Golden State Valkyries
Also known as: Golden State Valkyries
Program History
2026 Team Stats (57 games)
80.9
PPG
75.2
Opp
+5.7
Margin
41.3%
FG%
33.8%
3P%
78.7%
FT%
34.1
RPG
18.3
APG
10.3
TO
77.4
Est. poss./game
79.8
Adj PPG
73.3
Adj Opp PPG
#2
Scoring Rank
Model Outputs
2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1228 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1189 (#1) | HCA +45 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1167 (#1) | HCA +76 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.6 (#2) | HCA +2.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.9 (#2) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.699 (#2) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.730 (#1) | AdjNet +8.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.730 (#1) | AdjNet +8.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.644 (#2) | AdjO 79.8 | AdjD 73.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.651 (#2) | AdjO 77.9 | AdjD 71.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.756 (#1) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.757 (#2) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1235 (#1) | RD 79 | GP 57 |
| Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. More → | 0.775 (#1) | Chronological component blend with rest and venue. |
Rank through the season
League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.
Recency Ensemble
Log Adjusted
Elo
Points Off/Def Recency
2026 Schedule & Results
2026 Roster
Estimated Minutes by Position
Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. Use the labels or legend to highlight a player's estimated role.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gabby Williams
|
F | 52 | 27.0 | 16.0 | 3.5 | 2.5 | 1.8 | 0.2 | 1.6 | 14.3 | 8.2 | 132 | 52 | 2.5 | 3.8 | 39.6 | 33.8 | 79.5 | 0.32 | 50.6 | 46.2 |
Veronica Burton
|
G | 57 | 29.3 | 11.5 | 3.9 | 5.3 | 1.5 | 0.6 | 1.5 | 9.4 | 12.0 | 367 | 57 | 6.4 | 8.8 | 39.1 | 32.4 | 83.6 | 3.51 | 52.7 | 45.9 |
Janelle Salaun
|
F | 50 | 19.7 | 11.0 | 3.4 | 1.0 | 0.5 | 0.1 | 0.7 | 8.6 | 6.7 | 158 | 50 | 3.2 | 6.4 | 42.1 | 39.0 | 77.4 | 0.38 | 57.3 | 53.6 |
Tiffany Hayes
|
G | 55 | 18.4 | 9.8 | 2.3 | 2.4 | 0.9 | 0.2 | 1.3 | 7.4 | 6.9 | 134 | 55 | 2.4 | 5.3 | 44.8 | 27.1 | 78.8 | 0.38 | 55.8 | 49.3 |
Cecilia Zandalasini
|
F | 50 | 19.0 | 8.6 | 2.0 | 1.5 | 0.9 | 0.2 | 1.3 | 7.9 | 4.0 | 154 | 50 | 3.1 | 6.5 | 38.8 | 33.5 | 80.3 | 0.92 | 50.3 | 47.1 |
Kayla Thornton
|
F | 57 | 23.2 | 7.3 | 4.4 | 0.6 | 0.6 | 0.2 | 0.6 | 6.3 | 6.2 | 216 | 57 | 3.8 | 6.5 | 36.7 | 35.1 | 90.0 | 1.2 | 52.6 | 47.8 |
Kaitlyn Chen
|
G | 57 | 14.0 | 6.4 | 1.1 | 1.7 | 0.2 | 0.0 | 1.1 | 5.1 | 3.3 | 92 | 57 | 1.6 | 4.6 | 50.2 | 42.7 | 75.5 | -0.6 | 58.2 | 56.1 |
Kaila Charles
|
G | 57 | 21.0 | 6.2 | 4.7 | 1.4 | 0.8 | 0.3 | 1.0 | 5.7 | 6.6 | 233 | 57 | 4.1 | 7.8 | 39.9 | 29.7 | 77.8 | 1.39 | 49.6 | 45.8 |
Kiah Stokes
|
C | 56 | 23.7 | 3.7 | 6.8 | 1.3 | 0.5 | 1.9 | 0.6 | 3.4 | 10.1 | 106 | 56 | 1.9 | 3.2 | 45.3 | 27.9 | 47.8 | -0.96 | 51.7 | 51.6 |
