Oklahoma State
2024 Team Stats (32 games)
71.0
PPG
72.7
Opp
-1.7
Margin
44.1%
FG%
33.4%
3P%
69.7%
FT%
33.7
RPG
13.4
APG
12.9
TO
77.5
Pace
Model Outputs
2023-2024
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 → | 1286 (#57) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1218 (#110) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +29.8 (#92) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.208 (#105) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.432 (#213) | NetEff -2.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.321 (#85) | AdjNet -6.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.321 (#85) | AdjNet -6.5 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Small
|
- | 31 | 33.0 | 15.1 | 4.7 | 4.1 | 1.0 | 0.3 | 3.1 | 10.9 | 11.2 | -33 | -3.3 | -5.2 | 44.1 | 37.4 | 86.6 | -0.04 | 59.5 | 53.1 |
Bryce Thompson
|
G | 18 | 27.7 | 11.6 | 1.9 | 1.5 | 0.8 | 0.1 | 1.9 | 10.0 | 3.9 | 6 | 1.2 | 2.1 | 39.4 | 34.4 | 67.3 | 0.08 | 51.3 | 48.1 |
E. Dailey Jr.
|
- | 32 | 22.3 | 9.3 | 4.8 | 1.5 | 0.8 | 0.1 | 1.1 | 7.1 | 8.4 | -61 | -7.6 | -14.1 | 49.6 | 33.3 | 60.2 | -0.57 | 56.0 | 53.8 |
J. Wright
|
- | 32 | 23.3 | 8.7 | 1.4 | 0.8 | 0.8 | 0.1 | 0.6 | 7.7 | 3.6 | -3 | -1.0 | -14.3 | 32.1 | 32.8 | 75.3 | 0.12 | 49.4 | 44.1 |
B. Garrison
|
F | 32 | 22.6 | 7.5 | 5.3 | 1.5 | 0.8 | 1.5 | 1.7 | 5.0 | 9.9 | -45 | -5.6 | -9.9 | 57.2 | 0 | 64.8 | -0.22 | 60.5 | 57.2 |
Q. Williams
|
G | 32 | 28.2 | 7.5 | 5.5 | 2.2 | 1.1 | 0.3 | 1.9 | 6.2 | 8.5 | -25 | -3.1 | -4.9 | 47.5 | 26.2 | 69.5 | -0.01 | 53.6 | 50.3 |
J. Keller
|
G | 25 | 19.7 | 6.5 | 2.0 | 1.4 | 0.5 | 0.0 | 1.2 | 4.8 | 4.3 | -53 | -6.6 | -8.4 | 49.6 | 27.8 | 78.9 | -0.34 | 60.1 | 55.9 |
J. Hicklen
|
- | 32 | 17.2 | 4.6 | 1.2 | 0.4 | 0.3 | 0.1 | 0.4 | 4.0 | 2.3 | -59 | -7.4 | -17.6 | 37.2 | 38.8 | 63.6 | -0.66 | 55.3 | 54.7 |
M. Marsh
|
- | 30 | 11.1 | 3.4 | 2.5 | 0.7 | 0.2 | 0.2 | 0.9 | 2.8 | 3.3 | -5 | -0.6 | -4.5 | 52.4 | 0 | 62.5 | -0.08 | 54.5 | 52.4 |
I. Miranda
|
F | 3 | 5.3 | 2.7 | 2.3 | 0.0 | 0.3 | 0.0 | 1.0 | 2.3 | 2.0 | - | - | - | 42.9 | 50.0 | 50.0 | - | 50.8 | 50.0 |
J. McBride
|
F | 24 | 6.5 | 2.5 | 1.5 | 0.1 | 0.2 | 0.1 | 0.4 | 2.0 | 2.0 | 8 | 1.6 | 10.9 | 52.1 | 28.6 | 21.1 | 0.13 | 53.2 | 58.3 |
C. Dow
|
G | 27 | 11.4 | 1.9 | 1.4 | 0.4 | 0.4 | 0.1 | 0.4 | 2.1 | 1.8 | -6 | -1.2 | -6.7 | 28.1 | 24.0 | 77.8 | -0.06 | 41.8 | 38.6 |
W. Church
|
- | 6 | 1.0 | 0.7 | 0.3 | 0.0 | 0.2 | 0.0 | 0.3 | 0.7 | 0.2 | 5 | 2.5 | 113.2 | 50.0 | 0.0 | 0.0 | 0.12 | 37.6 | 50.0 |
C. Sager
|
- | 7 | 1.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.6 | -0.6 | 5 | 2.5 | 113.2 | 0.0 | 0.0 | 0.0 | 0.12 | 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