Edgehalla
Mikhail Sergachev headshotUtah Mammoth logo

Utah Mammoth

Mikhail Sergachev

23.8

#98Defenseman6'3"209 lb

0.0 in 2 days
2026-27 regular season
1
GP
0
G
1
A
1
P
3
SOG
0.0% SH
22:57
TOI/GP

D · UTA · NHL id 8479410

Mikhail Sergachev has played 1 game for the Utah Mammoth in 2026-27, scoring 0 goals and 1 assist (1 points) on 3 shots while averaging 22:57 a night (18:27 at even strength, 1:45 on the power play and 2:45 shorthanded). At 5v5 he has skated 88% of his 5v5 minutes with MacKenzie Weegar and 37% with Clayton Keller in his only game so far, and the Mammoth have controlled 60% of shot attempts with Sergachev on the ice (1-0 in goals, 20% offensive-zone starts). In the Mammoth's most recent game against CHI he was on D1 with MacKenzie Weegar and on PP1.

Right now

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

Last 1: D2/PP1
Ascension49Steadylast 1 games vs previous 20 (incl. last season), through Oct 1, 2026
  • −1:17 PP TOI

Deployment timeline

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

Usage: 1 games, 22:57 average time on ice, PP1 in 1 games, 0 line changes.

PPLine20m8m17m25mOct 1
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
1 games shown, 22:57 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 speed99th9923.8 mph
Bursts 20+ mph92nd9387
Hardest shot93rd9499.0 mph
Offensive-zone time83rd8343.8%
Distance skated92nd93257.3 mi
High-danger SOG64th655
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 · 6 attempts, 3 on goal, 0 goals

Shot map, OPP at UTA: 6 attempts, 3 on goal, 0 goals, 0.16 expected goals; best chance Mikhail Sergachev at 0.06 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 · 78 GP · 59 points vs 50.1 expected

Luck Meter →
Hold

Last 20 games: +9. Positive means running hot (sell), negative running cold (buy).

6.3%
99.0
50.0%
G vs xG
10 / 9.0
  • • Role shrank over the last 10 games (3 demotion events): the cold spell may not be all luck.
Goals against expected goals
024681012+1.0goals above expected0.3σ10/94/16
  • 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, 3 SOG.

Fantasy box score

  • Games played78
  • Goals10308th
  • Assists4932nd
  • Points5985th
  • Power-play points2633rd
  • Shorthanded points238th
  • Shots on goal159127th
  • Hits38478th
  • Blocked shots12545th
  • Plus/minus+2256th
  • Penalty minutes44144th
  • 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 · 78 of 78 games through the sequence engine

MethodLeaders
−0.065
Season net
−1.44xG

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

MethodLeaders
Per 60
0.49
Attempts
11
0.003

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

MethodLeaders
Season
−1.63G
Per 60
−0.052
Drawn / taken
14 / 22minors

MethodLeaders
50.7%
47.6%
51.1%
Transition CF/60
5.3
Turnovers won/60
21.2
Turnovers lost/60
21.1

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

MethodLeaders
  • More of his shots than the league
  • Fewer
159 shots on goal, 10 goals, all situations
AreaHis shareLeagueG
Center Point29%9%6
Low Slot4%23%0
L Point18%5%1
R Circle7%12%3
L Circle8%13%0
L Net Side0%3%0
R Net Side0%3%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 3, 2026 @ WSHPoint shot—6*74.2—
Feb 2, 2026 vs VANPoint shot—583.7one-timer
Jan 27, 2026 @ FLADeflection—218.2—
Jan 11, 2026 vs CBJDump and chasedump2*69.7—
Jan 1, 2026 @ NYIPoint shot—2*67.4—
Dec 29, 2025 vs NSHForecheck turnover—375.5one-timer
Nov 5, 2025 @ TORDeflectiondump267.3deflection
Oct 26, 2025 @ WPGOff the faceoff—143.7—
Oct 21, 2025 vs COLDump and chasedump053.2—
Apr 8, 2025 vs SEACycle—5*41.9—
Mar 30, 2025 @ CHICycle—012.6—
Mar 20, 2025 vs BUFDeflectiondump022.04-on-0, deflection
Mar 20, 2025 vs BUFOff the faceoff—168.6—
Mar 1, 2025 vs NJDForecheck turnover—151.6one-timer
Feb 4, 2025 vs PHIForecheck turnovercarry171.2one-timer
Jan 29, 2025 vs PITForecheck turnover—1*79.8—
Dec 18, 2024 vs VANRushcarry020.5—
Dec 7, 2024 @ BUFReboundpass464.6one-timer, rebound
Nov 26, 2024 @ MTLReboundcarry3*21.5rebound
Nov 23, 2024 @ PITRushcarry4*66.0—
Nov 15, 2024 vs VGKForecheck turnover—175.3—
Nov 13, 2024 vs CAROdd-man rushcarry273.03-on-2
Oct 30, 2024 vs CGYCyclecarry3*68.44-on-2
Oct 28, 2024 vs SJSPoint shot—2*67.2—
Nov 18, 2023 vs EDMOff the faceoff—056.7—
Nov 16, 2023 @ CHIForecheck turnover—178.2one-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 Sergachev

