Seattle Storm
2025 Team Stats (48 games)
81.9
PPG
80.0
Opp
+1.9
Margin
45.0%
FG%
34.6%
3P%
76.9%
FT%
31.3
RPG
21.1
APG
11.8
TO
87.9
Pace
84.5
AdjO
78.6
AdjD
#8
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 → | 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. More → | 1005 (#8) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.7 (#8) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.578 (#8) | NetEff +2.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.745 (#7) | AdjNet +7.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.752 (#7) | AdjNet +7.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More → | 1020 (#9) | RD 112 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nneka Ogwumike
|
F | 48 | 30.7 | 18.2 | 7.1 | 2.3 | 1.1 | 0.4 | 1.9 | 13.9 | 13.3 | - | - | - | 51.5 | 38.8 | 83.1 | -0.4 | 60.1 | 57.2 |
Skylar Diggins-Smith
|
G | 47 | 31.0 | 15.5 | 2.4 | 5.9 | 1.3 | 0.8 | 2.2 | 12.5 | 11.2 | - | - | - | 42.3 | 38.6 | 78.6 | -0.32 | 53.7 | 48.4 |
Gabby Williams
|
F | 47 | 31.5 | 11.5 | 4.2 | 4.1 | 2.2 | 0.4 | 1.9 | 10.6 | 9.9 | - | - | - | 42.5 | 30.0 | 85.7 | - | 50.9 | 47.7 |
Brittney Sykes
|
G | 17 | 28.6 | 10.5 | 2.6 | 2.8 | 1.0 | 0.4 | 2.4 | 9.1 | 5.9 | - | - | - | 39.0 | 27.0 | 76.2 | -0.54 | 49.0 | 42.2 |
E. Wheeler
|
G | 48 | 25.6 | 10.3 | 2.7 | 3.3 | 1.2 | 0.2 | 1.5 | 9.6 | 6.6 | - | - | - | 40.0 | 36.5 | 87.0 | - | 51.3 | 48.8 |
E. Magbegor
|
F | 47 | 27.1 | 7.8 | 6.1 | 2.1 | 0.7 | 2.1 | 1.0 | 6.3 | 11.5 | - | - | - | 49.7 | 28.0 | 66.7 | -0.31 | 54.7 | 52.0 |
D. Malonga
|
C | 45 | 14.9 | 7.8 | 4.9 | 0.9 | 0.4 | 0.7 | 1.1 | 6.4 | 7.2 | - | - | - | 53.8 | 30.0 | 60.3 | - | 56.0 | 54.9 |
B. Fraser
|
- | 1 | 12.0 | 5.0 | 2.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | 3.0 | - | - | - | 66.7 | 0 | 50.0 | - | 64.4 | 66.7 |
Li Yueru
|
C | 10 | 9.7 | 4.0 | 2.4 | 0.7 | 0.2 | 0.0 | 0.9 | 2.8 | 3.6 | - | - | - | 42.9 | 50.0 | 93.3 | -0.04 | 57.8 | 46.4 |
Zia Cooke
|
G | 28 | 10.5 | 3.6 | 0.5 | 0.5 | 0.4 | 0.0 | 0.9 | 3.4 | 0.8 | - | - | - | 35.4 | 35.7 | 64.3 | - | 46.6 | 43.2 |
Alysha Clark
|
F | 28 | 18.0 | 3.6 | 2.4 | 1.1 | 0.8 | 0.1 | 0.6 | 3.5 | 3.8 | - | - | - | 37.8 | 29.3 | 78.6 | 0.18 | 49.0 | 46.4 |
Tiffany Mitchell
|
G | 24 | 13.0 | 3.0 | 0.6 | 0.3 | 0.3 | 0.2 | 0.4 | 2.7 | 1.3 | - | - | - | 40.0 | 38.9 | 70.0 | 0.33 | 49.5 | 45.4 |
L. Brown
|
G | 26 | 9.6 | 2.3 | 0.7 | 1.1 | 0.3 | 0.0 | 0.2 | 2.1 | 2.1 | - | - | - | 34.5 | 26.8 | 71.4 | - | 48.2 | 44.5 |
M. Holmes
|
F | 12 | 7.0 | 1.6 | 1.5 | 0.2 | 0.4 | 0.3 | 0.1 | 1.0 | 2.9 | - | - | - | 75.0 | 0 | 50.0 | - | 73.8 | 75.0 |
S. Sundell
|
- | 1 | 20.0 | 1.0 | 2.0 | 1.0 | 1.0 | 0.0 | 4.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0 | 50.0 | - | 12.9 | 0.0 |
K. Samuelson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Conner
|
- | 1 | 8.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
J. Hobbs
|
- | 1 | 5.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 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