UTSA Roadrunners
2025 Team Stats (3 games)
66.0
PPG
57.7
Opp
+8.3
Margin
40.9%
FG%
18.5%
3P%
78.3%
FT%
41.3
RPG
15.0
APG
18.3
TO
87.1
Pace
66.4
AdjO
56.6
AdjD
#83
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 → | 1303 (#24) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1246 (#55) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.4 (#79) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.858 (#51) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.858 (#49) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.875 (#78) | AdjNet +16.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.876 (#78) | AdjNet +16.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.709 (#83) | AdjO 66.4 | AdjD 56.6 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-02-04 | vs | North Texas Mean Green | W | 54 - 52 |
| 2025-02-25 | @ | Tulane Green Wave | W | 77 - 73 |
| 2025-03-04 | @ | East Carolina Pirates | W | 67 - 48 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Jenkins
|
F | 3 | 33.3 | 25.3 | 8.0 | 1.3 | 1.7 | 1.7 | 0.7 | 17.0 | 20.3 | 19 | 0.6 | 0.7 | 56.9 | 33.3 | 83.3 | 0.89 | 64.5 | 59.8 |
I. Udo
|
F | 3 | 29.3 | 11.3 | 9.7 | 1.7 | 0.3 | 0.7 | 1.7 | 10.7 | 11.3 | 41 | 1.3 | 1.8 | 43.8 | 0.0 | 66.7 | 0.9 | 47.3 | 43.8 |
S. Love
|
G | 3 | 30.3 | 9.0 | 4.0 | 4.0 | 1.7 | 0.7 | 3.7 | 10.7 | 5.0 | 3 | 0.1 | 0.1 | 34.4 | 0.0 | 100.0 | 0.82 | 39.5 | 34.4 |
A. Proctor
|
G | 3 | 20.7 | 7.0 | 1.7 | 1.0 | 0.3 | 0.7 | 1.0 | 7.0 | 2.7 | -11 | -0.6 | -1.2 | 42.9 | 22.2 | 100.0 | 0.05 | 49.0 | 47.6 |
N. De Leon Negron
|
G | 3 | 33.3 | 6.7 | 4.0 | 4.7 | 1.7 | 0.0 | 4.7 | 7.7 | 4.7 | 27 | 0.9 | 1.0 | 30.4 | 25.0 | 50.0 | 0.81 | 40.4 | 39.1 |
C. Rowe
|
F | 3 | 11.3 | 2.3 | 3.0 | 0.7 | 0.0 | 0.3 | 2.3 | 2.0 | 2.0 | 10 | 0.4 | 1.3 | 33.3 | 0.0 | 75.0 | -0.03 | 45.1 | 33.3 |
M. Linton
|
G | 3 | 24.3 | 2.0 | 3.7 | 1.0 | 2.7 | 0.3 | 0.7 | 3.7 | 5.3 | 18 | 0.6 | 0.9 | 18.2 | 0.0 | 100.0 | 0.62 | 25.3 | 18.2 |
M. Hammonds
|
G | 1 | 9.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 2.0 | -1 | -0.1 | -0.3 | 100.0 | 0 | 0 | -0.46 | 100.0 | 100.0 |
D. Allen
|
G | 3 | 8.0 | 1.3 | 1.7 | 0.3 | 0.0 | 0.0 | 0.7 | 2.0 | 0.7 | -14 | -0.5 | -1.3 | 16.7 | 33.3 | 50.0 | 0.07 | 29.1 | 25.0 |
E. Dannebauer
|
F | 1 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1 | 0.1 | 1.9 | 0 | 0 | 100.0 | -1.34 | 113.6 | 0 |
A. Parker
|
G | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | 6 | 0.3 | 1.2 | 0.0 | 0 | 0 | -0.18 | 0.0 | 0.0 |
T. Ross
|
F | 2 | 5.5 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 1.5 | 1.0 | -1.5 | 8 | 0.3 | 1.7 | 0.0 | 0.0 | 0 | -0.17 | 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