Mikhail Sergachev
Fantasy Hub Player Intelligence

Mikhail Sergachev

UTA · D · Age 28
GP 12 · G-A-PTS 3-11-14
Limited sample STRONG OVERPERFORMANCE LOW confidence
Expected P/G 0.77 Limited sample · Rank appears after 20 GP
Current trajectory Early season 12 GP · 3Y baseline 0.69
Actual P/G 1.17 Limited sample
Deployment 93 #2 among D on team
Driver 95 #2 among D on team

Data sourcesOfficial scoring, games played, shots on goal, ice time and observed deployment: NHL.com. Advanced shot-process and expected-goal data: MoneyPuck. Fantasy Hockey Intel Expected P/G and signals are its own model outputs.

12 GP current season Process: 60% current Role: 100% current
How to read this player pageQuick guide

Start with Expected P/G and current production. Usage contains observed roles; Analysis contains process, trajectory and model context.

Expected P/G Estimated scoring rate from current performance, role and underlying indicators.
Driver How strongly the player is driving offensive creation relative to comparable forwards or defensemen.
Deployment How favorable the player’s role and usage are. Higher values generally mean stronger opportunity.
Actual Deployment Observed NHL usage from shifts + play-by-play: line or pair, power-play unit, time and usage share.
Model signals Fantasy Hub interpretations of meaningful changes in production, process, role or sustainability.
NHL Edge Context Skating, territory and shot-location context. Edge is supporting context and does not directly change Expected P/G or Current Value.
Confidence How much current evidence supports the model reading. Treat lower-confidence signals more cautiously.
Team context
Utah Mammoth Balanced environment
Fantasy environment #19 of 32 NHL teams
Team xP/G #19 0.72 top-8 xP/G
Offensive environment Strong EV OZ #2 · shot diff #3
Power-play environment Strong PP OZ #4
Pace & activity Strong #5 NHL · 23.5 bursts/g · 67.1 km/g · 55.1 attempts/g

Balanced environment · strong offensive process · strong power-play environment.

View UTA team context →
Production × opportunity

Player Motion

Expected or Actual P/G against Deployment. The trail follows saved daily snapshots up to the latest date.

16 snapshots
Compare up to four skaters with saved model history.
Bubble size represents Offensive Driver percentile.
2026-10-25

Daily snapshots: Expected P/G is a model estimate; Actual P/G is observed season scoring at that date. Each trail connects saved dates; values between snapshots and reasons for changes are unknown. Driver and Deployment are percentiles within F/D. Bubble size shows Driver, independently of the horizontal axis.

FANTASY HOCKEY INTELShare this Player Motion chart

Show exact values for every date
Usage & Deployment
Overall usageSeason rate
TOI/G23:19
PP TOI/G3:35
SOG/G2.67
5v5 roleObserved role
D1Defense pair

MacKenzie Weegar · Mikhail Sergachev

Pair time · last game
15:01
TOI · With this pair · last game
81%
TOI · With this pair · last 3
70%
TOI · With this pair · season
75%
Trend
-5 percentage points ↓-5 pts ↓
Power playObserved PP role
PP1Power-play unit

Nick Schmaltz · Clayton Keller · Dylan Guenther · Logan Cooley · Mikhail Sergachev

PP share · last game
61%
PP share · last 3
74%
PP share · season
64%
First-unit starts · last 3
9 / 9
Trend
+10 percentage points ↑+10 pts ↑
SituationalLast 5
Vs empty net
100% · 1:45
Own goalie pulled
40% · 0:33

Derived from official NHL shift charts + play-by-play · Established · High confidence · 13 recent PP opportunities

Official NHL video

Recent highlights

Goals & assists · last 5 games
Production

2026–27 season

GP
12
G
3
A
11
PTS
14
P/G
1.17
SOG/G
2.67
TOI/G
23:19
PP TOI/G
3:35
Historical context · Observed NHL stats Season-over-Season

Actual 2025/26 production compared with 2026/27 so far. Expected P/G is the current FHI model estimate, not last season's result.

2025/26 Actual P/G0.7678 GP
2026/27 Actual P/G1.1712 GP
Current Expected P/G0.77FHI projection
2025/26 shots/GP: 2.04 TOI/GP: 24.3 min PP TOI/GP: 3.2 min 2025/26 ixG: 9.4 ixG/60: 0.30

Data sources2025/26 actual GP, G/A/PTS, shots on goal and total/power-play ice time: NHL.com season and power-play reports. Individual expected goals (xG), when available: MoneyPuck all-situations data. These observed results are separate from FHI’s saved historical Expected P/G baseline.

Performance

Process vs Deployment

0–100 · F/D percentile · sample-adjusted
Limited sample

The process-versus-Deployment profile is still sample-sensitive.

Process 95
Deployment 93
Offensive Driver High-end · limited sample
95
Shot Creation High-end · limited sample
89
Play Creation Elite · limited sample
96
Deployment High-end · limited sample
93
Median High-end Elite
Trajectory

Early season

Early season
3Y baseline 0.69 Historical P/G
2026–27 1.17 vs baseline +0.47
Expected P/G 0.77 vs baseline +0.08

Current-season production is still below the 20-game threshold; the historical baseline is shown without a strong trajectory call.

Intelligence

Model signals

MODEL

Elite Deployment strongly supports current fantasy value.

Deployment 93 is in the top range of the position group.

MODEL

Elite underlying offensive process supports the profile.

Offensive Driver 95 is in the top range of the position group.

MODEL

Production is running above expectation.

Actual P/G exceeds Expected P/G by 0.40.

MODEL

Sample size limits confidence in the current profile.

The model currently reports LOW confidence.

Current value

The current fantasy profile has both high-end process and high-end Deployment behind it. Expected P/G currently sits at 0.77.

Model details

Performance model
performance_v2_1_4

Scale
transition_ref_v2

Driver vs Deployment
2.2

Published
2026-10-25 17:49:50