Texas Longhorns
2023 Team Stats (23 games)
68.9
PPG
57.3
Opp
+11.6
Margin
43.6%
FG%
35.1%
3P%
67.2%
FT%
38.2
RPG
14.6
APG
15.5
TO
83.5
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 → | 1334 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1410 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +61.4 (#3) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.988 (#4) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Gonzales
|
G | 23 | 33.9 | 13.3 | 4.5 | 2.6 | 1.5 | 0.4 | 2.3 | 10.3 | 9.6 | - | - | - | 43.9 | 38.8 | 85.1 | - | 57.2 | 52.3 |
S. Morris
|
G | 13 | 26.5 | 12.0 | 2.7 | 1.4 | 1.4 | 0.1 | 2.2 | 10.7 | 4.7 | - | - | - | 44.6 | 37.5 | 68.8 | - | 53.4 | 52.2 |
D. Gaston
|
F | 23 | 25.7 | 11.6 | 5.9 | 1.0 | 1.0 | 1.2 | 1.6 | 9.6 | 9.5 | - | - | - | 49.1 | 0.0 | 69.9 | - | 53.0 | 49.1 |
R. Harmon
|
G | 21 | 36.9 | 10.6 | 5.0 | 7.3 | 2.3 | 0.3 | 3.0 | 12.6 | 10.0 | - | - | - | 33.3 | 17.1 | 55.4 | - | 37.6 | 34.5 |
T. Jones
|
F | 21 | 20.4 | 10.0 | 6.2 | 0.2 | 0.5 | 2.4 | 1.2 | 6.8 | 11.3 | - | - | - | 57.3 | 0 | 65.2 | - | 60.3 | 57.3 |
A. Moore
|
F | 5 | 20.2 | 9.6 | 4.0 | 1.8 | 0.6 | 0.0 | 2.8 | 6.0 | 7.2 | - | - | - | 56.7 | 0.0 | 63.6 | - | 60.5 | 56.7 |
S. Holle
|
G | 23 | 27.7 | 5.6 | 1.7 | 1.7 | 1.1 | 0.4 | 1.6 | 5.2 | 3.7 | - | - | - | 41.2 | 38.6 | 56.2 | - | 51.2 | 50.4 |
K. Faye
|
F | 23 | 13.0 | 4.3 | 4.0 | 0.3 | 0.8 | 0.8 | 1.0 | 3.4 | 5.8 | - | - | - | 46.2 | 0 | 68.4 | - | 51.7 | 46.2 |
N. Mwenentanda
|
G | 20 | 11.3 | 4.0 | 1.9 | 0.2 | 0.5 | 0.2 | 1.2 | 3.6 | 1.9 | - | - | - | 33.3 | 33.3 | 77.8 | - | 45.0 | 35.4 |
A. Muhammad
|
F | 23 | 17.6 | 3.1 | 4.3 | 0.8 | 0.7 | 0.3 | 1.5 | 2.9 | 4.8 | - | - | - | 42.4 | 0 | 48.4 | - | 44.6 | 42.4 |
A. Gutierrez
|
G | 6 | 1.3 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.3 | 0.5 | -0.7 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
F. Masudi
|
C | 6 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
S. Graves
|
G | 1 | 1.0 | 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
Not enough players with both Numbers/Game and RAPM to plot.
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