Texas Longhorns
2025 Team Stats (38 games)
78.4
PPG
56.2
Opp
+21.6
Margin
46.2%
FG%
29.9%
3P%
75.6%
FT%
39.7
RPG
16.2
APG
13.1
TO
86.4
Pace
84.6
AdjO
45.2
AdjD
#3
Rank
Model Outputs
2024-2025
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 → | 1512 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1538 (#4) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.6 (#3) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.977 (#2) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.972 (#3) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#3) | AdjNet +57.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#3) | AdjNet +58.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.973 (#3) | AdjO 84.6 | AdjD 45.2 |
2025 Schedule & Results
2025 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 | 38 | 31.3 | 16.3 | 6.6 | 2.7 | 1.6 | 0.5 | 2.1 | 13.7 | 11.9 | 138 | 3.8 | 4.3 | 46.4 | 40.3 | 82.8 | 1.74 | 53.5 | 48.8 |
T. Jones
|
F | 38 | 21.8 | 11.9 | 6.9 | 0.4 | 0.8 | 1.9 | 1.3 | 7.9 | 12.8 | 106 | 2.6 | 4.3 | 58.3 | 0 | 77.4 | 1.31 | 63.2 | 58.3 |
R. Harmon
|
G | 39 | 29.9 | 9.3 | 3.5 | 5.9 | 2.2 | 0.1 | 1.9 | 9.9 | 9.1 | 103 | 2.7 | 3.2 | 37.3 | 28.2 | 74.4 | 1.09 | 42.8 | 38.7 |
K. Oldacre
|
C | 39 | 17.5 | 8.8 | 5.9 | 0.5 | 0.9 | 0.9 | 1.1 | 5.0 | 10.9 | 87 | 2.0 | 4.6 | 59.2 | 0 | 69.3 | 1.46 | 64.4 | 59.2 |
A. Moore
|
F | 19 | 19.6 | 7.9 | 4.6 | 0.7 | 1.1 | 0.3 | 1.4 | 5.9 | 7.3 | 57 | 1.8 | 3.2 | 47.3 | 0.0 | 71.4 | 0.82 | 54.0 | 47.3 |
S. Holle
|
G | 39 | 25.8 | 6.2 | 2.2 | 1.6 | 1.0 | 0.6 | 1.0 | 6.0 | 4.6 | 165 | 4.0 | 5.6 | 37.8 | 27.1 | 75.0 | 2.49 | 47.7 | 44.6 |
L. Phelia
|
G | 8 | 19.4 | 6.1 | 2.1 | 1.0 | 1.1 | 0.0 | 1.2 | 4.6 | 4.5 | 9 | 1.0 | 2.4 | 40.5 | 12.5 | 89.5 | -0.21 | 54.0 | 43.2 |
J. Lee
|
G | 39 | 19.7 | 5.8 | 1.5 | 1.2 | 0.6 | 0.2 | 0.9 | 5.2 | 3.2 | 79 | 2.8 | 3.8 | 40.8 | 39.3 | 70.0 | 1.03 | 53.0 | 51.2 |
N. Mwenentanda
|
G | 37 | 17.1 | 5.6 | 2.9 | 0.9 | 0.7 | 0.6 | 1.5 | 4.8 | 4.5 | 44 | 1.2 | 2.6 | 46.1 | 5.6 | 76.8 | 0.41 | 51.3 | 46.3 |
J. Carlton
|
F | 34 | 11.0 | 5.0 | 2.6 | 0.4 | 0.6 | 0.4 | 0.9 | 4.2 | 3.9 | 12 | 0.4 | 1.2 | 49.3 | 25.0 | 78.8 | 0.08 | 53.9 | 50.3 |
B. Preston
|
G | 39 | 12.8 | 4.4 | 1.2 | 1.9 | 0.9 | 0.1 | 1.0 | 3.4 | 4.1 | 85 | 2.2 | 6.3 | 47.4 | 20.0 | 74.6 | 1.16 | 54.4 | 48.5 |
J. Codio
|
G | 24 | 5.0 | 1.4 | 0.6 | 0.2 | 0.3 | 0.0 | 0.3 | 1.5 | 0.8 | 31 | 1.3 | 10.8 | 38.9 | 33.3 | 66.7 | -0.41 | 44.2 | 43.1 |
S. Graves
|
G | 9 | 2.7 | 0.2 | 0.1 | 0.2 | 0.2 | 0.0 | 0.0 | 1.0 | -0.2 | 3 | 0.3 | 5.1 | 0.0 | 0.0 | 100.0 | -1.28 | 10.1 | 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