Laeticia Amihere
|
F | 44 | 11.5 | 3.7 | 3.1 | 0.9 | 0.5 | 0.7 | 0.7 | 2.8 | 5.4 | 105 | 44 | 2.4 | 8.3 | 49.2 | 38.9 | 58.7 | 0.41 | 54.8 | 52.0 |
Juste Jocyte
|
G | 18 | 7.4 | 2.9 | 0.7 | 1.0 | 0.2 | 0.1 | 0.7 | 2.6 | 1.6 | 4 | 18 | 0.2 | 1.2 | 38.3 | 44.4 | 83.3 | -0.84 | 53.4 | 51.1 |
Aminata Gueye
|
C | 7 | 8.4 | 2.7 | 2.0 | 0.6 | 0.6 | 0.3 | 1.4 | 3.3 | 1.4 | -20 | 7 | -2.9 | -13.5 | 30.4 | 0.0 | 100.0 | -0.64 | 37.7 | 30.4 |
Ashten Prechtel
|
- | 6 | 7.3 | 1.8 | 1.8 | 0.5 | 0.2 | 0.7 | 1.2 | 1.5 | 2.3 | - | - | - | - | 33.3 | 33.3 | 100.0 | - | 53.3 | 44.4 |
Nadia Fingall
|
- | 10 | 3.3 | 1.1 | 0.5 | 0.2 | 0.0 | 0.0 | 0.1 | 0.6 | 1.1 | -24 | 10 | -2.4 | -29.9 | 66.7 | 33.3 | 100.0 | -0.96 | 79.9 | 75.0 |
M. Goodchild
|
- | 7 | 3.6 | 0.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.6 | 1.4 | -1.0 | -31 | 7 | -4.4 | -52.4 | 10.0 | 0.0 | 0 | -1.01 | 10.0 | 10.0 |
Ndjakalenga Mwenentanda
|
- | 5 | 2.6 | 0.0 | 0.4 | 0.4 | 0.0 | 0.0 | 0.2 | 0.2 | 0.4 | 5 | 7 | 0.7 | 4.5 | 0.0 | 0.0 | 0 | -0.27 | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG
2026 Shot Zones
3880 located field-goal attempts in 57 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Gabby WilliamsJanelle SalaunTiffany HayesCecilia ZandalasiniKayla Thornton
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 459-722 | 63.6 | 918 | Tiffany Hayes 17% (154 pts) | Gabby Williams 14% (130 pts) | Gabby Williams 17% (46 misses) | Tiffany Hayes 15% (39 misses) |
| Paint (non-RA) | 420-1024 | 41.0 | 840 | Gabby Williams 22% (184 pts) | Veronica Burton 16% (138 pts) | Gabby Williams 20% (123 misses) | Veronica Burton 19% (112 misses) |
| Mid-range left | 62-171 | 36.3 | 124 | Gabby Williams 32% (40 pts) | Cecilia Zandalasini 19% (24 pts) | Gabby Williams 30% (33 misses) | Cecilia Zandalasini 18% (20 misses) |
| Mid-range center | 39-120 | 32.5 | 78 | Gabby Williams 23% (18 pts) | Janelle Salaun 21% (16 pts) | Gabby Williams 32% (26 misses) | Janelle Salaun 20% (16 misses) |
| Mid-range right | 57-165 | 34.5 | 114 | Cecilia Zandalasini 30% (34 pts) | Gabby Williams 18% (20 pts) | Gabby Williams 26% (28 misses) | Cecilia Zandalasini 19% (21 misses) |
| Left corner 3 | 36-96 | 37.5 | 108 | Janelle Salaun 33% (36 pts) | Gabby Williams 22% (24 pts) | Janelle Salaun 27% (16 misses) | Kayla Thornton 22% (13 misses) |
| Right corner 3 | 35-81 | 43.2 | 105 | Kayla Thornton 20% (21 pts) | Kaila Charles 14% (15 pts) | Kayla Thornton 30% (14 misses) | Kaila Charles 13% (6 misses) |
| Above-break 3 left | 215-622 | 34.6 | 645 | Gabby Williams 20% (132 pts) | Janelle Salaun 20% (129 pts) | Gabby Williams 19% (77 misses) | Janelle Salaun 17% (71 misses) |
| Above-break 3 center | 97-281 | 34.5 | 291 | Janelle Salaun 22% (63 pts) | Gabby Williams 20% (57 pts) | Gabby Williams 24% (44 misses) | Veronica Burton 18% (33 misses) |
| Above-break 3 right | 187-598 | 31.3 | 561 | Kayla Thornton 20% (114 pts) | Gabby Williams 13% (72 pts) | Kayla Thornton 19% (79 misses) | Gabby Williams 15% (63 misses) |