Oklahoma State Cowgirls
2026 Team Stats (33 games)
80.8
PPG
64.3
Opp
+16.5
Margin
46.5%
FG%
34.6%
3P%
75.7%
FT%
37.6
RPG
17.1
APG
13.7
TO
84.7
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1079 (#92) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +34.9 (#25) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.778 (#30) | AdjO 74.6 | AdjD 60.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.959 (#27) | 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 → | 0.942 (#27) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1267 (#40) | RD 114 | GP 33 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Gray
|
G | 33 | 29.5 | 13.4 | 2.0 | 1.7 | 0.9 | 0.2 | 1.6 | 11.4 | 5.2 | 254 | 10.2 | 13.8 | 39.1 | 34.7 | 80.3 | -3.02 | 54.1 | 51.1 |
J. Wooten
|
G | 32 | 27.8 | 13.0 | 3.4 | 5.3 | 1.3 | 0.1 | 2.2 | 10.7 | 10.2 | 301 | 12.0 | 21.0 | 49.0 | 28.9 | 74.7 | 1.08 | 54.2 | 50.6 |
A. Akot
|
F | 33 | 25.7 | 12.6 | 7.1 | 1.8 | 1.4 | 0.9 | 1.8 | 8.5 | 13.3 | 252 | 10.1 | 14.3 | 63.3 | 16.7 | 72.5 | 1.9 | 65.6 | 63.5 |
S. Heard
|
G | 33 | 31.3 | 12.2 | 5.9 | 2.4 | 1.8 | 0.2 | 2.2 | 9.8 | 10.5 | 320 | 12.8 | 18.0 | 42.5 | 30.5 | 79.6 | 6.22 | 54.5 | 49.5 |
H. Timmer
|
G | 33 | 29.9 | 10.8 | 3.2 | 1.9 | 1.4 | 0.5 | 1.1 | 7.7 | 8.9 | 323 | 12.9 | 17.3 | 47.5 | 39.2 | 82.8 | 2.98 | 63.0 | 59.6 |
A. Whiting
|
G | 33 | 29.4 | 9.6 | 5.8 | 2.8 | 1.8 | 0.4 | 2.1 | 8.0 | 10.3 | 290 | 11.6 | 15.5 | 43.2 | 33.0 | 72.2 | 2.88 | 53.2 | 49.4 |
L. Girardi
|
G | 27 | 14.7 | 7.6 | 2.1 | 0.4 | 0.7 | 0.1 | 0.9 | 5.7 | 4.3 | 211 | 10.0 | 27.2 | 42.6 | 39.0 | 83.3 | 0.61 | 60.9 | 58.1 |
F. Acker
|
C | 13 | 4.5 | 2.6 | 1.6 | 0.1 | 0.2 | 0.2 | 0.4 | 2.2 | 2.2 | 27 | 2.5 | 29.0 | 57.1 | 0 | 33.3 | 0.05 | 55.5 | 57.1 |
P. Egharevba
|
F | 33 | 10.0 | 2.0 | 3.1 | 0.7 | 0.4 | 0.5 | 0.7 | 1.6 | 4.5 | 154 | 6.4 | 30.6 | 46.2 | 0 | 63.3 | 1.47 | 51.4 | 46.2 |
T. Heard
|
G | 18 | 4.6 | 0.4 | 0.8 | 0.5 | 0.2 | 0.0 | 0.2 | 0.8 | 0.9 | 39 | 2.6 | 30.6 | 20.0 | 16.7 | 0.0 | 1.64 | 25.2 | 26.7 |
F. Onoh
|
C | 5 | 3.8 | 0.4 | 1.6 | 0.4 | 0.0 | 0.4 | 0.4 | 0.2 | 2.2 | 18 | 3.6 | 103.3 | 100.0 | 0 | 0 | 0.58 | 100.0 | 100.0 |
W. Joseph
|
C | 4 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.5 | -0.2 | 2 | 0.7 | 12.6 | 0.0 | 0 | 0 | 0.25 | 0.0 | 0.0 |
M. Huard
|
G | 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