Golden State Valkyries
Season:
2025
Also known as: Golden State Valkyries
Program History
2025 Team Stats (48 games)
77.8
PPG
77.0
Opp
+0.8
Margin
40.5%
FG%
32.4%
3P%
81.4%
FT%
35.0
RPG
18.6
APG
12.9
TO
86.2
Pace
80.3
AdjO
75.1
AdjD
#9
Rank
Model Outputs
2025
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 → | 961 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1028 (#9) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1000 (#10) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.0 (#9) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.2 (#8) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.533 (#9) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.533 (#9) | NetEff +0.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.732 (#8) | AdjNet +7.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.739 (#8) | AdjNet +7.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.615 (#9) | AdjO 80.3 | AdjD 75.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.524 (#8) | AdjO 76.6 | AdjD 75.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.587 (#9) | 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 → | 0.569 (#9) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1033 (#8) | RD 115 | GP 48 |
2025 Schedule & Results
2025 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kayla Thornton
|
F | 24 | 29.4 | 13.7 | 6.8 | 1.4 | 1.4 | 0.2 | 1.5 | 12.2 | 9.8 | - | - | - | 36.9 | 28.3 | 83.3 | 0.53 | 49.9 | 44.2 |
Veronica Burton
|
G | 48 | 29.2 | 11.7 | 4.3 | 6.0 | 1.2 | 0.6 | 2.3 | 8.8 | 12.8 | - | - | - | 37.6 | 33.8 | 88.5 | 1.58 | 55.1 | 45.6 |
J. Salaun
|
F | 38 | 27.4 | 11.4 | 5.1 | 1.2 | 0.6 | 0.1 | 1.4 | 10.0 | 6.9 | - | - | - | 41.1 | 37.2 | 80.6 | - | 53.0 | 50.0 |
Tiffany Hayes
|
G | 28 | 26.3 | 11.3 | 3.9 | 2.9 | 0.6 | 0.1 | 1.9 | 9.1 | 7.8 | - | - | - | 39.6 | 38.2 | 80.2 | 0.19 | 53.7 | 47.8 |
Cecilia Zandalasini
|
F | 21 | 24.4 | 10.8 | 3.1 | 1.8 | 1.0 | 0.2 | 1.4 | 8.4 | 7.0 | - | - | - | 43.2 | 40.0 | 87.5 | -0.52 | 58.6 | 54.5 |
M. Toure
|
G | 2 | 10.0 | 10.5 | 0.0 | 0.5 | 0.0 | 0.0 | 1.0 | 6.5 | 3.5 | - | - | - | 53.8 | 44.4 | 75.0 | - | 71.1 | 69.2 |
Iliana Rupert
|
C | 23 | 23.2 | 8.8 | 3.7 | 1.7 | 0.6 | 0.6 | 1.1 | 7.0 | 7.4 | - | - | - | 43.8 | 43.6 | 93.8 | - | 60.8 | 58.8 |
Temi Fagbenle
|
C | 42 | 23.5 | 7.3 | 4.7 | 1.6 | 0.9 | 0.6 | 1.5 | 6.3 | 7.5 | - | - | - | 50.4 | 20.6 | 70.0 | 1.26 | 54.7 | 53.0 |
Monique Billings
|
F | 30 | 18.1 | 7.2 | 4.5 | 0.5 | 0.6 | 0.8 | 0.7 | 5.9 | 6.9 | - | - | - | 47.5 | 27.5 | 68.5 | -0.63 | 53.8 | 50.6 |
Kaila Charles
|
G | 20 | 19.8 | 7.0 | 4.3 | 1.1 | 1.1 | 0.2 | 1.1 | 6.0 | 6.5 | - | - | - | 44.2 | 36.4 | 81.8 | - | 54.0 | 50.8 |
C. Leite
|
G | 41 | 16.6 | 7.0 | 1.3 | 1.9 | 0.7 | 0.1 | 1.6 | 5.8 | 3.6 | - | - | - | 38.4 | 18.8 | 82.6 | - | 50.4 | 41.6 |
Kate Martin
|
G | 45 | 16.4 | 6.3 | 2.6 | 0.9 | 0.4 | 0.1 | 0.8 | 6.3 | 3.3 | - | - | - | 32.4 | 30.7 | 78.4 | - | 46.5 | 43.1 |
C. Bibby
|
F | 7 | 11.9 | 6.0 | 2.4 | 0.4 | 0.4 | 0.0 | 0.0 | 5.0 | 4.3 | - | - | - | 40.0 | 41.7 | 100.0 | - | 57.1 | 54.3 |
Laeticia Amihere
|
F | 32 | 13.3 | 5.7 | 4.0 | 0.9 | 0.6 | 0.4 | 1.0 | 4.0 | 6.6 | - | - | - | 47.3 | 20.0 | 76.1 | - | 56.5 | 49.2 |
Julie Vanloo
|
G | 11 | 19.5 | 4.5 | 1.7 | 4.2 | 0.6 | 0.0 | 2.3 | 5.0 | 3.8 | - | - | - | 29.1 | 19.0 | 83.3 | -0.05 | 41.5 | 36.4 |
Stephanie Talbot
|
F | 16 | 16.6 | 3.6 | 3.3 | 2.0 | 0.6 | 0.1 | 1.2 | 3.7 | 4.6 | - | - | - | 33.9 | 25.0 | 64.3 | 0.03 | 43.7 | 40.7 |
E. Cunane
|
- | 2 | 6.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 2.5 | - | - | - | 100.0 | 0 | 100.0 | - | 108.7 | 100.0 |
K. Chen
|
G | 27 | 9.9 | 1.9 | 1.0 | 1.0 | 0.2 | 0.0 | 0.7 | 2.0 | 1.3 | - | - | - | 38.9 | 33.3 | 71.4 | - | 45.6 | 43.5 |
K. Linskens
|
C | 6 | 7.5 | 1.5 | 2.8 | 0.8 | 0.3 | 1.0 | 0.3 | 1.3 | 4.8 | - | - | - | 50.0 | 0.0 | 50.0 | - | 50.7 | 50.0 |
Aerial Powers
|
G | 2 | 3.5 | 1.0 | 1.0 | 0.5 | 0.5 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 100.0 | 0.67 | 34.7 | 0.0 |
B. Hall
|
- | 3 | 4.3 | 1.0 | 0.7 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -0.3 | - | - | - | 33.3 | 0.0 | 33.3 | - | 34.7 | 33.3 |
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