UT Rio Grande Valley Vaqueros
2026 Team Stats (29 games)
77.6
PPG
70.3
Opp
+6.8
Margin
47.8%
FG%
38.2%
3P%
76.3%
FT%
35.0
RPG
16.9
APG
11.8
TO
76.9
Pace
74.1
AdjO
72.8
AdjD
#142
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 → | 1141 (#73) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 988 (#192) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1040 (#121) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.3 (#137) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.4 (#101) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.620 (#102) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.506 (#171) | NetEff +0.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.552 (#142) | AdjNet +1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.553 (#142) | AdjNet +1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.529 (#142) | AdjO 74.1 | AdjD 72.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.670 (#54) | AdjO 77.5 | AdjD 69.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.799 (#127) | 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 → | 0.775 (#118) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1058 (#187) | RD 139 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Cotton
|
G | 29 | 27.1 | 14.2 | 5.2 | 2.4 | 1.1 | 1.0 | 2.4 | 9.9 | 11.7 | 114 | 5.2 | 9.5 | 47.4 | 41.7 | 78.8 | 0.57 | 61.0 | 56.1 |
Filip Brankovic
|
- | 28 | 24.6 | 14.1 | 4.5 | 2.0 | 0.3 | 0.4 | 1.4 | 10.1 | 9.7 | 61 | 2.9 | 5.8 | 54.2 | 35.5 | 84.1 | 0.35 | 63.2 | 60.0 |
M. McGhee III
|
G | 29 | 30.1 | 11.1 | 5.3 | 0.9 | 0.7 | 0.0 | 0.5 | 8.1 | 9.3 | 63 | 2.9 | 6.8 | 44.7 | 43.3 | 87.0 | 0.65 | 62.9 | 59.8 |
Jaylen Washington
|
G | 29 | 26.9 | 10.5 | 2.2 | 4.4 | 1.2 | 0.1 | 1.4 | 7.5 | 9.5 | 32 | 1.5 | 2.9 | 53.7 | 32.6 | 83.3 | 0.09 | 61.5 | 57.1 |
K. Dickson
|
- | 6 | 18.2 | 9.2 | 3.7 | 0.3 | 0.5 | 0.3 | 1.0 | 6.0 | 7.0 | 4 | 0.7 | 1.7 | 52.8 | 41.7 | 60.0 | -0.15 | 61.4 | 59.7 |
Julien Gomez
|
- | 29 | 22.8 | 7.6 | 3.1 | 1.7 | 0.7 | 0.0 | 0.9 | 5.2 | 7.1 | 66 | 3.0 | 6.6 | 48.3 | 44.2 | 78.8 | -0.04 | 63.5 | 59.6 |
Z. Blake
|
- | 26 | 17.8 | 4.4 | 2.5 | 1.4 | 0.5 | 0.1 | 0.9 | 4.5 | 3.5 | 20 | 0.9 | 2.2 | 34.5 | 27.9 | 76.2 | -0.27 | 45.9 | 42.7 |
Dane Christensen
|
- | 24 | 13.6 | 4.2 | 2.8 | 0.9 | 0.4 | 0.1 | 0.5 | 3.3 | 4.4 | 12 | 0.8 | 3.3 | 43.0 | 38.1 | 59.3 | -1.06 | 55.0 | 53.2 |
K. Agwa
|
F | 26 | 11.2 | 3.8 | 2.0 | 0.9 | 0.5 | 0.6 | 0.5 | 2.5 | 4.8 | 9 | 0.5 | 2.1 | 65.2 | 71.4 | 47.1 | -0.11 | 67.4 | 68.9 |
Mustafo Vanjov
|
- | 3 | 8.3 | 3.0 | 1.3 | 0.3 | 0.3 | 0.0 | 0.3 | 1.3 | 3.3 | 30 | 15.0 | 441.7 | 100.0 | 0 | 50.0 | -0.01 | 92.2 | 100.0 |
A. Wright
|
- | 29 | 15.0 | 2.7 | 1.5 | 1.8 | 0.4 | 0.1 | 1.3 | 2.8 | 2.4 | 36 | 1.6 | 5.0 | 38.3 | 25.0 | 58.8 | 0.32 | 44.6 | 42.6 |
M. Destremau
|
F | 19 | 6.8 | 2.5 | 1.7 | 0.3 | 0.3 | 0.2 | 0.6 | 1.9 | 2.4 | 45 | 2.5 | 17.3 | 37.8 | 38.5 | 70.0 | -0.06 | 51.3 | 44.6 |
Demarris Winters
|
- | 19 | 7.1 | 2.4 | 0.7 | 0.5 | 0.2 | 0.0 | 0.2 | 1.8 | 1.8 | -48 | -4.4 | -44.7 | 47.1 | 40.0 | 60.0 | -0.52 | 62.2 | 61.8 |
J. Ricks
|
- | 19 | 8.4 | 2.3 | 1.5 | 0.5 | 0.2 | 0.3 | 0.4 | 2.4 | 2.1 | -58 | -4.1 | -20.7 | 28.3 | 23.5 | 76.9 | -0.42 | 42.5 | 37.0 |
Luis Ramirez
|
- | 3 | 3.3 | 1.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 1.0 | 1.7 | 17 | 5.7 | 297.8 | 66.7 | 50.0 | 0 | -0.0 | 83.3 | 83.3 |
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