Oklahoma
2023 Team Stats (21 games)
67.8
PPG
70.4
Opp
-3.4
Margin
44.2%
FG%
33.9%
3P%
74.0%
FT%
32.9
RPG
12.4
APG
13.7
TO
76.1
Pace
Model Outputs
2022-2023
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 → | 1369 (#39) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1359 (#45) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.2 (#50) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.390 (#83) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.331 (#267) | NetEff -6.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.715 (#36) | AdjNet +8.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.717 (#36) | AdjNet +8.0 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. Sherfield
|
- | 25 | 34.3 | 15.0 | 2.3 | 3.2 | 0.7 | 0.0 | 2.3 | 12.3 | 6.7 | - | - | - | 37.1 | 33.5 | 84.6 | - | 55.7 | 45.9 |
J. Hill
|
- | 25 | 33.4 | 11.1 | 5.8 | 1.6 | 0.9 | 0.6 | 1.4 | 6.7 | 11.8 | 40 | 3.3 | 4.6 | 52.4 | 33.3 | 79.5 | 1.09 | 69.2 | 56.8 |
T. Groves
|
- | 25 | 25.5 | 9.9 | 7.0 | 1.3 | 0.8 | 1.0 | 1.6 | 6.5 | 12.0 | - | - | - | 50.6 | 33.3 | 76.3 | - | 66.0 | 56.2 |
M. Uzan
|
G | 25 | 30.2 | 8.5 | 2.8 | 2.6 | 0.7 | 0.2 | 2.3 | 6.8 | 5.8 | -85 | -6.5 | -9.2 | 45.9 | 41.3 | 71.4 | 0.12 | 58.4 | 53.5 |
J. Groves
|
- | 24 | 18.0 | 5.4 | 2.4 | 0.5 | 0.2 | 0.0 | 0.9 | 5.0 | 2.7 | - | - | - | 40.8 | 37.5 | 66.7 | - | 51.9 | 50.8 |
O. Oweh
|
G | 21 | 15.0 | 5.2 | 2.4 | 0.2 | 1.1 | 0.2 | 1.3 | 4.4 | 3.6 | 27 | 1.8 | 2.6 | 42.4 | 25.0 | 69.8 | 0.82 | 49.6 | 42.9 |
Sam Godwin
|
- | 25 | 12.7 | 4.4 | 3.2 | 0.4 | 0.3 | 0.7 | 0.6 | 2.7 | 5.7 | - | - | - | 61.2 | 0 | 61.1 | - | 65.8 | 61.2 |
J. Bamisile
|
G | 15 | 11.1 | 3.8 | 2.2 | 0.6 | 0.3 | 0.4 | 0.9 | 3.4 | 3.0 | - | - | - | 39.2 | 22.7 | 75.0 | - | 50.6 | 44.1 |
B. Cortes
|
G | 22 | 18.1 | 3.5 | 1.6 | 2.1 | 0.6 | 0.1 | 1.5 | 2.6 | 3.8 | - | - | - | 44.8 | 47.4 | 62.5 | 0.05 | 59.2 | 52.6 |
C.J. Noland
|
G | 19 | 14.6 | 3.1 | 1.1 | 0.7 | 0.5 | 0.0 | 0.7 | 2.8 | 1.8 | - | - | - | 35.2 | 21.6 | 66.7 | - | 50.0 | 42.6 |
B. Schröder
|
- | 4 | 5.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.2 | 1.5 | 0.2 | - | - | - | 50.0 | 0 | 66.7 | - | 54.6 | 50.0 |
R. Issanza
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -14 | -0.9 | -2.5 | - | - | - | 0.59 | - | - |
Y. Keita
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -4 | -0.8 | -3.1 | - | - | - | -0.15 | - | - |
L. Northweather
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 19 | 2.4 | 10.0 | - | - | - | 0.44 | - | - |
B. Seacat
|
- | 4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jake Moser
|
- | 4 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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