Oklahoma
2024 Team Stats (32 games)
75.4
PPG
68.8
Opp
+6.6
Margin
46.5%
FG%
34.5%
3P%
74.3%
FT%
35.2
RPG
13.3
APG
12.5
TO
77.9
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 → | 1309 (#47) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1380 (#29) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.3 (#37) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.449 (#69) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.741 (#45) | NetEff +9.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.644 (#45) | AdjNet +5.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.647 (#45) | AdjNet +5.2 |
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. McCollum
|
- | 30 | 31.1 | 13.3 | 2.6 | 3.4 | 0.8 | 0.1 | 2.0 | 10.9 | 7.2 | -8 | -1.0 | -2.4 | 40.4 | 31.4 | 94.3 | -0.14 | 54.8 | 48.6 |
O. Oweh
|
G | 32 | 24.8 | 11.4 | 3.8 | 1.0 | 1.5 | 0.4 | 1.8 | 8.6 | 7.6 | -43 | -6.1 | -13.5 | 49.3 | 37.7 | 64.3 | -0.4 | 56.0 | 52.9 |
Jalon Moore
|
- | 31 | 25.6 | 11.2 | 6.7 | 0.5 | 0.6 | 1.0 | 1.6 | 7.5 | 11.0 | -25 | -3.6 | -5.2 | 51.7 | 41.0 | 73.4 | -0.21 | 61.5 | 57.1 |
R. Soares
|
- | 30 | 24.0 | 9.4 | 4.9 | 1.4 | 0.5 | 0.4 | 1.1 | 5.4 | 10.2 | -18 | -3.6 | -4.8 | 54.7 | 39.2 | 80.4 | 0.12 | 69.7 | 64.3 |
M. Uzan
|
G | 32 | 31.5 | 9.0 | 3.4 | 4.4 | 1.2 | 0.3 | 2.0 | 9.1 | 7.1 | -118 | -5.9 | -23.2 | 39.2 | 29.6 | 67.6 | -0.27 | 46.7 | 45.0 |
J. Hugley IV
|
F | 24 | 17.6 | 8.4 | 3.8 | 1.2 | 0.3 | 0.2 | 1.4 | 5.2 | 7.1 | -27 | -3.4 | -5.5 | 54.8 | 39.4 | 75.8 | -0.11 | 64.8 | 59.9 |
L. Darthard
|
- | 32 | 24.3 | 6.7 | 1.8 | 0.7 | 0.6 | 0.1 | 0.6 | 5.4 | 3.8 | -31 | -4.4 | -7.5 | 37.8 | 37.7 | 75.6 | -0.17 | 55.5 | 52.0 |
Sam Godwin
|
- | 31 | 18.8 | 6.7 | 5.2 | 0.7 | 0.5 | 0.5 | 1.3 | 4.1 | 8.3 | -32 | -4.0 | -10.2 | 59.5 | 0 | 65.2 | -0.2 | 63.0 | 59.5 |
L. Northweather
|
- | 25 | 8.6 | 2.0 | 1.5 | 0.4 | 0.1 | 0.3 | 0.4 | 1.7 | 2.4 | -11 | -1.6 | -5.1 | 40.5 | 26.7 | 81.8 | -0.17 | 54.4 | 50.0 |
Klanjscek, Maks
|
- | 13 | 6.1 | 2.0 | 0.8 | 0.5 | 0.1 | 0.0 | 0.5 | 1.4 | 1.5 | - | - | - | 38.9 | 20.0 | 90.9 | - | 56.9 | 44.4 |
K. Cooper
|
G | 15 | 4.5 | 1.5 | 0.9 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | 1.1 | 1 | 0.5 | 2.9 | 46.7 | 50.0 | 62.5 | 0.01 | 59.4 | 56.7 |
Y. Keita
|
- | 11 | 2.4 | 0.8 | 0.9 | 0.1 | 0.0 | 0.0 | 0.3 | 0.5 | 1.1 | 0 | 0.0 | 0.0 | 60.0 | 0 | 37.5 | -0.0 | 52.8 | 60.0 |
R. Lovelace
|
- | 6 | 1.7 | 0.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
Jake Moser
|
- | 9 | 1.8 | 0.2 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
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