Oklahoma Sooners
2025 Team Stats (34 games)
84.9
PPG
68.9
Opp
+15.8
Margin
45.4%
FG%
32.6%
3P%
72.0%
FT%
47.4
RPG
21.9
APG
18.8
TO
96.0
Pace
90.6
AdjO
58.7
AdjD
#11
Rank
Model Outputs
2024-2025
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 → | 1420 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1391 (#11) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.0 (#10) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.915 (#26) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.908 (#29) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.995 (#12) | AdjNet +45.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.995 (#13) | AdjNet +46.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.948 (#11) | AdjO 90.6 | AdjD 58.7 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Beers
|
C | 33 | 22.3 | 17.3 | 9.4 | 1.1 | 0.6 | 1.2 | 2.8 | 10.5 | 16.3 | 20 | 0.6 | 0.9 | 63.3 | 36.4 | 69.8 | 0.72 | 67.6 | 65.0 |
P. Verhulst
|
G | 35 | 29.3 | 14.9 | 5.7 | 3.9 | 1.4 | 0.8 | 2.0 | 12.4 | 12.4 | 39 | 1.1 | 1.3 | 42.1 | 35.2 | 83.1 | 1.65 | 55.2 | 51.6 |
S. Williams
|
F | 35 | 23.4 | 10.6 | 4.8 | 2.2 | 0.9 | 0.2 | 2.5 | 9.3 | 6.9 | 29 | 1.2 | 6.5 | 41.7 | 29.7 | 73.6 | 0.95 | 50.9 | 47.1 |
S. Vann
|
F | 35 | 23.2 | 9.9 | 4.9 | 2.7 | 1.2 | 0.1 | 1.7 | 9.3 | 7.8 | 67 | 1.8 | 2.5 | 41.8 | 27.0 | 81.8 | 1.54 | 50.1 | 47.5 |
Z. Vann
|
G | 35 | 15.3 | 6.9 | 2.4 | 1.9 | 1.3 | 0.3 | 1.4 | 5.9 | 5.4 | 52 | 1.5 | 3.8 | 41.1 | 33.3 | 71.6 | 1.13 | 50.7 | 46.4 |
L. Scott
|
F | 34 | 14.2 | 6.8 | 4.8 | 1.3 | 0.6 | 0.3 | 1.8 | 4.8 | 7.3 | 7 | 0.2 | 0.3 | 53.1 | 54.5 | 66.7 | 0.27 | 58.6 | 54.9 |
L. Keys
|
G | 35 | 21.3 | 5.3 | 2.2 | 1.9 | 0.9 | 0.1 | 0.9 | 4.8 | 4.5 | -7 | -0.2 | -0.4 | 37.5 | 33.6 | 66.7 | 0.46 | 52.3 | 51.2 |
J. Scott
|
G | 35 | 13.9 | 4.8 | 1.8 | 2.2 | 0.8 | 0.1 | 1.7 | 4.1 | 4.0 | - | - | - | 43.7 | 27.1 | 69.6 | - | 52.1 | 48.2 |
N. Tot
|
G | 35 | 16.6 | 2.7 | 2.0 | 2.7 | 0.4 | 0.0 | 1.5 | 2.7 | 3.6 | 15 | 0.4 | 1.0 | 31.9 | 28.8 | 85.7 | 0.17 | 46.4 | 43.1 |
A. Joens
|
G | 23 | 5.7 | 2.2 | 0.9 | 0.3 | 0.0 | 0.0 | 0.4 | 2.2 | 1.0 | 2 | 0.1 | 0.7 | 36.0 | 33.3 | 66.7 | -0.5 | 49.7 | 49.0 |
K. Johnson
|
F | 30 | 6.5 | 2.2 | 1.9 | 0.4 | 0.2 | 0.3 | 0.9 | 1.5 | 2.6 | 54 | 1.7 | 4.2 | 53.3 | 27.3 | 60.0 | 1.08 | 58.9 | 56.7 |
B. Culliton
|
C | 34 | 9.7 | 1.9 | 3.0 | 1.1 | 0.2 | 0.3 | 1.1 | 1.4 | 4.0 | 2 | 0.1 | 0.2 | 57.4 | 0 | 56.2 | 0.04 | 58.3 | 57.4 |
L. Allen
|
C | 21 | 4.8 | 1.8 | 0.9 | 0.3 | 0.3 | 0.4 | 0.2 | 1.6 | 1.9 | 5 | 0.2 | 2.1 | 44.1 | 38.5 | 37.5 | 0.03 | 50.6 | 51.5 |
C. Smith
|
F | 17 | 2.9 | 1.2 | 0.4 | 0.1 | 0.2 | 0.1 | 0.1 | 1.0 | 0.9 | -1 | -0.1 | -0.8 | 41.2 | 33.3 | 71.4 | 0.59 | 49.8 | 44.1 |
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