SJS San Jose Sharks
The model's read
a disagreement, not a correctionSJS's record is better than the model rates them
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
- 39 wins, 35 regulation losses, 8 overtime losses
- Points
- 86
- Points rank
- 24/32
- Goal diff
- −41
Strength rating
xG-Elo · walk-forward- Rating
- 1465
- League rank
- 26/32
- 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
29 skaters · 3 goaliesFive-season recency-weighted per-game rates · Sample = the games each rate rests on
| Forwards | # | P | G | A | SOG | Sample |
|---|---|---|---|---|---|---|
| Macklin Celebrini | 71 | 1.25 | 0.49 | 0.76 | 3.46 | 152 |
| Will Smith | 2 | 0.77 | 0.31 | 0.46 | 2.17 | 143 |
| Logan Couture | 39 | 0.73 | 0.29 | 0.44 | 2.35 | 165 |
| Igor Chernyshov | 92 | 0.68 | 0.32 | 0.36 | 1.64 | 28 |
| Tyler Toffoli | 73 | 0.66 | 0.31 | 0.35 | 2.56 | 409 |
| Mason Marchment | 27 | 0.64 | 0.27 | 0.36 | 1.89 | 386 |
| Alexander Wennberg | 21 | 0.56 | 0.18 | 0.38 | 1.13 | 428 |
| Collin Graf | 51 | 0.52 | 0.24 | 0.29 | 1.41 | 121 |
| Kiefer Sherwood | 44 | 0.48 | 0.27 | 0.21 | 2.08 | 267 |
| Michael Misa | 77 | 0.47 | 0.20 | 0.27 | 1.29 | 45 |
| Adam Gaudette | 81 | 0.36 | 0.24 | 0.12 | 1.31 | 213 |
| Cam Lund | 46 | 0.27 | 0.18 | 0.09 | 1.09 | 11 |
| Alex Barré-Boulet | 16 | 0.28 | 0.13 | 0.15 | 0.96 | 57 |
| Brett Leason | 17 | 0.25 | 0.10 | 0.15 | 1.15 | 227 |
| Martin Kaut | 87 | 0.21 | 0.10 | 0.10 | 1.14 | 42 |
| Ty Dellandrea | 10 | 0.20 | 0.05 | 0.16 | 1.01 | 261 |
| Ethan Cardwell | 56 | 0.15 | 0.15 | 0.00 | 0.85 | 13 |
| Barclay Goodrow | 23 | 0.17 | 0.08 | 0.09 | 0.87 | 432 |
| Patrick Giles | 54 | 0.13 | 0.04 | 0.09 | 0.83 | 20 |
| Tye Felhaber | 48 | 0.00 | 0.00 | 0.00 | 0.40 | 5 |
| Zack Ostapchuk | 63 | 0.10 | 0.05 | 0.05 | 0.66 | 122 |
| Defence | # | P | G | A | SOG | Sample |
|---|---|---|---|---|---|---|
| Dmitry Orlov | 9 | 0.42 | 0.06 | 0.36 | 1.35 | 421 |
| Darnell Nurse | 25 | 0.35 | 0.09 | 0.26 | 2.18 | 471 |
| Jacob Trouba | 65 | 0.33 | 0.08 | 0.25 | 1.91 | 445 |
| Michael Kesselring | 7 | 0.24 | 0.05 | 0.19 | 1.51 | 191 |
| Luca Cagnoni | 42 | 0.17 | 0.00 | 0.17 | 1.25 | 9 |
| Nolan Allan | 5 | 0.19 | 0.02 | 0.16 | 0.40 | 43 |
| Sam Dickinson | 6 | 0.19 | 0.01 | 0.18 | 1.00 | 72 |
| Libor Hajek | 24 | 0.06 | 0.04 | 0.02 | 0.78 | 33 |
| Goalies | # | SV% | GA | SV | SA | TOI | Sample |
|---|---|---|---|---|---|---|---|
| Eric Comrie | 1 | .8958 | 2.71 | 23.3 | 26.0 | 54:39 | 96 |
| Alex Nedeljkovic | 33 | .8965 | 2.81 | 24.3 | 27.1 | 56:22 | 190 |
| Yaroslav Askarov | 30 | .8855 | 3.26 | 25.1 | 28.3 | 55:06 | 63 |
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 · Apr 16 · modeled projections
0 G · sorted by projection
No G lines were captured for this game.