
UTA
39-30-6

SEA
32-31-11
Historical comparables
Games like this · top 6 from 998 candidates
basis · elo_diff + win_prob + day_of_year
Recap · NHL
tah Mammoth went into Seattle Kraken and beat them, 6–2.
UTA -1.5 cashed (won by 4). Total cleared the 6.5 OVER by 1.5.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
UTA · top performer

Logan Cooley
C · #92
2
G
1
A
—
SOG
SEA · top performer

Jordan Eberle
RW · #7
1
G
0
A
—
SOG
NHL · Utah Mammoth at Seattle Kraken · final
NHL · Box scoreEDGE


UTA
39-30-6
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Goalie | Skating | Goalie | ||
|---|---|---|---|---|
| Player | GA | SA | SV | SV% |
SEA
32-31-11
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Goalie | Skating | Goalie | ||
|---|---|---|---|---|
| Player | GA | SA | SV | SV% |
Stat compare
Headline stats · full table below
6
PIM
12
Season series
UTA wins series 3-0
Vegas line center
DraftKings via ESPN · 21+
Spread
UTA -1.5
Total
6.5
Defensive · -2.0 vs avg
Moneyline
Implied probabilities back-computed from American odds — break-even win % a moneyline bet needs to be +EV.
Line movement · 15 snapshots
ESPN-tracked · 21+
Spread
1.5
0.0 since open
Total
6.5
0.0 since open
How it ended
UTA beat SEA 6-2.
Last play
Game End
Linescore (quarters)
| Team | 1 | 2 | 3 | T |
|---|---|---|---|---|
| UTA | 1 | 2 | 3 | 6 |
| SEA | 2 | 0 | 0 | 2 |
Period scoring
UTA won 2 · SEA won 1
1
2
3
Play-by-play · 318 plays
- 3rd·20:00
Game End
UTA 6·SEA 2
- 3rd·20:00
End of 3rd Period
UTA 6·SEA 2
- 3rd·19:37
Vince Dunn Backhand saved by Karel Vejmelka
·
UTA 6·SEA 2
- 3rd·19:24
Brandon Tanev hit Jacob Melanson
·
UTA 6·SEA 2
- 3rd·19:04
Berkly Catton Wrist Shot Wide Right
·
UTA 6·SEA 2
- 3rd·18:31
Giveaway by Lawson Crouse
UTA 6·SEA 2
- 3rd·18:27
Takeaway by Nick Schmaltz
UTA 6·SEA 2
- 3rd·18:19
Giveaway by Nick Schmaltz
UTA 6·SEA 2
- 3rd·17:49
Kaapo Kakko hit Alexander Kerfoot
·
UTA 6·SEA 2
- 3rd·17:44
Ryker Evans hit JJ Peterka
·
UTA 6·SEA 2
- 3rd·17:26
Giveaway by Kaapo Kakko
UTA 6·SEA 2
- 3rd·17:11
Jacob Melanson hit Ian Cole
·
UTA 6·SEA 2
- 3rd·16:55
Jacob Melanson hit Sean Durzi
·
UTA 6·SEA 2
- 3rd·16:53
Giveaway by Berkly Catton
UTA 6·SEA 2
- 3rd·16:37
Oscar Fisker Molgaard faceoff won against Kevin Stenlund
·
UTA 6·SEA 2
- 3rd·16:37
Michael Carcone Goal (15) Deflected, assists: none
UTA 6·SEA 2
- 3rd·16:26
Alexander Kerfoot faceoff won against Chandler Stephenson
·
UTA 5·SEA 2
- 3rd·16:26
Puck in Crowd
UTA 5·SEA 2
- 3rd·15:57
Chandler Stephenson faceoff won against Alexander Kerfoot
·
UTA 5·SEA 2
- 3rd·15:57
On-Ice Official
UTA 5·SEA 2
- 3rd·15:47
Dylan Guenther Wrist Shot High and Wide Left
·
UTA 5·SEA 2
- 3rd·15:23
Dylan Guenther shot blocked by Adam Larsson
·
UTA 5·SEA 2
- 3rd·15:19
Dylan Guenther shot blocked by Freddy Gaudreau
·
UTA 5·SEA 2
- 3rd·15:01
Adam Larsson hit Clayton Keller
·
UTA 5·SEA 2
- 3rd·14:35
Logan Cooley faceoff won against Freddy Gaudreau
·
UTA 5·SEA 2
- 3rd·14:35
TV Timeout
UTA 5·SEA 2
- 3rd·14:35
Jordan Eberle High-sticking - double minor against Kevin Stenlund
·
UTA 5·SEA 2
- 3rd·14:29
Lawson Crouse Wrist Shot High and Wide Right
·
UTA 5·SEA 2
- 3rd·14:10
Jordan Eberle Wrist Shot saved by Karel Vejmelka
·
UTA 5·SEA 2
- 3rd·13:49
Vince Dunn Wrist Shot saved by Karel Vejmelka
·
UTA 5·SEA 2
Team stats
UTA
Away
Stat
SEA
Home
31
Shots
27
50.0
PCT
0.0
6
PIM
12
36
Faceoffs W
25
13
Blocks
11
20
Giveaways
11
7
Takeaways
4
Betting line
UTA -1.5·O/U 6.5·UTA -142/SEA +120
NHL EDGE · Tonight’s standouts
5 of 13 skaters with EDGE
Bobby McMannSEA · CSKATE MPH24.399
Brandon MontourSEA · DSHOT MPH101.698
Matty BeniersSEA · CDIST MI267.798
Jared McCannSEA · LWSHOT MPH94.496
Jordan EberleSEA · RWDIST MI236.192
Model ensemble · how the prediction is built
3 sub-models, blended.
Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.
50.1%
ensemble · SEA favored
Elo Static
fallback · inputs missing
50.0%
P(SEA win)
33%
weight
Goalie Starter
fallback · inputs missing
50.0%
P(SEA win)
32%
weight
Xg Blend
fallback · inputs missing
50.0%
P(SEA win)
34%
weight
Disagreement
0.00 pp
weighted σ across sub-models
Confidence
100% · high
maps from disagreement
Substrate count
0 / 3 active
ones with full inputs tonight
Weights recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen. Headline % is Platt-scaled per league; sub-model rows show raw BMA inputs.
The receipts
Closing-line value.
0.00
CLV pp
Open price
+120
Close price
+120
Open no-vig
43.7%
Close no-vig
43.7%
Line barely moved · Graded: miss