Texas Longhorns
2024 Team Stats (38 games)
80.1
PPG
57.7
Opp
+22.4
Margin
49.1%
FG%
36.5%
3P%
71.0%
FT%
40.1
RPG
16.1
APG
13.7
TO
85.3
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 → | 1294 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1444 (#4) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +61.5 (#3) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.989 (#2) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#2) | AdjNet +56.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#2) | AdjNet +59.1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Booker
|
F | 37 | 30.8 | 16.5 | 5.0 | 5.0 | 1.5 | 0.4 | 2.9 | 13.5 | 11.8 | 107 | 8.9 | 8.4 | 45.7 | 30.6 | 87.6 | 0.71 | 53.8 | 47.6 |
R. Harmon
|
G | 12 | 27.4 | 14.1 | 5.6 | 7.8 | 3.1 | 0.2 | 1.2 | 11.0 | 18.5 | - | - | - | 52.3 | 31.8 | 66.7 | -0.18 | 57.2 | 54.9 |
T. Jones
|
F | 33 | 20.1 | 12.3 | 6.3 | 0.3 | 0.9 | 1.8 | 1.4 | 7.7 | 12.6 | 56 | 7.0 | 7.0 | 60.0 | 0.0 | 69.2 | 0.36 | 63.7 | 60.0 |
A. Moore
|
F | 33 | 22.0 | 11.3 | 6.1 | 1.2 | 0.7 | 0.2 | 1.7 | 7.9 | 9.8 | -22 | -4.4 | -1.8 | 52.9 | 28.6 | 66.2 | 0.94 | 57.7 | 53.6 |
S. Gonzales
|
G | 38 | 31.8 | 9.4 | 3.4 | 2.7 | 1.6 | 0.2 | 1.8 | 8.7 | 6.7 | 100 | 7.1 | 6.4 | 41.4 | 38.0 | 78.6 | 0.61 | 51.8 | 50.5 |
D. Gaston
|
F | 25 | 18.5 | 8.4 | 4.2 | 0.4 | 0.6 | 0.9 | 1.4 | 6.5 | 6.6 | 52 | 3.7 | 5.7 | 53.7 | 0 | 71.4 | 0.23 | 56.9 | 53.7 |
S. Holle
|
G | 38 | 32.7 | 7.6 | 2.8 | 2.0 | 1.1 | 0.7 | 1.3 | 6.3 | 6.6 | 114 | 8.1 | 7.3 | 47.9 | 37.6 | 58.5 | 0.69 | 56.0 | 55.2 |
A. Muhammad
|
F | 38 | 19.5 | 6.1 | 4.3 | 0.9 | 0.8 | 0.1 | 1.1 | 4.6 | 6.6 | -17 | -1.1 | -2.8 | 52.6 | 0 | 57.6 | -0.57 | 54.9 | 52.6 |
K. Faye
|
F | 29 | 12.1 | 5.5 | 3.5 | 0.2 | 0.8 | 0.7 | 1.0 | 3.5 | 6.1 | 0 | 0.0 | 0.0 | 50.5 | 0 | 78.4 | 0.19 | 59.9 | 50.5 |
N. Mwenentanda
|
G | 35 | 10.6 | 3.7 | 1.7 | 0.7 | 0.3 | 0.3 | 0.9 | 3.3 | 2.3 | 8 | 0.7 | 2.7 | 44.8 | 30.0 | 61.8 | 0.13 | 48.9 | 46.1 |
S. Graves
|
G | 2 | 5.0 | 3.0 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.5 | 2.5 | - | - | - | 66.7 | 66.7 | 0 | - | 100.0 | 100.0 |
G. Maul
|
G | 27 | 9.4 | 2.3 | 1.0 | 1.1 | 0.3 | 0.1 | 0.6 | 2.4 | 1.9 | 8 | 1.1 | 7.4 | 32.3 | 38.2 | 61.5 | 0.06 | 44.5 | 42.3 |
J. Codio
|
G | 15 | 3.9 | 1.7 | 0.5 | 0.0 | 0.1 | 0.1 | 0.2 | 1.1 | 1.2 | - | - | - | 62.5 | 62.5 | 50.0 | - | 77.0 | 78.1 |
T. Herron
|
C | 11 | 3.5 | 1.5 | 0.7 | 0.1 | 0.1 | 0.2 | 0.0 | 1.2 | 1.4 | - | - | - | 53.8 | 0 | 50.0 | - | 54.2 | 53.8 |
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