Texas
2023 Team Stats (30 games)
76.9
PPG
69.9
Opp
+7.3
Margin
46.9%
FG%
35.2%
3P%
76.4%
FT%
32.4
RPG
15.3
APG
11.6
TO
78.8
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 → | 1362 (#44) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1427 (#27) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.9 (#17) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.623 (#26) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.730 (#48) | NetEff +9.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.893 (#5) | AdjNet +18.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.894 (#5) | AdjNet +18.5 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Carr
|
- | 32 | 35.3 | 16.3 | 3.2 | 4.1 | 1.5 | 0.1 | 1.6 | 12.2 | 11.3 | - | - | - | 42.5 | 36.4 | 76.3 | - | 59.3 | 51.0 |
S. Rice
|
- | 32 | 25.9 | 13.8 | 3.5 | 1.9 | 0.9 | 0.3 | 1.5 | 8.9 | 10.0 | - | - | - | 45.5 | 36.6 | 86.9 | - | 65.2 | 54.7 |
T. Hunter
|
G | 32 | 30.9 | 10.5 | 2.7 | 2.3 | 0.9 | 0.2 | 1.8 | 8.3 | 6.6 | - | - | - | 38.9 | 34.4 | 79.4 | 0.05 | 57.1 | 47.4 |
T. Allen
|
- | 29 | 29.0 | 10.2 | 5.2 | 3.2 | 1.0 | 0.3 | 2.0 | 7.3 | 10.6 | - | - | - | 48.4 | 15.4 | 72.1 | - | 57.2 | 48.8 |
D. Disu
|
- | 30 | 19.5 | 9.4 | 4.7 | 1.0 | 0.7 | 1.4 | 1.2 | 6.0 | 10.0 | - | - | - | 61.9 | 37.5 | 79.6 | - | 69.6 | 64.4 |
C. Bishop
|
- | 32 | 17.8 | 6.5 | 3.7 | 0.9 | 0.8 | 0.6 | 1.0 | 4.6 | 6.8 | - | - | - | 52.7 | 0.0 | 64.6 | - | 59.6 | 52.7 |
Cunningham, Brock
|
- | 32 | 18.3 | 4.3 | 3.5 | 1.4 | 0.8 | 0.1 | 0.7 | 3.2 | 6.3 | - | - | - | 46.5 | 40.4 | 90.9 | - | 62.8 | 55.9 |
D. Mitchell
|
F | 32 | 16.8 | 3.8 | 3.7 | 0.3 | 0.6 | 0.3 | 0.5 | 2.2 | 6.0 | 28 | 1.9 | 3.1 | 65.3 | 0 | 40.9 | 1.18 | 75.3 | 65.3 |
A. Morris
|
- | 32 | 10.8 | 3.5 | 1.1 | 0.5 | 0.6 | 0.2 | 0.4 | 3.2 | 2.3 | - | - | - | 37.6 | 32.7 | 81.8 | - | 52.9 | 46.5 |
C. Bott
|
- | 5 | 1.6 | 0.6 | 0.6 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 1.2 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
Alex Anamekwe
|
- | 8 | 2.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.6 | - | - | - | 66.7 | 0.0 | 0 | - | 66.7 | 66.7 |
D. Askew
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -8 | -0.8 | -1.3 | - | - | - | 0.7 | - | - |
R. Brumbaugh
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 69 | 5.3 | 5.5 | - | - | - | 1.48 | - | - |
G. Perryman
|
- | 7 | 1.4 | 0.0 | 0.3 | 0.1 | 0.3 | 0.0 | 0.3 | 0.1 | 0.3 | - | - | - | 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