UTSA Roadrunners
2026 Team Stats (32 games)
59.1
PPG
59.0
Opp
+0.1
Margin
39.4%
FG%
29.2%
3P%
69.7%
FT%
39.6
RPG
13.0
APG
18.6
TO
81.2
Pace
60.8
AdjO
56.0
AdjD
#113
Rank
Model Outputs
2025-2026
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 → | 1217 (#53) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1052 (#143) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1104 (#61) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.9 (#112) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.3 (#89) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.488 (#173) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.500 (#174) | NetEff +0.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.720 (#111) | AdjNet +8.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.728 (#112) | AdjNet +8.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.607 (#113) | AdjO 60.8 | AdjD 56.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.635 (#108) | AdjO 59.7 | AdjD 53.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.858 (#103) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.836 (#99) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1141 (#106) | RD 106 | GP 32 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Rowe
|
F | 31 | 33.1 | 14.3 | 8.5 | 1.0 | 0.6 | 0.9 | 2.0 | 12.9 | 10.4 | 33 | 1.5 | 1.8 | 45.1 | 27.3 | 74.2 | -0.28 | 50.1 | 46.6 |
E. Hardaway
|
PG | 31 | 31.9 | 11.6 | 3.9 | 4.5 | 1.6 | 0.0 | 3.1 | 9.2 | 9.3 | 31 | 1.6 | 1.7 | 42.3 | 42.9 | 72.9 | 1.63 | 53.9 | 49.1 |
I. Udo
|
F | 25 | 24.8 | 9.2 | 7.3 | 1.0 | 0.8 | 0.8 | 2.6 | 8.2 | 8.2 | 31 | 2.2 | 4.1 | 42.7 | 16.7 | 67.1 | -0.09 | 47.8 | 43.0 |
D. Allen
|
G | 32 | 27.8 | 7.9 | 4.5 | 1.8 | 0.8 | 0.1 | 2.6 | 8.0 | 4.5 | 74 | 3.1 | 8.3 | 35.2 | 30.2 | 73.6 | 2.64 | 45.5 | 42.0 |
M. Hammonds
|
G | 32 | 26.5 | 6.6 | 4.9 | 1.3 | 1.2 | 0.8 | 2.6 | 6.1 | 6.2 | 43 | 2.0 | 3.1 | 41.2 | 17.6 | 63.9 | -0.08 | 47.0 | 42.8 |
A. Robles
|
PG | 32 | 21.7 | 4.8 | 2.5 | 2.0 | 1.0 | 0.0 | 2.1 | 4.8 | 3.4 | 244 | 10.2 | 13.8 | 34.8 | 24.6 | 59.6 | 2.56 | 43.0 | 39.4 |
J. Holiman
|
PG | 32 | 17.2 | 3.8 | 2.1 | 0.8 | 0.6 | 0.2 | 1.1 | 4.5 | 1.9 | 44 | 2.0 | 4.0 | 29.9 | 27.7 | 66.7 | 0.92 | 40.5 | 38.9 |
E. Dannebauer
|
F | 31 | 12.4 | 2.1 | 1.9 | 0.5 | 0.6 | 0.2 | 0.8 | 2.3 | 2.1 | 34 | 1.6 | 3.2 | 31.0 | 0.0 | 75.0 | 2.76 | 39.0 | 31.0 |
S. Bean
|
F | 32 | 9.0 | 1.3 | 1.4 | 0.3 | 0.2 | 0.5 | 1.0 | 1.2 | 1.6 | -1 | -0.0 | -0.2 | 44.7 | 0 | 80.0 | -0.65 | 49.5 | 44.7 |
S. Guttadauro
|
G | 13 | 7.8 | 0.9 | 0.5 | 0.5 | 0.3 | 0.2 | 0.5 | 1.9 | 0.0 | -42 | -4.7 | -14.2 | 16.0 | 15.0 | 50.0 | -3.51 | 23.2 | 22.0 |
N. Gony
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Linton
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
T. Ross
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -23 | -1.6 | -4.7 | - | - | - | -3.29 | - | - |
Sema Udo
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Saher Alizada
|
PG | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Han
|
G | 2 | 3.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | 0.33 | 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