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UT Rio Grande Valley Vaqueros

Also known as: UT Rio Grande Valley Vaqueros
Program History

2013 Team Stats (2 games)

63.5
PPG
67.3
Opp
-1.6
Margin
43.6%
FG%
34.1%
3P%
58.1%
FT%
32.0
RPG
11.0
APG
15.5
TO
75.5
Pace

Model Outputs

2012-2013
Catalog

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 → 1123 (#261) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#299) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 948 (#493) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +14.2 (#356) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -3.0 (#361) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.5 More → 0.455 (#108) NetEff -1.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.2 | AdjD 61.7 More → 0.488 (#252) AdjO 61.2 | AdjD 61.7
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.429 (#336) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.430 (#329) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 33 More → 950 (#260) RD 132 | GP 33

2013 Schedule & Results

2013 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%
B. Provost B. Provost G 31 34.0 15.0 4.2 2.2 1.0 0.3 2.0 2.0 18.7 -19 -0.6 -0.8 40.3 40.8 82.6 -0.15 321.7 56.5
A. Urbanus A. Urbanus G 32 31.6 10.7 3.1 3.8 1.1 0.1 2.7 1.9 14.1 52 1.6 2.3 33.9 34.2 64.3 0.47 250.1 44.4
J. Delgado J. Delgado F 32 27.7 9.9 3.3 2.0 1.1 0.1 1.7 1.3 13.4 -9 -0.3 -0.5 51.2 0.0 73.1 -0.14 301.3 51.2
J. Leathers J. Leathers F 32 22.5 7.3 4.6 1.0 1.0 0.3 1.8 1.4 11.1 41 1.2 2.5 47.7 50.0 66.7 0.71 237.4 50.0
R. Cabrera R. Cabrera C 32 14.2 5.9 2.8 0.3 0.1 0.1 1.2 1.4 6.5 -44 -1.4 -3.4 44.4 33.3 25.0 -0.82 194.8 47.8
J. Cleveland J. Cleveland F 28 11.7 4.0 2.3 0.2 0.2 0.2 0.7 0.9 5.4 -62 -2.2 -5.6 44.0 0 26.3 -0.48 166.4 44.0
S. Hines S. Hines F 31 14.9 4.0 2.8 0.4 0.6 0.7 0.9 0.9 6.7 -84 -2.7 -6.3 55.6 0 42.9 -0.96 206.1 55.6
L. Toivonen L. Toivonen F 32 19.6 3.6 3.4 1.0 0.7 0.1 0.8 0.6 7.4 -2 -0.1 -0.2 44.4 0.0 87.5 -0.04 269.5 44.4
N. Espericueta N. Espericueta - 2 5.0 3.0 2.5 0.0 0.0 0.0 0.0 1.5 4.0 13 2.6 15.8 33.3 0 0 0.21 100.0 33.3
H. Johnson H. Johnson G 29 10.2 2.8 0.8 0.3 0.3 0.0 0.9 0.9 2.4 -103 -3.6 -11.3 42.3 41.2 25.0 -0.87 144.1 55.8
J. Dantzler J. Dantzler G 32 12.2 2.5 1.8 0.5 0.4 0.1 0.6 0.8 4.0 -47 -1.5 -3.4 52.0 40.0 71.4 -0.85 144.2 60.0
D. Nash D. Nash G 29 10.8 1.3 0.5 1.4 0.4 0.0 1.2 0.6 1.9 -104 -3.6 -10.6 23.5 50.0 50.0 -1.4 109.1 35.3

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