UTSA Roadrunners
2024 Team Stats (32 games)
77.6
PPG
81.0
Opp
-3.4
Margin
41.0%
FG%
33.7%
3P%
71.0%
FT%
40.3
RPG
13.9
APG
11.3
TO
84.6
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 → | 854 (#569) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 972 (#343) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.7 (#289) | HCA +2.7 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.341 (#269) | NetEff -6.2 |
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. Ivy-Curry
|
- | 21 | 27.3 | 17.1 | 5.2 | 3.0 | 0.9 | 0.2 | 2.3 | 13.8 | 10.3 | 15 | 1.7 | 10.5 | 40.1 | 38.7 | 79.6 | 0.1 | 53.8 | 48.1 |
C. Tucker
|
- | 32 | 33.5 | 11.3 | 2.9 | 5.4 | 1.1 | 0.3 | 2.1 | 7.8 | 11.2 | 22 | 2.2 | 4.4 | 41.0 | 30.4 | 87.5 | 0.3 | 57.8 | 47.2 |
PJ Carter
|
G | 31 | 19.8 | 9.5 | 2.4 | 0.9 | 0.5 | 0.2 | 0.9 | 7.9 | 4.7 | 18 | 1.4 | 15.5 | 41.5 | 40.3 | 81.6 | 0.23 | 55.3 | 52.0 |
Fuller Jr., Dre
|
- | 32 | 22.6 | 9.3 | 4.4 | 1.1 | 0.6 | 0.5 | 1.4 | 9.0 | 5.5 | - | - | - | 36.7 | 31.1 | 68.4 | - | 47.4 | 44.8 |
C. Linguard Jr.
|
- | 32 | 25.3 | 9.3 | 6.2 | 0.8 | 0.2 | 1.5 | 0.8 | 8.2 | 9.0 | 57 | 4.8 | 7.0 | 41.8 | 30.6 | 79.2 | -0.07 | 52.4 | 49.0 |
A. Holiman
|
G | 20 | 21.6 | 7.5 | 1.7 | 2.0 | 0.7 | 0.1 | 1.1 | 7.5 | 3.4 | -14 | -3.5 | -16.9 | 31.5 | 30.5 | 74.3 | -0.0 | 45.3 | 41.3 |
I. Wyatt
|
- | 32 | 20.4 | 7.1 | 3.4 | 1.3 | 0.6 | 0.1 | 0.7 | 6.0 | 5.8 | 2 | 0.3 | 1.6 | 38.3 | 36.1 | 75.0 | 0.07 | 53.7 | 50.8 |
T. Edmonds
|
- | 32 | 22.2 | 7.0 | 5.8 | 0.3 | 0.4 | 0.4 | 1.2 | 4.8 | 7.9 | 5 | 0.7 | 5.4 | 55.9 | 0 | 45.5 | 0.18 | 54.8 | 55.9 |
C. Cuthrell
|
- | 31 | 15.3 | 4.9 | 4.4 | 0.5 | 0.4 | 0.4 | 0.8 | 3.8 | 6.1 | 9 | 1.3 | 4.7 | 39.3 | 33.3 | 65.7 | 0.24 | 51.9 | 46.2 |
M. Diouf
|
F | 32 | 11.2 | 2.9 | 2.8 | 0.3 | 0.2 | 0.6 | 0.5 | 2.1 | 4.1 | 5 | 0.7 | 7.8 | 63.2 | 0 | 35.0 | -0.19 | 60.5 | 63.2 |
Nazar Mahmoud
|
G | 14 | 5.6 | 1.8 | 0.8 | 0.2 | 0.1 | 0.0 | 0.2 | 1.9 | 0.7 | -2 | -1.0 | -42.5 | 25.9 | 19.0 | 58.3 | -0.01 | 38.7 | 33.3 |
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