
NSH
35-31-9

LA
30-26-19
Historical comparables
Games like this · top 6 from 998 candidates
basis · elo_diff + win_prob + day_of_year
Recap · NHL
ashville Predators went into Los Angeles Kings and beat them, 5–4.
NSH +1.5 cashed (LA lost outright). Total cleared the 5.5 OVER by 3.5.
ByTheOnemodel/auto-generated · live odds + scouting data/refreshes with the page
NSH · top performer

Jonathan Marchessault
RW · #81
1
G
1
A
—
SOG
LA · top performer

Joel Armia
RW · #40
1
G
1
A
—
SOG
NHL · Nashville Predators at Los Angeles Kings · final
NHL · Box scoreEDGE


NSH
35-31-9
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Skating | ||||
|---|---|---|---|---|
| Player | +/- | G | A | PIM |
| Goalie | Skating | Goalie | ||
|---|---|---|---|---|
| Player | GA | SA | SV | SV% |
LA
30-26-19
| 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
6
Season series
NSH leads series 2-0
Vegas line center
DraftKings via ESPN · 21+
Spread
LA -1.5
Total
5.5
Defensive · -3.0 vs avg
Moneyline
Implied probabilities back-computed from American odds — break-even win % a moneyline bet needs to be +EV.
Line movement · 10 snapshots
ESPN-tracked · 21+
Spread
1.5
0.0 since open
Total
5.5
0.0 since open
How it ended
NSH beat LA 5-4.
Last play
Game End
Linescore (quarters)
| Team | 1 | 2 | 3 | OT | SO | T |
|---|---|---|---|---|---|---|
| NSH | 2 | 2 | 0 | 0 | 1 | 5 |
| LA | 0 | 3 | 1 | 0 | 0 | 4 |
Period scoring
NSH won 2 · LA won 2
1
2
3
OT
SO
Play-by-play · 396 plays
- SO·0:00
Game End
NSH 1·LA 0
- SO·0:00
End of OT
NSH 1·LA 0
- SO·0:00
End of Shootout
NSH 1·LA 0
- SO·0:00
Luke Evangelista Goal Backhand
NSH 1·LA 0
- SO·0:00
Joel Armia Wrist Shot Wide Right
·
NSH 1·LA 0
- SO·0:00
Roman Josi Wrist Shot saved by Darcy Kuemper
·
NSH 1·LA 0
- SO·0:00
Quinton Byfield Backhand High and Wide Right
·
NSH 1·LA 0
- SO·0:00
Tyson Jost Wrist Shot saved by Darcy Kuemper
·
NSH 1·LA 0
- SO·0:00
Brandt Clarke Wrist Shot saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Erik Haula Wrist Shot saved by Darcy Kuemper
·
NSH 1·LA 0
- SO·0:00
Alex Laferriere Wrist Shot saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Jonathan Marchessault Wrist Shot Hit Left Post
·
NSH 1·LA 0
- SO·0:00
Anze Kopitar Wrist Shot saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Steven Stamkos Wrist Shot Wide Right
·
NSH 1·LA 0
- SO·0:00
Trevor Moore Wrist Shot saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Filip Forsberg Backhand saved by Darcy Kuemper
·
NSH 1·LA 0
- SO·0:00
Artemi Panarin Backhand saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Ryan O'Reilly Wrist Shot saved by Darcy Kuemper
·
NSH 1·LA 0
- SO·0:00
Adrian Kempe Wrist Shot saved by Juuse Saros
·
NSH 1·LA 0
- SO·0:00
Start of Shootout
NSH 1·LA 0
- OT·5:00
End of OT
NSH 4·LA 4
- OT·4:51
Roman Josi Wrist Shot saved by Darcy Kuemper
·
NSH 4·LA 4
- OT·4:33
Matthew Wood Wrist Shot Hit Right Post
·
NSH 4·LA 4
- OT·3:29
Adrian Kempe shot blocked by Steven Stamkos
·
NSH 4·LA 4
- OT·3:08
Filip Forsberg shot blocked by Scott Laughton
·
NSH 4·LA 4
- OT·2:44
Ryan O'Reilly faceoff won against Scott Laughton
·
NSH 4·LA 4
- OT·2:44
Puck in Netting
NSH 4·LA 4
- OT·2:42
Trevor Moore shot blocked by Roman Josi
·
NSH 4·LA 4
- OT·2:28
Jonathan Marchessault Backhand saved by Darcy Kuemper
·
NSH 4·LA 4
- OT·2:05
Jonathan Marchessault Wrist Shot Off Crossbar
·
NSH 4·LA 4
Team stats
NSH
Away
Stat
LA
Home
34
Shots
33
0.0
PCT
0.0
6
PIM
6
32
Faceoffs W
41
16
Blocks
15
12
Giveaways
20
7
Takeaways
1
Betting line
LA -1.5·O/U 5.5·NSH +105/LA -125
NHL EDGE · Tonight’s standouts
5 of 12 skaters with EDGE
Ryan O'ReillyNSH · CDIST MI265.898
Brady SkjeiNSH · DSKATE MPH23.497
Filip ForsbergNSH · LWDIST MI246.195
Roman JosiNSH · DDIST MI245.490
Adam WilsbyNSH · DBURSTS6889
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 · LA favored
Elo Static
fallback · inputs missing
50.0%
P(LA win)
33%
weight
Goalie Starter
fallback · inputs missing
50.0%
P(LA win)
32%
weight
Xg Blend
fallback · inputs missing
50.0%
P(LA 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.