UTA @ NSH
NHL
Bridgestone Arena
·Nashville
·
SOG UTA 36 · 31 NSH
7–3
Final
Statlab take
baseline_gbm
Based on last 10 (NSH) / 10 (UTA) games this season
UTA
away
home
NSH
60%
40%
baseline_gbm trained on ~5,000 NHL games (54.8% test accuracy). NHL is high-variance — even good models hover near 60%. Treat as a soft lean, not a lock.
Season comparison
H2H this season: 2-0UTA
Away
Metric
NSH
Home
37-43
Record
29-51
46%
Win %
36%
2.9
GF/G
2.6
3.0
GA/G
3.3
WLWWL
L5
LWWLL
Team totals
UTA
NSH
36
Shots
31
14
Hits
20
15
Blocks
12
2
Takeaways
2
15
Giveaways
23
6
PIM
6
Box score
Forwards
| Player | G | A | P | SOG | Hit | +/- | DK |
|---|---|---|---|---|---|---|---|
| C Keller | 2 | 2 | 4 | 5 | 0 | 2 | 9.03 |
| L Cooley | 1 | 2 | 3 | 1 | 0 | 3 | 7.98 |
| A Kerfoot | 0 | 3 | 3 | 0 | 0 | 3 | 5.71 |
| K Stenlund | 1 | 1 | 2 | 2 | 1 | 3 | 5.58 |
| N Schmaltz | 1 | 0 | 1 | 3 | 0 | -1 | 7.76 |
| N Bjugstad | 1 | 0 | 1 | 4 | 2 | 3 | — |
Defense
| Player | G | A | +/- | BLK | Hit | DK |
|---|---|---|---|---|---|---|
| M Sergachev | 0 | 0 | 2 | 1 | 1 | 7.82 |
| S Durzi | 0 | 0 | 2 | 1 | 1 | 6.34 |
| I Cole | 0 | 1 | 2 | 2 | 0 | 5.44 |
| O Maatta | 0 | 1 | 0 | 0 | 1 | 4.56 |
| M Kesselring | 1 | 1 | 2 | 1 | 0 | — |
| N DeSimone | 0 | 0 | 0 | 1 | 1 | 4.58 |
Goalie
| Player | Saves | Shots | SV% | GA |
|---|---|---|---|---|
| M Villalta | 28 | 31 | 0.903 | 3 |
| K Vejmelka | 0 | 0 | 0 |
Statlab projections
| # | Player | Pos | Team | G | A | SOG | Hit | DK |
|---|---|---|---|---|---|---|---|---|
| 1 | D Guenther | forw | UTA vs NSH | 0.35 | 0.47 | 2.7 | 0.9 | 9.3 |
| 2 | J Saros | goal | NSH vs UTA | 9.1 | ||||
| 3 | V Vanecek | goal | UTA vs TBL | 9.1 | ||||
| 4 | C Keller | forw | UTA vs NSH | 0.31 | 0.52 | 2.5 | 0.1 | 9.0 |
| 5 | J Peterka | forw | UTA vs BUF | 0.31 | 0.50 | 2.3 | 0.4 | 8.6 |
| 6 | F Forsberg | forw | NSH vs UTA | 0.32 | 0.41 | 2.5 | 1.6 | 8.6 |
| 7 | B Skjei | defe | NSH vs UTA | 0.13 | 0.46 | 2.0 | 8.4 | |
| 8 | L Cooley | forw | UTA vs NSH | 0.28 | 0.49 | 2.1 | 0.7 | 8.0 |
| 9 | M Sergachev | defe | UTA vs NSH | 0.11 | 0.44 | 1.7 | 7.8 | |
| 10 | N Schmaltz | forw | UTA vs NSH | 0.28 | 0.37 | 2.4 | 0.2 | 7.8 |
| 11 | L Evangelista | forw | NSH vs UTA | 0.27 | 0.40 | 2.1 | 0.5 | 7.4 |
| 12 | M Bunting | forw | NSH vs UTA | 0.27 | 0.36 | 2.1 | 0.4 | 7.2 |
| 13 | R O'Reilly | forw | NSH vs UTA | 0.26 | 0.41 | 1.9 | 0.4 | 7.1 |
| 14 | S Stamkos | forw | NSH vs UTA | 0.26 | 0.39 | 2.0 | 0.4 | 7.1 |
| 15 | J Barron | defe | NSH vs UTA | 0.09 | 0.31 | 1.7 | 7.0 | |
| 16 | B Hayton | forw | UTA vs NSH | 0.23 | 0.31 | 1.9 | 0.5 | 6.4 |
| 17 | S Durzi | defe | UTA vs NSH | 0.08 | 0.30 | 1.4 | 6.3 | |
| 18 | J Marchessault | forw | NSH vs UTA | 0.21 | 0.35 | 1.8 | 0.5 | 6.3 |
| 19 | N Blankenburg | defe | NSH vs UTA | 0.06 | 0.26 | 1.3 | 5.8 | |
| 20 | A Kerfoot | forw | UTA vs NSH | 0.20 | 0.27 | 1.8 | 1.0 | 5.7 |
| 21 | K Stenlund | forw | UTA vs NSH | 0.19 | 0.28 | 1.7 | 0.4 | 5.6 |
| 22 | I Cole | defe | UTA vs NSH | 0.05 | 0.17 | 0.9 | 5.4 | |
| 23 | M Del Gaizo | defe | NSH vs UTA | 0.07 | 0.22 | 1.4 | 5.4 | |
| 24 | N Schmidt | defe | UTA vs TBL | 0.05 | 0.16 | 1.1 | 5.1 | |
| 25 | E Haula | forw | NSH vs BOS | 0.18 | 0.19 | 1.4 | 1.5 | 4.6 |
Trained on ~126k player-game rows since 2021. NHL single-game variance is high — these are central-tendency point estimates, not floor/ceiling ranges.