TeammatePosGPShareCF% togetherGF% togetherCF% Sergachev apartCF% mate apart
MacKenzie WeegarD116:0888%60.0%— (0-0)57.1% 2:14100.0% 2:28
Clayton KellerRW16:4637%68.8%100% (1-0)53.8% 11:3666.7% 9:12
Nick SchmaltzC16:3536%64.7%100% (1-0)56.0% 11:4750.0% 8:12
Vincent TrocheckC15:4631%84.6%100% (1-0)48.3% 12:3650.0% 8:54
Lawson CrouseLW15:3030%58.3%— (0-0)60.0% 12:5266.7% 7:15
Jack McBainC14:5226%54.5%— (0-0)61.3% 13:3072.7% 7:28
Barrett HaytonC14:3225%88.9%— (0-0)51.5% 13:5083.3% 8:19
Daniil ButLW14:3225%9.1%— (0-0)77.4% 13:5090.0% 6:27
Michael CarconeLW14:0923%11.1%— (0-0)72.7% 14:1376.9% 7:22
Kevin StenlundC13:5621%12.5%— (0-0)70.6% 14:2690.9% 6:44
Anders LeeLW12:5616%75.0%— (0-0)55.9% 15:2644.4% 8:02
Logan CooleyC12:4915%100.0%— (0-0)54.1% 15:3344.4% 9:47
Dylan GuentherRW12:2113%100.0%— (0-0)52.8% 16:0145.0% 10:23
John MarinoD11:207%100.0%— (0-0)58.5% 17:0255.6% 17:11

Game log

1 game in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 1vs CHIW 6-0011+13032—22:5718:271:452:45

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations122:5722:57301862.5%69.2%16630100%1.70.425%
Even strength118:2718:27251759.5%65.7%13610100%1.30.420%
5v5118:2218:22251759.5%65.7%13610100%1.30.420%
Power play11:451:4550100.0%100.0%3020100%0.40.0100%
Penalty kill12:452:45010.0%—0000—0.00.00%
4v512:452:45010.0%—0000—0.00.00%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27UTA1011+1030.0%3222:57
2025-26PlayoffsUTA60550470.0%51527:25
2025-26UTA78104959+2441596.3%3812524:18
2024-25UTA77153853-83213211.4%6114025:07
2023-24PlayoffsTBL2011-3020.0%1417:43
2023-24TBL3421719-1616533.8%366922:33
2022-23PlayoffsTBL6123-416119.1%162226:55
2022-23TBL79105464+13531566.4%12814923:49
2021-22PlayoffsTBL232810+718267.7%524222:17
2021-22TBL7873138+6591494.7%13912322:28
2020-21PlayoffsTBL23033018280.0%584521:52
2020-21TBL5642630+5301083.7%667321:58
2019-20TBL70102434+15581188.5%1069920:22
2018-19PlayoffsTBL4112-40911.1%8418:49
2018-19TBL7562632+12281284.7%979317:55
2017-18PlayoffsTBL17235+112267.7%18812:16
2017-18TBL7993140+11381416.4%906415:22

Mikhail Sergachev 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.