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Utah Mammoth vs San Jose Sharks prediction, odds, win probability, and matchup analysis for January 18, 2027

NHL matchup

Utah Mammoth at San Jose Sharks

View the PlayerWON Model V2 prediction, fair odds, market comparison, team performance, and recent head-to-head history for January 18, 2027.

January 18, 2027 · 4:00 PM MBT
Model V2 pick: San Jose Sharks at 50.4%
Prediction

Model V2 versus market

Compare PlayerWON win probabilities with fair odds and available market data.

San Jose Sharks logo
Home team

San Jose Sharks

50.4%
Fair American -102
Fair decimal 1.98
Calculate value
Simulated betting results

Team performance leading into this game

Model V2 · One-unit bets backing each team before Jan 18, 2027.

All Model Picks

Bets
17
Record
9-8
Net units
-1.16
ROI
-6.8%

Value Picks

Bets
8
Record
5-3
Net units
1.46
ROI
18.3%

Market Favourite

Bets
15
Record
8-7
Net units
-1.22
ROI
-8.1%

This game and later dates are excluded.

Recent usage

Forward trios & defense pairs

Most-used five-on-five trio and defense pair from each team's last 10 completed regular-season games before Jan 18. Historical usage, not confirmed lines for this matchup.

Utah Mammoth

10 / 10 games covered · Minimum 5 shared minutes

Forward trio

60:46 together · 6 games

xG share69.5%
Corsi for / against
75 / 57
Fenwick for / against
62 / 40
Corsi share
56.8%
Fenwick share
60.8%
xG for / against
4.82 / 2.12
Defense pair

131:54 together · 10 games

xG share57.1%
Corsi for / against
153 / 131
Fenwick for / against
112 / 91
Corsi share
53.9%
Fenwick share
55.2%
xG for / against
6.87 / 5.16
All observed combinations

San Jose Sharks

10 / 10 games covered · Minimum 5 shared minutes

Forward trio

43:20 together · 6 games

xG share49.6%
Corsi for / against
43 / 38
Fenwick for / against
32 / 26
Corsi share
53.1%
Fenwick share
55.2%
xG for / against
2.25 / 2.28
Defense pair

123:20 together · 10 games

xG share38.2%
Corsi for / against
99 / 133
Fenwick for / against
70 / 101
Corsi share
42.7%
Fenwick share
40.9%
xG for / against
4.12 / 6.67
All observed combinations

Ambiguous events and unreliable intervals are excluded. xG requires complete current scoring for each contributing game. These summaries do not change the model prediction.

Goalie predictions

Expected starters

Estimated starting chances among eligible goalies. These are model predictions, not confirmed starters.

Season goaltending

Every recorded goalie

Regular-season records for each team in 2026–27, before Jan 18, 2027. Includes recorded backups. Games played require ice time; stats cover only games with this team.

Utah Mammoth

K. Vejmelka
GP
13
Starts
12
Wins
6
Save %
0.869
GAA
3.29
S. Cossa
GP
7
Starts
6
Wins
4
Save %
0.871
GAA
3.30
Goalie context

Recent starting goalies

Each team's last recorded starter before this matchup. These are not confirmed or projected starters for this game. Results cover their last 5 appearances before the matchup.

Karel Vejmelka

Utah Mammoth · Last start: Nov 7

5 / 5 appearances covered

Shots faced
128
Save %
85.2
Goals allowed
19
Close-range shots %
28.9

Yaroslav Askarov

San Jose Sharks · Last start: Nov 9

5 / 5 appearances covered

Shots faced
133
Save %
87.2
Goals allowed
17
Close-range shots %
32.3
Pregame context · xG V1

Recent expected goals

Last 10 completed regular-season games before Jan 18, 2027. This game and later dates are excluded.

Utah Mammoth

xG for / game
3.66
xG against / game
2.86
xG differential / game
0.80

10 / 10 selected games fully scored. Historical chance quality, not a forecast of this game's goals.

San Jose Sharks

xG for / game
2.67
xG against / game
4.00
xG differential / game
-1.33

10 / 10 selected games fully scored. Historical chance quality, not a forecast of this game's goals.

Recent play-by-play

Team tendencies before this game

Last 10 completed regular-season games before Jan 18, 2027. This game and later dates are excluded.

Utah Mammoth

10 / 10 games covered

Attempts / game
62.4
Corsi share (%)
52.3
Fenwick share (%)
52.7
Faceoff win %
55.1
Penalties / game
4.0

Shots / game: 29.4 · Shooting: 10.9% · Avg distance: 31.5 ft

San Jose Sharks

10 / 10 games covered

Attempts / game
56.5
Corsi share (%)
47.0
Fenwick share (%)
45.4
Faceoff win %
46.5
Penalties / game
4.8

Shots / game: 27.2 · Shooting: 8.5% · Avg distance: 33.8 ft

Skaters versus this opponent

Hot & cold against the other team

Up to five skaters per team, ranked by the largest change in points per game against this opponent versus other opponents. Uses the last five meetings per player within this season and the previous two seasons, before Jan 18, 2027.

