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Golden State Valkyries

Season: 2026 2025
Also known as: Golden State Valkyries
Program History

2026 Team Stats (1 games)

78.0
PPG
79.7
Opp
+6.0
Margin
45.8%
FG%
45.5%
3P%
56.3%
FT%
35.0
RPG
16.0
APG
18.0
TO
84.0
Pace

Model Outputs

2025 latest available
Catalog

No materialized model snapshot for 2026 yet, so this section is showing the latest available team-model rows.

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. HCA +45 elo More → 1000 (#10) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +7.0 (#9) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 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. NetEff +0.9 More → 0.533 (#9) NetEff +0.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.2 More → 0.732 (#8) AdjNet +7.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.4 More → 0.739 (#8) AdjNet +7.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.3 | AdjD 75.1 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. AdjO 76.6 | AdjD 75.5 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 115 | GP 48 More → 1033 (#8) RD 115 | GP 48

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-25 vs Seattle Storm W 78 - 76
2026-05-08 @ Seattle Storm W 91 - 80
2026-05-10 vs Phoenix Mercury W 95 - 79
2026-05-13 vs Chicago Sky L 63 - 69
2026-05-21 @ New York Liberty W 87 - 70
2026-05-22 @ Indiana Fever L 82 - 90
2026-05-25 vs Connecticut Sun W 97 - 70
2026-05-28 vs Indiana Fever W 90 - 88
2026-05-31 vs Las Vegas Aces L 81 - 91
2026-06-02 vs Portland Fire W 95 - 77
2026-06-04 @ Minnesota Lynx L 84 - 87
2026-06-06 @ Las Vegas Aces - Preview

2026 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%
M. Goodchild M. Goodchild - 1 14.0 14.0 2.0 1.0 1.0 0.0 3.0 6.0 9.0 - - - 83.3 100.0 0 - 116.7 116.7
Veronica Burton Veronica Burton G 1 14.0 14.0 1.0 3.0 1.0 0.0 2.0 7.0 10.0 - - - 57.1 57.1 100.0 - 88.8 85.7
K. Chen K. Chen G 1 29.0 11.0 2.0 3.0 0.0 0.0 1.0 9.0 6.0 - - - 55.6 0.0 50.0 - 55.7 55.6
Kate Martin Kate Martin G 1 23.0 8.0 7.0 2.0 0.0 0.0 1.0 6.0 10.0 - - - 33.3 40.0 50.0 - 51.5 50.0
Kayla Thornton Kayla Thornton F 1 15.0 7.0 1.0 0.0 0.0 0.0 0.0 8.0 0.0 - - - 37.5 20.0 0 - 43.8 43.8
Tiffany Hayes Tiffany Hayes G 1 10.0 5.0 0.0 1.0 1.0 0.0 1.0 4.0 2.0 - - - 50.0 50.0 0 - 62.5 62.5
M. Fasoula M. Fasoula - 1 6.0 5.0 1.0 0.0 0.0 1.0 0.0 3.0 4.0 - - - 66.7 100.0 0 - 83.3 83.3
M. Suarez M. Suarez - 1 14.0 5.0 3.0 1.0 1.0 0.0 0.0 5.0 5.0 - - - 40.0 33.3 0 - 50.0 50.0
Laeticia Amihere Laeticia Amihere F 1 15.0 3.0 4.0 1.0 1.0 1.0 1.0 5.0 4.0 - - - 20.0 0.0 25.0 - 22.2 20.0
C. Ducharme C. Ducharme - 1 7.0 3.0 1.0 1.0 0.0 0.0 0.0 2.0 3.0 - - - 50.0 100.0 0 - 75.0 75.0
C. Reese C. Reese - 1 11.0 2.0 2.0 0.0 1.0 0.0 2.0 1.0 2.0 - - - 0.0 0 100.0 - 53.2 0.0
A. Jackson A. Jackson - 1 26.0 1.0 5.0 2.0 2.0 1.0 5.0 1.0 5.0 - - - 0.0 0.0 50.0 - 26.6 0.0
Kiah Stokes Kiah Stokes C 1 10.0 0.0 5.0 0.0 1.0 0.0 2.0 1.0 3.0 - - - 0.0 0.0 0 - 0.0 0.0
N. Mwenentanda N. Mwenentanda - 1 7.0 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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