Seattle Storm
2019 Team Stats (2 games)
76.5
PPG
76.3
Opp
-0.9
Margin
43.1%
FG%
36.6%
3P%
83.9%
FT%
29.5
RPG
18.5
APG
13.0
TO
84.8
Pace
Model Outputs
2019
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 → | 1040 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1011 (#8) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.9 (#7) | HCA +4.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.460 (#8) | - |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Natasha Howard
|
F | 38 | 30.6 | 17.5 | 8.1 | 2.2 | 2.1 | 1.7 | 2.8 | 14.7 | 14.1 | - | - | - | 44.3 | 31.0 | 80.4 | -1.98 | 52.6 | 47.5 |
Jewell Loyd
|
G | 30 | 25.6 | 12.7 | 2.8 | 2.2 | 1.3 | 0.1 | 2.0 | 11.3 | 5.8 | - | - | - | 38.8 | 34.2 | 92.9 | -1.7 | 50.7 | 44.7 |
Jordin Canada
|
G | 34 | 28.9 | 10.6 | 2.4 | 5.2 | 2.2 | 0.2 | 2.6 | 10.1 | 8.0 | - | - | - | 39.7 | 22.0 | 77.5 | 2.06 | 46.7 | 41.3 |
Alysha Clark
|
F | 33 | 28.4 | 9.3 | 4.6 | 2.5 | 1.1 | 0.5 | 1.6 | 7.4 | 9.0 | - | - | - | 47.1 | 46.8 | 82.8 | -1.08 | 59.6 | 57.8 |
Mercedes Russell
|
C | 38 | 25.7 | 7.9 | 6.3 | 1.1 | 1.0 | 0.5 | 0.9 | 6.1 | 9.8 | - | - | - | 53.4 | 0 | 67.1 | 0.04 | 56.3 | 53.4 |
Sami Whitcomb
|
G | 35 | 20.0 | 7.1 | 1.7 | 2.3 | 1.1 | 0.1 | 1.5 | 6.6 | 4.0 | - | - | - | 36.8 | 34.7 | 100.0 | 0.85 | 52.4 | 51.1 |
R. Caldwell
|
- | 2 | 14.5 | 6.5 | 0.5 | 3.0 | 0.0 | 0.0 | 0.5 | 4.5 | 5.0 | - | - | - | 55.6 | 50.0 | 0 | - | 72.2 | 72.2 |
P. Hudson
|
- | 2 | 11.0 | 6.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 5.0 | 1.0 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
C. Langhorne
|
F | 38 | 16.7 | 5.6 | 3.1 | 0.9 | 0.3 | 0.2 | 1.3 | 5.1 | 3.7 | - | - | - | 41.1 | 30.8 | 75.0 | - | 49.9 | 46.4 |
K. Mosqueda-Lewis
|
F | 35 | 14.1 | 5.4 | 1.1 | 0.6 | 0.3 | 0.2 | 1.2 | 5.0 | 1.4 | - | - | - | 40.3 | 34.8 | 100.0 | - | 51.5 | 49.1 |
M. Miller
|
- | 2 | 13.5 | 4.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 4.0 | 1.0 | - | - | - | 37.5 | 50.0 | 100.0 | - | 47.4 | 43.8 |
E. Thomas
|
- | 33 | 13.5 | 3.9 | 1.5 | 1.5 | 0.3 | 0.2 | 1.1 | 3.7 | 2.5 | - | - | - | 37.4 | 18.8 | 75.0 | - | 45.5 | 39.8 |
T. Muldrow
|
- | 2 | 16.5 | 2.5 | 1.5 | 0.5 | 0.5 | 0.5 | 1.0 | 2.0 | 2.5 | - | - | - | 50.0 | 0.0 | 100.0 | - | 56.3 | 50.0 |
A. Howard
|
- | 5 | 12.0 | 2.2 | 2.0 | 0.2 | 0.4 | 0.0 | 1.2 | 3.4 | 0.2 | - | - | - | 29.4 | 16.7 | 0 | - | 32.4 | 32.4 |
Z. Rice
|
- | 1 | 13.0 | 2.0 | 3.0 | 1.0 | 2.0 | 0.0 | 1.0 | 3.0 | 4.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
Andrew Ford
|
- | 34 | 6.4 | 0.6 | 1.6 | 0.5 | 0.2 | 0.1 | 0.3 | 0.6 | 2.2 | - | - | - | 47.4 | 0 | 42.9 | - | 47.6 | 47.4 |
Blake Dietrick
|
G | 18 | 5.8 | 0.3 | 0.6 | 0.9 | 0.2 | 0.1 | 0.6 | 0.6 | 0.9 | - | - | - | 10.0 | 0.0 | 66.7 | 1.32 | 23.7 | 10.0 |
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