UTA @ STL
NHL
Enterprise Center
·St. Louis
·
SOG UTA 23 · 29 STL
1–6
Final
Statlab take
baseline_gbm
Based on last 10 (STL) / 10 (UTA) games this season
UTA
away
home
STL
50%
50%
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: 1-2UTA
Away
Metric
STL
Home
38-43
Record
43-38
47%
Win %
53%
3.0
GF/G
3.1
3.0
GA/G
2.9
WWLWW
L5
LLLWW
Team totals
UTA
STL
23
Shots
29
19
Hits
11
11
Blocks
21
2
Takeaways
2
27
Giveaways
21
22
PIM
18
Box score
Forwards
| Player | G | A | P | SOG | Hit | +/- |
|---|---|---|---|---|---|---|
| C Keller | 1 | 0 | 1 | 2 | 0 | -2 |
| N Schmaltz | 0 | 1 | 1 | 1 | 0 | -1 |
| D Guenther | 0 | 0 | 0 | 1 | 1 | -1 |
| A Kerfoot | 0 | 0 | 0 | 0 | 2 | 0 |
| J McBain | 0 | 0 | 0 | 1 | 1 | 0 |
| B Hayton | 0 | 0 | 0 | 1 | 2 | 0 |
Defense
| Player | G | A | +/- | BLK | Hit |
|---|---|---|---|---|---|
| M Sergachev | 0 | 1 | -1 | 1 | 1 |
| S Durzi | 0 | 0 | -2 | 3 | 0 |
| I Cole | 0 | 0 | -2 | 2 | 0 |
| O Maatta | 0 | 0 | 0 | 1 | 0 |
| M Kesselring | 0 | 0 | -1 | 1 | 1 |
| R Bortuzzo | 0 | 0 | 0 | 0 | 1 |
Goalie
| Player | Saves | Shots | SV% | GA |
|---|---|---|---|---|
| M Villalta | 0 | 0 | 0 | |
| K Vejmelka | 23 | 29 | 0.793 | 6 |
Statlab projections
| # | Player | Pos | Team | G | A | SOG | Hit | DK |
|---|---|---|---|---|---|---|---|---|
| 1 | P Suter | forw | STL vs VAN | 0.48 | 0.88 | 2.9 | 0.9 | 12.8 |
| 2 | D Guenther | forw | UTA vs NSH | 0.35 | 0.47 | 2.7 | 0.9 | 9.3 |
| 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 | L Cooley | forw | UTA vs NSH | 0.28 | 0.49 | 2.1 | 0.7 | 8.0 |
| 7 | M Sergachev | defe | UTA vs NSH | 0.11 | 0.44 | 1.7 | 7.8 | |
| 8 | N Schmaltz | forw | UTA vs NSH | 0.28 | 0.37 | 2.4 | 0.2 | 7.8 |
| 9 | B Hayton | forw | UTA vs NSH | 0.23 | 0.31 | 1.9 | 0.5 | 6.4 |
| 10 | S Durzi | defe | UTA vs NSH | 0.08 | 0.30 | 1.4 | 6.3 | |
| 11 | A Kerfoot | forw | UTA vs NSH | 0.20 | 0.27 | 1.8 | 1.0 | 5.7 |
| 12 | K Stenlund | forw | UTA vs NSH | 0.19 | 0.28 | 1.7 | 0.4 | 5.6 |
| 13 | I Cole | defe | UTA vs NSH | 0.05 | 0.17 | 0.9 | 5.4 | |
| 14 | N Schmidt | defe | UTA vs TBL | 0.05 | 0.16 | 1.1 | 5.1 | |
| 15 | N DeSimone | defe | UTA vs NSH | 0.06 | 0.20 | 1.1 | 4.6 | |
| 16 | O Maatta | defe | UTA vs NSH | 0.05 | 0.21 | 1.1 | 4.6 | |
| 17 | J McBain | forw | UTA vs NSH | 0.13 | 0.20 | 1.4 | 3.3 | 4.1 |
| 18 | L Crouse | forw | UTA vs NSH | 0.14 | 0.14 | 1.3 | 2.3 | 3.9 |
| 19 | N Bjugstad | forw | STL vs NSH | 0.14 | 0.15 | 1.3 | 1.3 | 3.8 |
| 20 | L O'Brien | forw | UTA vs NSH | 0.08 | 0.09 | 1.0 | 2.7 | 2.6 |
Trained on ~126k player-game rows since 2021. NHL single-game variance is high — these are central-tendency point estimates, not floor/ceiling ranges.