Oklahoma State
2026 Team Stats (33 games)
83.8
PPG
83.4
Opp
+0.4
Margin
45.8%
FG%
34.0%
3P%
74.4%
FT%
38.2
RPG
14.6
APG
11.9
TO
85.9
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 → | 971 (#567) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.4 (#90) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.536 (#195) | AdjO 82.6 | AdjD 81.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.842 (#86) | 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 → | 0.794 (#101) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1142 (#98) | RD 104 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Roy
|
G | 29 | 28.7 | 16.8 | 4.3 | 1.3 | 0.6 | 0.2 | 1.6 | 11.8 | 9.8 | 12 | 0.7 | 2.0 | 42.8 | 39.2 | 85.3 | 0.63 | 61.2 | 55.3 |
P. Fallah
|
F | 24 | 26.0 | 14.1 | 5.9 | 0.8 | 1.2 | 0.5 | 1.3 | 9.2 | 11.9 | 24 | 1.3 | 3.7 | 59.0 | 35.7 | 63.8 | 0.77 | 63.2 | 61.3 |
K. Clary
|
G | 32 | 28.2 | 10.8 | 2.9 | 4.6 | 1.2 | 0.0 | 2.0 | 8.3 | 9.2 | 25 | 1.2 | 3.8 | 39.0 | 35.7 | 82.6 | 0.59 | 54.2 | 46.6 |
V. Miller
|
- | 31 | 25.3 | 10.8 | 2.6 | 1.7 | 1.1 | 0.2 | 1.6 | 7.7 | 7.2 | 8 | 0.4 | 1.5 | 43.3 | 38.6 | 86.0 | 0.25 | 59.6 | 52.5 |
C. Coleman
|
- | 32 | 25.2 | 10.3 | 5.6 | 1.0 | 0.7 | 0.9 | 1.2 | 8.0 | 9.2 | - | - | - | 50.2 | 27.6 | 68.3 | - | 56.3 | 53.3 |
J. Curry
|
- | 31 | 23.9 | 10.2 | 3.3 | 3.6 | 1.3 | 0.1 | 1.5 | 8.4 | 8.5 | 36 | 1.9 | 7.6 | 41.7 | 32.1 | 82.4 | 0.78 | 52.8 | 46.5 |
I. Coleman
|
- | 31 | 19.0 | 6.4 | 3.9 | 0.9 | 0.8 | 0.2 | 1.2 | 5.3 | 5.6 | 30 | 1.5 | 5.1 | 49.4 | 8.7 | 55.7 | 0.64 | 51.9 | 50.0 |
A. Vukovic
|
- | 25 | 15.5 | 5.2 | 3.4 | 0.6 | 0.5 | 0.4 | 0.6 | 3.4 | 6.2 | -4 | -0.2 | -1.1 | 60.0 | 33.3 | 68.3 | 0.08 | 63.6 | 60.6 |
B. Ahmed
|
C | 20 | 13.2 | 5.1 | 3.7 | 0.2 | 0.2 | 0.5 | 0.9 | 3.2 | 5.6 | - | - | - | 55.4 | 0 | 56.6 | 0.04 | 57.7 | 55.4 |
Lefteris Mantzoukas
|
- | 11 | 18.0 | 4.5 | 4.3 | 0.5 | 0.2 | 0.4 | 1.0 | 5.0 | 3.9 | 20 | 2.2 | 5.8 | 36.4 | 21.9 | 60.0 | 0.18 | 43.7 | 42.7 |
R. Jennings
|
F | 3 | 12.7 | 3.7 | 4.0 | 0.0 | 1.0 | 0.3 | 1.0 | 3.0 | 5.0 | 12 | 4.0 | 14.5 | 44.4 | 50.0 | 50.0 | 0.17 | 51.1 | 50.0 |
Ryan Crotty
|
- | 27 | 10.1 | 2.6 | 1.6 | 0.5 | 0.0 | 0.0 | 0.2 | 2.3 | 2.1 | 15 | 1.1 | 7.9 | 30.6 | 30.2 | 75.0 | 0.16 | 48.7 | 43.5 |
Daniel Guetta
|
- | 11 | 9.5 | 2.0 | 0.7 | 0.8 | 0.3 | 0.0 | 1.1 | 1.6 | 1.1 | -8 | -1.3 | -11.5 | 50.0 | 14.3 | 60.0 | -0.17 | 54.5 | 52.8 |
Mekhi Ragland
|
- | 14 | 5.6 | 1.4 | 1.6 | 0.2 | 0.4 | 0.2 | 0.1 | 1.9 | 1.9 | 4 | 0.6 | 6.9 | 34.6 | 0.0 | 50.0 | -0.05 | 36.0 | 34.6 |
K. Cole
|
- | 15 | 3.6 | 0.8 | 0.3 | 0.2 | 0.0 | 0.0 | 0.1 | 0.9 | 0.3 | -14 | -1.3 | -26.7 | 30.8 | 33.3 | 0 | -0.26 | 46.2 | 46.2 |
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