 xG per attempt lately vs 0.085 before.
Goals against expected goals
010203040+8.4goals above expected1.4σ10/94/11
  • 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.

  • 2026-27 so far: 2 GP, 0 G, 0 A, 0 PPP, 9 SOG.

Fantasy box score

  • Games played76
  • Goals429th
  • Assists4349th
  • Points8519th
  • Power-play points3014th
  • Shots on goal25415th
  • Hits60337th
  • Blocked shots58207th
  • Plus/minus+1847th
  • Penalty minutes30294th
  • Faceoffs won55210th

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 · 76 of 76 games through the sequence engine

MethodLeaders
−0.034
Season net
−0.60xG

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

MethodLeaders
Per 100 draws
−0.044
Season
−0.06G
44.4%124 draws

Wins by zone: OZ 42-45 · NZ 3-12 · DZ 10-12

MethodLeaders
Per 60
1.56
Attempts
27
0.078

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

MethodLeaders
Season
+2.04G
Per 60
+0.078
Drawn / taken
25 / 15minors

MethodLeaders
51.9%
51.5%
51.9%
Transition CF/60
4.4
Turnovers won/60
18.7
Turnovers lost/60
19.9

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

MethodLeaders
  • More of his shots than the league
  • Fewer
254 shots on goal, 42 goals, all situations
AreaHis shareLeagueG
R Net Side7%3%3
L Point2%5%0
R Circle15%12%6
Center Point6%9%0
Outside R2%4%0
L Circle11%13%4
R Point4%6%1

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
May 9, 2026 vs COLForecheck turnover—06.8—
Apr 30, 2026 vs DALForecheck turnover—03.2—
Apr 30, 2026 vs DALOdd-man rushcarry028.41-on-0
Apr 28, 2026 @ DALCycle—266.9—
Apr 25, 2026 vs DALDeflection—027.7deflection
Apr 18, 2026 @ DALPoint shot—061.4—
Apr 18, 2026 @ DALCycle—03.1—
Apr 7, 2026 vs SEADeflectioncarry014.02-on-1, rebound
Apr 5, 2026 @ DETOdd-man rushcarry062.43-on-1
Apr 2, 2026 vs VANOdd-man rushloose048.01-on-0
Apr 2, 2026 vs VANForecheck turnover—152.3—
Mar 14, 2026 vs NYROdd-man rushcarry156.45-on-4
Mar 12, 2026 vs PHIRushcarry267.0—
Mar 10, 2026 vs UTAOdd-man rushcarry070.02-on-1, one-timer
Feb 27, 2026 @ UTAForecheck turnover—1*14.9—
Feb 26, 2026 @ COLOdd-man rushpass256.82-on-1
Feb 26, 2026 @ COLPoint shot—060.1—
Feb 4, 2026 @ NSHRushpass18.5—
Feb 4, 2026 @ NSHDeflection—15.4—
Feb 4, 2026 @ NSHOdd-man rushcarry042.21-on-0
Jan 29, 2026 vs CGYDeflection—4*27.2one-timer
Jan 24, 2026 vs FLAOdd-man rushcarry163.01-on-0
Jan 10, 2026 vs NYICycle—7*67.9one-timer
Jan 3, 2026 @ LAKDeflectioncarry06.93-on-2
Dec 29, 2025 @ VGKOdd-man rushcarry044.12-on-1
Dec 27, 2025 @ WPGOdd-man rushcarry3*70.23-on-2, one-timer
Dec 27, 2025 @ WPGDeflection—130.2deflection
Dec 20, 2025 vs EDMCycle—4*65.4one-timer
Dec 20, 2025 vs EDMPoint shot—016.5—
Dec 18, 2025 @ CBJOdd-man rushcarry019.51-on-0
Dec 16, 2025 vs WSHRushloose153.3—
Dec 14, 2025 vs BOSRebound—013.8rebound
Dec 11, 2025 vs DALOdd-man rushpass123.21-on-0
Nov 29, 2025 vs BUFForecheck turnover—036.5—
Nov 26, 2025 @ CHIPoint shot—133.5—
Nov 21, 2025 @ PITDeflectionloose144.4deflection
Nov 21, 2025 @ PITDump and chasedump220.32-on-0
Nov 19, 2025 vs CAROdd-man rushcarry075.31-on-0
Nov 15, 2025 vs ANACycle—063.8—
Nov 11, 2025 vs SJSCycle—258.6one-timer

