UT Rio Grande Valley Vaqueros
2026 Team Stats (34 games)
66.2
PPG
65.5
Opp
+0.7
Margin
40.7%
FG%
32.5%
3P%
74.2%
FT%
41.9
RPG
14.7
APG
16.1
TO
81.6
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1044 (#136) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.7 (#215) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.545 (#176) | AdjO 65.2 | AdjD 63.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.706 (#195) | 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 → | 0.683 (#193) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1083 (#151) | RD 106 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Ingram
|
G | 32 | 34.4 | 17.0 | 7.2 | 4.1 | 1.4 | 1.0 | 3.0 | 13.6 | 14.1 | 18 | 0.9 | 1.1 | 40.4 | 16.1 | 80.3 | -0.39 | 50.5 | 40.9 |
C. O'Keefe
|
F | 28 | 36.0 | 12.5 | 13.8 | 2.8 | 1.3 | 1.6 | 2.3 | 9.7 | 19.9 | 89 | 5.2 | 6.4 | 48.2 | 38.1 | 70.0 | 5.93 | 56.0 | 52.6 |
C. Dettor
|
F | 34 | 24.8 | 10.0 | 5.3 | 1.2 | 0.4 | 0.2 | 2.4 | 8.7 | 5.9 | -44 | -1.9 | -3.6 | 42.2 | 25.6 | 75.2 | -0.34 | 49.5 | 43.9 |
E. Maguire
|
G | 32 | 32.8 | 8.3 | 2.8 | 3.2 | 1.1 | 0.2 | 2.8 | 9.3 | 3.4 | 27 | 1.3 | 1.8 | 35.0 | 22.9 | 80.5 | 0.33 | 42.1 | 39.1 |
G. Angiolet
|
G | 29 | 26.8 | 6.9 | 2.0 | 1.4 | 0.5 | 0.1 | 1.4 | 7.0 | 2.5 | 9 | 0.5 | 1.0 | 35.5 | 36.1 | 64.0 | 1.92 | 46.5 | 45.1 |
K. Lorenz
|
G | 31 | 16.2 | 5.9 | 1.5 | 0.7 | 0.4 | 0.2 | 0.8 | 4.7 | 3.0 | -48 | -2.1 | -5.2 | 40.1 | 40.7 | 94.1 | 0.97 | 58.9 | 56.5 |
I. Brown
|
F | 32 | 18.4 | 5.2 | 3.1 | 1.6 | 0.6 | 0.2 | 2.1 | 3.4 | 5.2 | -10 | -5.0 | -38.1 | 50.9 | 37.9 | 63.4 | -0.29 | 59.6 | 56.0 |
E. Romer
|
G | 6 | 13.3 | 5.0 | 0.8 | 0.5 | 0.2 | 0.3 | 0.5 | 4.2 | 2.2 | -9 | -1.3 | -3.9 | 44.0 | 35.0 | 50.0 | 1.44 | 58.0 | 58.0 |
R. Whitehair
|
F | 24 | 6.7 | 2.9 | 2.2 | 0.1 | 0.0 | 0.1 | 0.5 | 2.7 | 2.1 | -20 | -1.2 | -5.9 | 35.4 | 31.0 | 73.7 | -1.79 | 47.0 | 42.3 |
M. Huhn
|
G | 33 | 15.0 | 2.0 | 1.3 | 0.4 | 0.2 | 0.0 | 0.4 | 1.8 | 1.6 | -3 | -0.1 | -0.3 | 39.0 | 38.0 | 0 | -0.0 | 55.1 | 55.1 |
E. Horne
|
F | 24 | 7.0 | 1.2 | 1.9 | 0.2 | 0.2 | 0.0 | 0.6 | 0.9 | 2.0 | -83 | -4.2 | -24.1 | 52.4 | 0 | 38.9 | -2.9 | 50.1 | 52.4 |
S. Zufelt
|
G | 18 | 4.7 | 0.8 | 0.8 | 0.6 | 0.1 | 0.1 | 0.5 | 1.1 | 0.7 | -15 | -0.9 | -12.0 | 21.1 | 13.3 | 66.7 | -0.13 | 32.3 | 26.3 |
Mataya Hall
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
N. Feller
|
F | 9 | 1.9 | 0.0 | 0.2 | 0.1 | 0.0 | 0.0 | 0.3 | 0.2 | -0.2 | -21 | -2.6 | -62.2 | 0.0 | 0.0 | 0 | -3.02 | 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