Oklahoma State Cowgirls
2019 Team Stats (10 games)
62.2
PPG
68.8
Opp
-6.6
Margin
36.3%
FG%
29.8%
3P%
75.8%
FT%
36.3
RPG
12.9
APG
13.1
TO
80.9
Pace
Model Outputs
2018-2019
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 → | 1351 (#40) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1339 (#48) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +42.8 (#26) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.984 (#12) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-27 | @ | Wichita State Shockers | W | 60 - 47 |
| 2018-11-30 | vs | Texas State Bobcats | W | 66 - 55 |
| 2019-01-02 | @ | Texas Longhorns | L | 51 - 60 |
| 2019-01-26 | vs | Iowa State Cyclones | L | 71 - 84 |
| 2019-01-30 | vs | Baylor Bears | L | 58 - 66 |
| 2019-02-06 | vs | Oklahoma Sooners | W | 84 - 74 |
| 2019-02-12 | vs | Texas Longhorns | L | 55 - 61 |
| 2019-02-16 | @ | Iowa State Cyclones | L | 67 - 89 |
| 2019-03-02 | @ | Baylor Bears | L | 44 - 76 |
| 2019-03-08 | vs | Kansas Jayhawks | L | 66 - 76 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
V. Gray
|
G | 10 | 36.8 | 21.5 | 5.0 | 1.6 | 1.0 | 1.4 | 2.3 | 18.3 | 9.9 | - | - | - | 43.2 | 40.7 | 76.7 | 1.75 | 51.3 | 46.2 |
B. Miller
|
G | 10 | 36.0 | 14.0 | 4.8 | 2.9 | 1.5 | 0.2 | 2.3 | 15.6 | 5.5 | - | - | - | 32.1 | 29.4 | 78.1 | 1.44 | 41.2 | 36.9 |
J. Asberry
|
G | 10 | 18.2 | 8.0 | 1.6 | 1.3 | 1.8 | 0.2 | 1.9 | 7.7 | 3.3 | - | - | - | 35.1 | 34.1 | 66.7 | 0.98 | 47.1 | 44.2 |
J. Hobbs
|
G | 10 | 24.2 | 5.0 | 1.3 | 2.9 | 0.3 | 0.0 | 1.0 | 4.4 | 4.1 | - | - | - | 34.1 | 33.3 | 87.5 | 0.92 | 52.6 | 48.9 |
K. De Lapp
|
C | 10 | 18.4 | 3.4 | 3.5 | 0.5 | 0.2 | 0.7 | 1.1 | 3.3 | 3.9 | - | - | - | 45.5 | 20.0 | 50.0 | 0.65 | 47.7 | 47.0 |
L. Jones
|
F | 10 | 24.5 | 3.3 | 6.5 | 1.3 | 0.6 | 0.0 | 1.2 | 3.2 | 7.3 | -12 | -12.0 | -48.0 | 37.5 | 31.8 | 100.0 | 0.54 | 50.2 | 48.4 |
C. de Sousa
|
G | 8 | 13.8 | 3.2 | 2.9 | 1.6 | 0.5 | 0.0 | 0.9 | 2.4 | 5.0 | - | - | - | 52.6 | 33.3 | 71.4 | 0.64 | 58.9 | 55.3 |
M. Gnanou
|
C | 10 | 13.3 | 2.5 | 4.1 | 0.5 | 0.3 | 0.6 | 1.2 | 3.2 | 3.6 | - | - | - | 28.1 | 0.0 | 63.6 | 0.62 | 33.9 | 28.1 |
A. Winchester
|
F | 8 | 7.0 | 1.0 | 1.9 | 0.1 | 0.2 | 0.0 | 0.5 | 1.2 | 1.5 | - | - | - | 40.0 | 0.0 | 0 | 0.84 | 40.0 | 40.0 |
B. Gerlich
|
F | 8 | 5.1 | 0.9 | 0.5 | 0.1 | 0.2 | 0.0 | 0.1 | 1.2 | 0.4 | - | - | - | 10.0 | 0.0 | 100.0 | 0.77 | 28.7 | 10.0 |
K. Wheeler
|
G | 6 | 4.3 | 0.3 | 0.3 | 0.2 | 0.3 | 0.0 | 0.0 | 0.3 | 0.8 | - | - | - | 0.0 | 0 | 100.0 | 0.31 | 34.7 | 0.0 |
M. Castro
|
G | 9 | 5.7 | 0.2 | 1.4 | 0.3 | 0.0 | 0.1 | 0.0 | 1.4 | 0.7 | - | - | - | 0.0 | 0.0 | 100.0 | 0.76 | 7.2 | 0.0 |
O. Gray
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 25 | 12.5 | 86.6 | 0 | 0 | 0 | -0.33 | 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