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Seattle Storm

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: SEA
Program History

2026 Team Stats (2 games)

83.5
PPG
81.0
Opp
-4.2
Margin
36.5%
FG%
32.7%
3P%
75.0%
FT%
36.5
RPG
14.0
APG
15.0
TO
98.5
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 → 1029 (#8) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1040 (#8) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +45 elo More → 1005 (#8) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +7.7 (#8) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +4.4 (#7) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.578 (#8) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +2.3 More → 0.578 (#8) NetEff +2.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.7 More → 0.745 (#7) AdjNet +7.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.9 More → 0.752 (#7) AdjNet +7.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.5 | AdjD 78.6 More → 0.630 (#8) AdjO 84.5 | AdjD 78.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.7 | AdjD 80.4 More → 0.529 (#7) AdjO 81.7 | AdjD 80.4
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 → 0.615 (#8) 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 → 0.595 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 48 More → 1020 (#9) RD 112 | GP 48

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-25 @ Golden State Valkyries L 76 - 78
2026-04-29 vs Portland Fire W 91 - 81
2026-05-08 vs Golden State Valkyries L 80 - 91
2026-05-10 @ Connecticut Sun W 89 - 82
2026-05-13 @ Toronto Tempo L 73 - 86
2026-05-17 @ Indiana Fever L 78 - 89
2026-05-20 vs Connecticut Sun L 78 - 80
2026-05-22 vs Connecticut Sun W 77 - 59
2026-05-24 vs Washington Mystics W 97 - 85
2026-05-27 vs Washington Mystics L 64 - 78
2026-05-30 @ Toronto Tempo L 72 - 93
2026-06-01 @ Dallas Wings L 56 - 79
2026-06-03 vs Phoenix Mercury L 68 - 72

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%
F. Johnson F. Johnson - 2 21.0 16.0 3.5 0.5 1.0 0.0 1.0 11.0 9.0 - - - 45.5 44.4 88.9 - 61.6 54.5
Zia Cooke Zia Cooke G 2 19.0 15.5 1.0 1.5 0.0 0.0 1.5 10.5 6.0 - - - 38.1 36.4 84.6 - 58.0 47.6
D. Malonga D. Malonga C 2 20.0 10.0 8.0 1.0 1.0 0.5 1.5 9.5 9.5 - - - 31.6 25.0 58.3 - 41.2 34.2
L. Brown L. Brown G 2 22.0 7.5 4.5 0.5 1.5 0.0 2.5 6.0 5.5 - - - 41.7 33.3 75.0 - 54.5 50.0
Jaelyn Brown Jaelyn Brown G 2 12.0 7.0 1.0 0.5 0.5 0.0 1.0 4.5 3.5 - - - 33.3 50.0 75.0 - 55.9 44.4
Rennia Davis Rennia Davis - 2 8.5 6.5 3.0 0.5 0.0 0.0 0.5 4.0 5.5 - - - 75.0 0 100.0 - 77.0 75.0
J. Melbourne J. Melbourne G 2 18.0 6.5 0.5 2.5 1.0 0.5 2.5 5.5 3.0 - - - 45.5 33.3 50.0 - 50.9 50.0
M. Holmes M. Holmes F 2 17.0 5.5 5.0 0.0 1.0 0.5 1.0 4.5 6.5 - - - 33.3 50.0 100.0 - 51.1 38.9
S. Dolson S. Dolson C 2 17.0 3.0 2.0 0.0 0.5 0.0 0.5 3.5 1.5 - - - 28.6 0.0 66.7 - 36.1 28.6
G. VanSlooten G. VanSlooten - 2 15.0 2.0 2.0 0.5 0.0 0.5 0.0 1.5 3.5 - - - 0.0 0 66.7 - 35.5 0.0
E. Ladine E. Ladine - 2 6.0 2.0 0.5 0.0 0.5 0.0 0.0 2.0 1.0 - - - 25.0 33.3 50.0 - 41.0 37.5
T. Mair T. Mair - 2 14.5 2.0 3.0 4.5 0.5 0.0 2.0 3.0 5.0 - - - 16.7 0.0 100.0 - 29.1 16.7
Natisha Hiedeman Natisha Hiedeman G 1 14.0 0.0 2.0 3.0 0.0 1.0 2.0 4.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0
Beatrice Mompremier Beatrice Mompremier F 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
J. Brown J. Brown - 1 4.0 0.0 3.0 1.0 0.0 0.0 0.0 1.0 3.0 - - - 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