Utah Mammoth

N. Schmaltz Hot · +0.55 P/GP

5 games vs San Jose Sharks · 1.40 points/game
0.85 points/game across 176 games vs other opponents

Goals
5
Assists
2
Points
7
Shots / game
2.0
C. Keller Hot · +0.50 P/GP

5 games vs San Jose Sharks · 1.60 points/game
1.10 points/game across 175 games vs other opponents

Goals
2
Assists
6
Points
8
Shots / game
3.0
D. Guenther Cold · -0.48 P/GP

5 games vs San Jose Sharks · 0.40 points/game
0.88 points/game across 162 games vs other opponents

Goals
2
Assists
0
Points
2
Shots / game
3.8
J. Marino Cold · -0.45 P/GP

3 games vs San Jose Sharks · 0.00 points/game
0.45 points/game across 121 games vs other opponents

Goals
0
Assists
0
Points
0
Shots / game
1.3
L. Crouse Hot · +0.44 P/GP

5 games vs San Jose Sharks · 0.80 points/game
0.36 points/game across 174 games vs other opponents

Goals
2
Assists
2
Points
4
Shots / game
1.6

San Jose Sharks

M. Celebrini Hot · +1.52 P/GP

3 games vs Utah Mammoth · 2.67 points/game
1.14 points/game across 167 games vs other opponents

Goals
4
Assists
4
Points
8
Shots / game
2.3
W. Smith Hot · +1.31 P/GP

3 games vs Utah Mammoth · 2.00 points/game
0.69 points/game across 160 games vs other opponents

Goals
2
Assists
4
Points
6
Shots / game
1.7
T. Toffoli Hot · +1.04 P/GP

3 games vs Utah Mammoth · 1.67 points/game
0.63 points/game across 174 games vs other opponents

Goals
3
Assists
2
Points
5
Shots / game
4.0
J. Trouba Cold · -0.34 P/GP

3 games vs Utah Mammoth · 0.00 points/game
0.34 points/game across 175 games vs other opponents

Goals
0
Assists
0
Points
0
Shots / game
1.7
D. Orlov Hot · +0.25 P/GP

3 games vs Utah Mammoth · 0.67 points/game
0.42 points/game across 175 games vs other opponents

Goals
0
Assists
2
Points
2
Shots / game
2.0
How hot and cold are measuredSample requirements, player selection and limitations

Hot means a higher points-per-game rate against this opponent; cold means a lower rate. The comparison uses other opponents over the same three-season window. Only players whose most recent recorded team this season matches this matchup are considered; this does not confirm tonight's lineup. History includes appearances for former teams. Players with no meaningful rate difference are omitted from the highlights; the full breakdown includes them. These small, unadjusted historical samples describe past production, not a forecast or a statistically established matchup advantage.

Want the full picture?

See every recorded skater from both teams, including players with limited opponent history.

View all players vs opponent →
Team comparison

Season and recent form

Season overview
Utah Mammoth UTA
Metric
San Jose Sharks SJS
21Points17
0.583Points %0.425
63Goals for51
63Goals against71
0Goal differential-20
L1Current streakW1
Road versus home
Utah Mammoth UTA road
Metric
San Jose Sharks SJS home
12Games9
6Wins4
13Points8
-3Goal differential-8
Last 10 games
Utah Mammoth UTA
Metric
San Jose Sharks SJS
4-5-1Record3-7-0
9Points6
32Goals for24
42Goals against36
-10Goal differential-12
History

Last 10 head-to-head games

Utah Mammoth UTA 1 wins
3 games reviewed
San Jose Sharks SJS 2 wins
Total goals11 – 12
Goal differential -1 / +1
Goals per game3.67 / 4.0
Shots per game31.3 / 24.3
Date Matchup Score Shots Details
Dec 1, 2025
Utah Mammoth Utah Mammoth at San Jose Sharks San Jose Sharks
3 - 6 34 - 30 View
Nov 18, 2025
Utah Mammoth Utah Mammoth at San Jose Sharks San Jose Sharks
2 - 3 26 - 22 View
Oct 17, 2025
San Jose Sharks San Jose Sharks at Utah Mammoth Utah Mammoth
3 - 6 21 - 34 View
This matchup prediction is generated using playerWON’s Model V2, incorporating team performance, recent form, and home/away effects. View full model performance to compare results across games.