Seattle Storm
2023 Team Stats (35 games)
79.1
PPG
83.9
Opp
-4.8
Margin
41.4%
FG%
35.2%
3P%
78.6%
FT%
34.9
RPG
18.2
APG
14.7
TO
90.4
Pace
Model Outputs
2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1061 (#5) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.1 (#4) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.624 (#6) | - |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jewell Loyd
|
G | 33 | 35.4 | 24.2 | 4.7 | 3.5 | 1.1 | 0.3 | 2.7 | 20.0 | 11.1 | - | - | - | 36.5 | 34.8 | 89.4 | -1.08 | 52.0 | 43.9 |
E. Magbegor
|
F | 35 | 32.5 | 14.0 | 7.8 | 2.7 | 1.0 | 1.8 | 2.3 | 10.6 | 14.3 | - | - | - | 52.4 | 38.6 | 68.6 | -0.28 | 58.5 | 56.0 |
Sami Whitcomb
|
G | 35 | 25.6 | 10.5 | 3.1 | 3.1 | 0.9 | 0.4 | 2.2 | 8.4 | 7.4 | - | - | - | 41.5 | 39.7 | 84.8 | 2.26 | 58.6 | 56.0 |
Gabby Williams
|
F | 10 | 28.5 | 8.4 | 3.6 | 3.8 | 1.5 | 0.4 | 2.2 | 9.4 | 6.1 | - | - | - | 36.2 | 21.7 | 84.6 | - | 42.1 | 38.8 |
J. Horston
|
G | 31 | 23.2 | 7.1 | 5.2 | 1.6 | 1.2 | 0.6 | 2.1 | 7.3 | 6.3 | - | - | - | 38.1 | 27.0 | 74.0 | - | 44.2 | 40.3 |
Ivana Dojkić
|
G | 20 | 21.0 | 6.8 | 1.9 | 3.2 | 0.8 | 0.1 | 1.6 | 5.5 | 5.8 | - | - | - | 38.2 | 41.2 | 71.4 | - | 52.5 | 47.7 |
Kia Nurse
|
G | 35 | 19.2 | 5.8 | 2.3 | 1.3 | 0.6 | 0.1 | 0.7 | 5.6 | 3.7 | - | - | - | 35.7 | 35.0 | 87.5 | - | 49.1 | 46.4 |
Mercedes Russell
|
C | 32 | 18.7 | 4.9 | 3.8 | 1.2 | 0.4 | 0.5 | 1.5 | 4.2 | 5.1 | - | - | - | 52.2 | 0.0 | 57.7 | 1.14 | 53.2 | 52.2 |
D. Fankam Mendjiadeu
|
F | 32 | 14.3 | 4.1 | 4.5 | 0.3 | 0.4 | 0.3 | 0.9 | 3.3 | 5.5 | - | - | - | 51.9 | 0.0 | 55.3 | - | 53.4 | 51.9 |
Joyner Holmes
|
F | 29 | 10.1 | 3.2 | 2.3 | 0.9 | 0.3 | 0.3 | 0.5 | 3.0 | 3.5 | - | - | - | 37.9 | 31.7 | 76.5 | -0.42 | 48.7 | 45.4 |
J. Melbourne
|
G | 25 | 10.0 | 2.4 | 1.0 | 1.2 | 0.4 | 0.0 | 1.0 | 2.0 | 1.9 | - | - | - | 38.8 | 12.5 | 80.0 | - | 50.0 | 40.8 |
Yvonne Turner
|
G | 16 | 6.6 | 1.7 | 0.6 | 0.7 | 0.3 | 0.0 | 0.6 | 1.3 | 1.4 | - | - | - | 38.1 | 0.0 | 73.3 | 0.74 | 48.9 | 38.1 |
Arella Guirantes
|
G | 5 | 5.2 | 1.0 | 0.6 | 0.4 | 0.2 | 0.2 | 0.2 | 2.2 | 0.0 | - | - | - | 18.2 | 0.0 | 33.3 | - | 20.3 | 18.2 |
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