UTA Utah Mammoth
The model's read
a disagreement, not a correctionThe model rates UTA higher than the standings do
The rating is built from expected-goal margin, game by game, and never sees the standings. A gap means the chances a club generated and allowed point somewhere different from where its points did. Where the model disagrees most →
Record
82 games · regular season- W–L–OTL
- 43 wins, 33 regulation losses, 6 overtime losses
- Points
- 92
- Points rank
- 15/32
- Goal diff
- +28
Strength rating
xG-Elo · walk-forward- Rating
- 1509
- League rank
- 12/32
- Games
- 82
1500 is the baseline every club starts from and regresses toward between seasons, so above it is stronger than an average team and below it weaker. The rating is driven by model expected-goals margin rather than by results, which is why it can disagree with the standings — that disagreement is the reading at the top of this page.
Current roster · per-game rates
26 skaters · 3 goaliesFive-season recency-weighted per-game rates · Sample = the games each rate rests on
| Forwards | # | P | G | A | SOG | Sample |
|---|---|---|---|---|---|---|
| Clayton Keller | 9 | 1.06 | 0.35 | 0.71 | 2.78 | 396 |
| Dylan Guenther | 11 | 0.88 | 0.46 | 0.42 | 3.01 | 233 |
| Nick Schmaltz | 8 | 0.85 | 0.33 | 0.51 | 2.33 | 375 |
| Vincent Trocheck | 16 | 0.79 | 0.28 | 0.51 | 2.15 | 431 |
| Logan Cooley | 92 | 0.76 | 0.37 | 0.39 | 2.00 | 217 |
| Anders Lee | 72 | 0.55 | 0.28 | 0.28 | 2.52 | 414 |
| Lawson Crouse | 67 | 0.47 | 0.27 | 0.21 | 1.76 | 391 |
| Barrett Hayton | 27 | 0.44 | 0.18 | 0.26 | 1.85 | 325 |
| Ben McCartney | 62 | 0.00 | 0.00 | 0.00 | 1.00 | 2 |
| Kailer Yamamoto | 56 | 0.40 | 0.20 | 0.20 | 1.07 | 301 |
| Michael Carcone | 53 | 0.38 | 0.21 | 0.18 | 1.71 | 242 |
| Jack McBain | 22 | 0.33 | 0.13 | 0.20 | 1.22 | 318 |
| Daniil But | 19 | 0.24 | 0.10 | 0.14 | 1.48 | 29 |
| Kevin Stenlund | 82 | 0.24 | 0.10 | 0.14 | 0.98 | 335 |
| Joshua Roy | 89 | 0.22 | 0.14 | 0.08 | 1.19 | 38 |
| Brandon Tanev | 13 | 0.17 | 0.07 | 0.10 | 1.00 | 346 |
| Liam O'Brien | 38 | 0.13 | 0.06 | 0.08 | 0.93 | 239 |
| Defence | # | P | G | A | SOG | Sample |
|---|---|---|---|---|---|---|
| Mikhail Sergachev | 98 | 0.72 | 0.13 | 0.59 | 1.87 | 383 |
| MacKenzie Weegar | 52 | 0.47 | 0.10 | 0.37 | 2.11 | 419 |
| John Marino | 6 | 0.40 | 0.05 | 0.35 | 0.76 | 360 |
| Nate Schmidt | 88 | 0.28 | 0.06 | 0.21 | 1.07 | 410 |
| Zac Jones | 28 | 0.24 | 0.03 | 0.21 | 1.15 | 105 |
| Nick DeSimone | 57 | 0.22 | 0.05 | 0.17 | 0.92 | 98 |
| Maveric Lamoureux | 10 | 0.20 | 0.04 | 0.16 | 1.00 | 20 |
| Andrew Peeke | 26 | 0.19 | 0.04 | 0.15 | 1.04 | 365 |
| Dmitri Simashev | 26 | 0.04 | 0.00 | 0.04 | 0.93 | 28 |
| Goalies | # | SV% | GA | SV | SA | TOI | Sample |
|---|---|---|---|---|---|---|---|
| Karel Vejmelka | 70 | .8980 | 2.73 | 24.0 | 26.7 | 57:53 | 268 |
| Sebastian Cossa | — | .8571 | 2.00 | 12.0 | 14.0 | 45:00 | 1 |
| Jaxson Stauber | 33 | .8967 | 2.83 | 24.6 | 27.4 | 53:52 | 12 |
How these rates are built — club is the player's current one; the rates span five seasons
Best cap efficiency · points per $1M
2026-27 cap · 2025-26 productionA player measured against the season that earned his contract looks expensive, so recent signings sit low and entry-level deals sit high — by construction. All 32 clubs.
Markets · May 1 · modeled projections
0 SOG · sorted by projection
No SOG lines were captured for this game.