Clayton Keller
Fantasy Hub Player Intelligence

Clayton Keller

UTA · R · Age 28
GP 12 · G-A-PTS 4-11-15
Limited sample STRONG OVERPERFORMANCE LOW confidence
Expected P/G 0.90 Limited sample · Rank appears after 20 GP
Current trajectory Early season 12 GP · 3Y baseline 1.05
Actual P/G 1.25 Limited sample
Deployment 89 #3 among F on team
Driver 87 #4 among F 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/G17:47
PP TOI/G3:58
SOG/G2.17
5v5 roleObserved role
L35v5 usage band

Vincent Trocheck · Clayton Keller · Dylan Guenther

Line time · last game
5:14
TOI · With this line · last game
48%
TOI · With this line · last 3
32%
TOI · With this line · season
8%
Trend
+23 percentage points ↑+23 pts ↑
Power playObserved PP role
PP1Power-play unit

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

PP share · last game
76%
PP share · last 3
80%
PP share · season
70%
First-unit starts · last 3
9 / 9
Trend
+10 percentage points ↑+10 pts ↑
SituationalLast 5
Vs empty net
30% · 0:32
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
4
A
11
PTS
15
P/G
1.25
SOG/G
2.17
TOI/G
17:47
PP TOI/G
3:58
Performance

Process vs Deployment

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

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

Process 87
Deployment 89
Offensive Driver High-end · limited sample
87
Shot Creation Above average · limited sample
65
Play Creation High-end · limited sample
91
Deployment High-end · limited sample
89
Median High-end Elite
Trajectory

Early season

Early season
3Y baseline 1.05 Historical P/G
2026–27 1.25 vs baseline +0.20
Expected P/G 0.90 vs baseline −0.16

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

Intelligence

Model signals

MODEL

Strong Deployment provides a solid fantasy opportunity base.

Current usage ranks clearly above the position-group median.

MODEL

Strong offensive process adds support beyond raw production.

The Driver profile is clearly above the position-group median.

MODEL

Play creation is the clearest offensive strength.

The playmaking-process profile is stronger than the shot-creation profile.

MODEL

Production is running above expectation.

Actual P/G exceeds Expected P/G by 0.35.

Current value

The current fantasy profile has both high-end process and high-end Deployment behind it. Expected P/G currently sits at 0.90.

Model details

Performance model
performance_v2_1_4

Scale
transition_ref_v2

Driver vs Deployment
-1.6

Published
2026-10-25 17:49:50