* 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 Boldy

TeammatePosGPShareCF% togetherGF% togetherCF% Boldy apartCF% mate apart
Joel Eriksson EkC222:0190%59.2%100% (1-0)0.0% 2:3250.0% 1:41
Blake ColemanLW216:1966%42.4%— (0-0)78.9% 8:1471.4% 4:56
Quinn HughesD214:3159%55.3%100% (1-0)57.1% 10:0256.8% 25:08
Jared SpurgeonD211:5549%56.3%100% (1-0)55.0% 12:3845.5% 19:44
Olli MaattaD27:2630%58.3%0% (0-1)55.0% 17:0756.1% 27:39
Jonas BrodinD27:1930%50.0%— (0-0)56.8% 17:1468.6% 24:28
Kirill KaprizovLW26:0325%83.3%100% (1-0)41.2% 18:3033.3% 21:37
Zach BogosianD24:5120%63.6%0% (0-1)53.7% 19:4242.9% 17:52
Daemon HuntD23:0713%33.3%— (0-0)57.1% 21:2643.3% 19:39

Linemate and opposition quality

2025-26 · 5v5 · 1,039 min on ice · ranked against 510 forwards · last season, until this season has enough games to rank

51.3%

teammates' average xGF%

72nd percentile · higher = stronger linemates

29.7%

opponents' average ice-time share

98th percentile · higher = faces more top-line minutes

Top-line role: strong linemates against the other team's best.

QoT averages the season xGF% of Boldy's 5v5 teammates; QoC averages how much of their team's ice time Boldy'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.

Usage by score state

2026-27, 2 games, topped up with last season.

Leading
19.3
min per 60
Tied
20.5
min per 60
Trailing
20.8
min per 60

Boldy plays 86 more seconds per 60 minutes when the team trails than when it leads: more minutes when chasing a game. Power play: 3.9 min per 60 trailing, against 3.4 leading. On the ice for 89% of the team's 6-on-5 time (7:30 of 8:25).

Next game at BUF (2026-10-06): team win probability ≈45%, projected 20:27 TOI (+0:02 from the expected script). Game-script forecast

Model rating
45.8%
90%: 42.0%–49.7% vs an average centre
2026-27
—
0 of 2 so far: too early for a percentage
Next game
1.6 FOW
2026-10-06 vs BUF: 3 draws at 51.1%, range 0–3

Rating adjusts for opponents, home ice and dot side. All faceoff leaders

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 3vs BOSW 4-1000+140210%18:0512:022:571:51
Oct 1@ NSHW 3-1000052000%21:2812:325:321:51

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations239:3319:47553362.5%59.7%29193175%4.41.746%
Even strength224:3412:17292355.8%53.3%15141150%1.21.363%
5v5224:3312:17292355.8%53.3%15141150%1.21.363%
Power play28:294:1518194.7%92.9%10010100%1.40.0100%
Penalty kill23:421:512528.6%33.3%2200—0.20.30%
5v425:572:5911191.7%90.0%7010100%0.90.0100%
4v523:421:512528.6%33.3%2200—0.20.30%
5v322:321:1670100.0%100.0%3000—0.50.0—
5v6, opponent net empty22:061:034450.0%50.0%1310100%1.50.1—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27MIN2000+1290.0%2119:47
2025-26PlayoffsMIN117613+544814.6%19823:36
2025-26MIN76424385+183025416.5%605820:34
2024-25PlayoffsMIN6527022025.0%12525:01
2024-25MIN82274673+15127110.0%526920:17
2023-24MIN75294069+54822712.8%333218:55
2022-23PlayoffsMIN6033-54240.0%5420:53
2022-23MIN81313263+13925512.2%652618:30
2021-22PlayoffsMIN6101-14137.7%3313:19
2021-22MIN47152439+171011313.3%232415:23

Matt Boldy 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.