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Maxim Shabanov headshotMinnesota Wild logo

Minnesota Wild

Maxim Shabanov

#49Right WingShoots L5'9"165 lb

+24.9 in 4 days
2026-27 regular season
2
GP
0
G
1
A
1
P
0
SOG
15:02
TOI/GP

RW · MIN · NHL id 8485702

Maxim Shabanov has played 2 games for the Minnesota Wild in 2026-27, scoring 0 goals and 1 assist (1 points) on 0 shots while averaging 15:02 a night (10:44 at even strength, 4:07 on the power play and 0:00 shorthanded). At 5v5 he has skated 89% of his 5v5 minutes with Danila Yurov and 74% with Kirill Kaprizov over the last 2 games, and the Wild have controlled 50% of shot attempts with Shabanov on the ice (0-0 in goals, 50% offensive-zone starts). In the Wild's most recent game against BOS he was on L4 with Kirill Kaprizov and Danila Yurov and on PP1; moved up to L2 (from L4) in the last game.

Right now

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

Moved up to L2 (from L4) in the last gameLast 2: L4/PP1 · L2/PP1
Ascension64Risinglast 2 games vs previous 20 (incl. last season), through Oct 3, 2026
  • PP1 in 2 of last 2 (was 3 of 20)
  • +2:56 PP TOI
  • 74% of 5v5 TOI with Kaprizov (was 0%)

Deployment timeline

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

Usage: 2 games, 14:51 average time on ice, PP1 in 2 games, 1 line changes.

PPLine42▲0m3m7m10m13m17mOct 1Oct 3
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 14:51 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 speed22nd2321.6 mph
Bursts 20+ mph45th4653
Hardest shot52nd5385.2 mph
Offensive-zone time14th1539.3%
Distance skated39th4097.8 mi
High-danger SOG25th259
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 · 4 attempts, 0 on goal, 0 goals

Shot map, OPP at MIN: 4 attempts, 0 on goal, 0 goals, 0.14 expected goals; best chance Maxim Shabanov at 0.08 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 · 44 GP · 18 points vs 17.3 expected

Luck Meter →
Hold

Last 20 games: +22. Positive means running hot (sell), negative running cold (buy).

8.9%
101.1
58.1%
G vs xG
5 / 6.1
  • • Role shrank over the last 10 games (TOI down 1:58 a game, PP share 31% → 20%, 3 demotion events): the cold spell may not be all luck.
  • • Shot diet worsened: 0.059 xG per attempt lately vs 0.081 before.
Goals against expected goals
02468-1.1goals below expected-0.5σ10/94/9
  • 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, 1 A, 1 PPP, 0 SOG.

Fantasy box score

  • Games played44
  • Goals5443rd
  • Assists13401st
  • Points18421st
  • Power-play points5261st
  • Shorthanded points0227th
  • Shots on goal56521st
  • Hits27576th
  • Blocked shots16630th
  • Plus/minus−5446th
  • Penalty minutes2701st
  • 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 · 43 of 44 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.054
Season net
−0.45xG

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

MethodLeaders
Per 60
1.90
Attempts
16
0.092

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

MethodLeaders
Season
+0.81G
Per 60
+0.081
Drawn / taken
5 / 1minors

MethodLeaders
44.9%
40.3%
44.7%
Transition CF/60
4.9
Turnovers won/60
19.4
Turnovers lost/60
23.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
56 shots on goal, 5 goals, all situations
AreaHis shareLeagueG
R Circle25%12%1
Low Slot16%23%2
R Point0%6%0
R Net Side7%3%0
L Net Side7%3%1
L Point4%5%0
High Slot5%7%0

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 4, 2026 @ CARDump and chasedump041.92-on-1
Dec 28, 2025 @ CBJReboundpass3*8.9rebound
Nov 20, 2025 @ DETRushcarry032.9—
Nov 20, 2025 @ DETOff the faceoff—051.2—
Oct 9, 2025 @ PITRushcarry1*73.2one-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 Shabanov

TeammatePosGPShareCF% togetherGF% togetherCF% Shabanov apartCF% mate apart
Danila YurovRW219:0489%46.4%— (0-0)75.0% 2:23100.0% 2:52
Kirill KaprizovLW215:5574%33.3%— (0-0)81.8% 5:3276.2% 11:45
Quinn HughesD28:5341%36.4%— (0-0)57.1% 12:3459.4% 30:46
Olli MaattaD28:0338%41.7%— (0-0)55.0% 13:2461.0% 27:02
Jared SpurgeonD27:2935%8.3%— (0-0)75.0% 13:5860.4% 24:10
Jonas BrodinD27:1434%80.0%— (0-0)36.4% 14:1360.6% 24:33
Zach BogosianD25:4627%72.7%— (0-0)38.1% 15:4139.3% 16:57
Daemon HuntD25:3626%75.0%— (0-0)41.7% 15:5132.0% 17:10
Yakov TreninC11:236%100.0%— (0-0)50.0% 10:4743.5% 11:54
Marcus FolignoLW11:186%100.0%— (0-0)38.5% 7:5962.5% 9:25
Michael McCarronC11:045%100.0%— (0-0)50.0% 11:0678.6% 12:06
Blake ColemanLW11:035%83.3%— (0-0)36.4% 11:0738.9% 9:56

Linemate and opposition quality

2025-26 · 5v5 · 504 min on ice · ranked against 510 forwards · last season, until this season has enough games to rank

47.5%

teammates' average xGF%

25th percentile · higher = stronger linemates

28.7%

opponents' average ice-time share

47th percentile · higher = faces more top-line minutes

Plays with weaker-than-usual linemates.

QoT averages the season xGF% of Shabanov's 5v5 teammates; QoC averages how much of their team's ice time Shabanov'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
13.6
min per 60
Tied
13.8
min per 60
Trailing
13.5
min per 60

Shabanov's ice time barely changes with the score. Power play: 1.6 min per 60 trailing, against 2.0 leading. On the ice for 24% of the team's 6-on-5 time (4:40 of 19:16).

Garbage time: 0 of 1 points (0%) came with the team up or down 3+. League garbage-time table

Next game at BUF (2026-10-06): team win probability ≈45%, projected 15:14 TOI. Game-script forecast

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 3vs BOSW 4-101100011—14:5512:102:45—
Oct 1@ NSHW 3-100000000—15:099:175:29—

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations230:0415:02361767.9%73.0%17610100%2.00.483%
Even strength221:2710:44161650.0%59.1%6600—0.60.450%
5v5221:2710:44161650.0%59.1%6600—0.60.450%
Power play28:144:0718194.7%92.9%10010100%1.40.0100%
5v425:422:5111191.7%90.0%7010100%0.90.0100%
5v322:321:1670100.0%100.0%3000—0.50.0—

Career by season

Regular season and playoffs since 2025-26. Seasons link to the team's stats that year; column headers open the league leaderboards.

SeasonTeamGPGAP+/-PIMSOGPPPSHPGWGHITBLKTKGVFOWFO%TOI/GP
2026-27MIN2011000—10011120—15:02
2025-26NYI4451318-52568.9%5002716113500.0%13:41
  • Completed seasons use the NHL's official power-play and shorthanded totals.
  • Recording changed in 2024-25: giveaways roughly doubled and takeaways fell by a third, so compare within a season.

Maxim Shabanov 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.