
NSH
37-32-10

UTA
42-30-6
Historical comparables
Games like this · top 6 from 998 candidates
basis · elo_diff + win_prob + day_of_year
Recap · NHL
tah Mammoth held off Nashville Predators, 4–1.
UTA -1.5 cashed (won by 3). Total stayed UNDER 6.5 by 1.5.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
NSH · top performer

Erik Haula
LW · #56
1
G
0
A
—
SOG
UTA · top performer

Clayton Keller
RW · #9
0
G
3
A
—
SOG
NHL · Nashville Predators at Utah Mammoth · final
NHL · Box scoreEDGE


NSH
37-32-10
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Goalie | Skating | Goalie | ||
|---|---|---|---|---|
| Player | GA | SA | SV | SV% |
UTA
42-30-6
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Goalie | Skating | Goalie | ||
|---|---|---|---|---|
| Player | GA | SA | SV | SV% |
Stat compare
Headline stats · full table below
16
PIM
4
Season series
UTA wins series 3-1
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 · 16 snapshots
ESPN-tracked · 21+
Spread
1.5
0.0 since open
Total
6.5
0.0 since open
How it ended
UTA beat NSH 4-1.
Last play
Game End
Linescore (quarters)
| Team | 1 | 2 | 3 | T |
|---|---|---|---|---|
| NSH | 0 | 0 | 1 | 1 |
| UTA | 1 | 1 | 2 | 4 |
Period scoring
NSH won 0 · UTA won 3
1
2
3
Play-by-play · 300 plays
- 3rd·20:00
Game End
NSH 1·UTA 4
- 3rd·20:00
End of 3rd Period
NSH 1·UTA 4
- 3rd·19:47
Dylan Guenther Backhand saved by Juuse Saros
·
NSH 1·UTA 4
- 3rd·19:46
Kailer Yamamoto Tip-In saved by Juuse Saros
·
NSH 1·UTA 4
- 3rd·19:04
Liam O'Brien hit Brady Skjei
·
NSH 1·UTA 4
- 3rd·19:00
Liam O'Brien Snap Shot saved by Juuse Saros
·
NSH 1·UTA 4
- 3rd·18:50
Fedor Svechkov faceoff won against Kevin Stenlund
·
NSH 1·UTA 4
- 3rd·18:50
Off-side
NSH 1·UTA 4
- 3rd·18:45
Brady Skjei shot blocked by Tyson Jost
·
NSH 1·UTA 4
- 3rd·18:44
Fedor Svechkov faceoff won against Kevin Stenlund
·
NSH 1·UTA 4
- 3rd·18:44
Icing
NSH 1·UTA 4
- 3rd·18:35
Alexander Kerfoot faceoff won against Fedor Svechkov
·
NSH 1·UTA 4
- 3rd·18:35
Puck in Benches
NSH 1·UTA 4
- 3rd·18:24
Fedor Svechkov faceoff won against Alexander Kerfoot
·
NSH 1·UTA 4
- 3rd·18:24
Erik Haula Misconduct
NSH 1·UTA 4
- 3rd·18:24
On-Ice Official
NSH 1·UTA 4
- 3rd·17:56
Giveaway by MacKenzie Weegar
NSH 1·UTA 4
- 3rd·17:54
Adam Wilsby Backhand Wide Right
·
NSH 1·UTA 4
- 3rd·17:41
Alexander Kerfoot faceoff won against Steven Stamkos
·
NSH 1·UTA 4
- 3rd·17:41
Goalie Stopped
NSH 1·UTA 4
- 3rd·17:40
Jonathan Marchessault Snap Shot saved by Karel Vejmelka
·
NSH 1·UTA 4
- 3rd·17:22
Giveaway by Filip Forsberg
NSH 1·UTA 4
- 3rd·16:38
Takeaway by Nick Schmaltz
NSH 1·UTA 4
- 3rd·16:28
Brady Skjei Slap Shot Wide Left
·
NSH 1·UTA 4
- 3rd·15:54
Michael Carcone hit Joakim Kemell
·
NSH 1·UTA 4
- 3rd·15:48
Erik Haula hit Alexander Kerfoot
·
NSH 1·UTA 4
- 3rd·15:23
Adam Wilsby Snap Shot saved by Karel Vejmelka
·
NSH 1·UTA 4
- 3rd·15:20
Kevin Stenlund faceoff won against Erik Haula
·
NSH 1·UTA 4
- 3rd·15:20
Goalie Stopped
NSH 1·UTA 4
- 3rd·15:18
Tyson Jost Snap Shot saved by Karel Vejmelka
·
NSH 1·UTA 4
Team stats
NSH
Away
Stat
UTA
Home
30
Shots
27
50.0
PCT
33.3
16
PIM
4
28
Faceoffs W
22
11
Blocks
12
18
Giveaways
15
2
Takeaways
4
Betting line
UTA -1.5·O/U 6.5·NSH +150/UTA -180
NHL EDGE · Tonight’s standouts
5 of 10 skaters with EDGE
Ryan O'ReillyNSH · CDIST MI265.898
Brady SkjeiNSH · DSKATE MPH23.497
Filip ForsbergNSH · LWDIST MI246.195
Adam WilsbyNSH · DBURSTS6889
Erik HaulaNSH · LWDIST MI220.688
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 · UTA favored
Elo Static
fallback · inputs missing
50.0%
P(UTA win)
33%
weight
Goalie Starter
fallback · inputs missing
50.0%
P(UTA win)
32%
weight
Xg Blend
fallback · inputs missing
50.0%
P(UTA 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.