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UTSA Roadrunners

Also known as: UTSA Roadrunners
Program History

2023 Team Stats (19 games)

70.3
PPG
77.8
Opp
-8.2
Margin
42.0%
FG%
32.7%
3P%
73.9%
FT%
35.0
RPG
9.4
APG
13.5
TO
79.6
Pace

Model Outputs

2022-2023
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 → 871 (#660) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1001 (#316) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +16.8 (#301) HCA +2.8
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -11.1 More → 0.227 (#316) NetEff -11.1

2023 Schedule & Results

Date Vs/At Opponent Result Score
2022-11-11 @ Texas A&M-Corpus Christi Islanders L 55 - 75
2022-11-22 vs Prairie View A&M Panthers W 82 - 75
2022-11-27 vs Dartmouth Big Green L 77 - 78
2023-01-05 vs Middle Tennessee Blue Raiders W 75 - 72
2023-01-07 vs Western Kentucky Hilltoppers L 64 - 74
2023-01-11 @ UTEP Miners L 57 - 69
2023-01-14 @ Charlotte 49ers L 54 - 72
2023-01-16 vs Rice Owls L 81 - 88
2023-01-19 vs Florida Atlantic Owls L 64 - 83
2023-01-21 vs Florida International Panthers L 72 - 77
2023-01-26 @ North Texas Mean Green L 59 - 63
2023-01-28 vs Louisiana Tech Bulldogs L 55 - 66
2023-02-02 @ Western Kentucky Hilltoppers L 74 - 81
2023-02-04 @ Middle Tennessee Blue Raiders L 60 - 84
2023-02-16 @ Rice Owls W 84 - 79
2023-02-23 @ Florida Atlantic Owls L 66 - 106
2023-02-25 @ Florida International Panthers W 95 - 91
2023-03-02 vs Charlotte 49ers W 78 - 73
2023-03-08 @ Rice Owls L 71 - 72

2023 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. Germany J. Germany - 17 27.7 13.6 9.2 1.1 0.5 0.8 2.5 9.7 12.9 - - - 44.8 0.0 77.4 - 60.3 44.8
J. Medor J. Medor G 16 31.0 13.5 3.1 3.5 1.2 0.2 3.1 9.4 8.9 - - - 39.7 22.2 71.2 - 54.0 41.7
DJ Richards DJ Richards G 19 28.7 11.3 5.2 0.8 0.4 0.1 1.3 9.1 7.4 75 7.5 14.7 35.5 31.4 72.3 1.27 55.8 44.8
J. Buggs III J. Buggs III G 19 31.2 11.2 1.8 1.1 0.3 0.1 1.4 8.8 4.2 - - - 40.7 39.8 80.8 -0.71 59.4 54.2
I. Addo-Ankrah I. Addo-Ankrah G 13 22.1 7.6 3.2 0.7 0.2 0.2 0.8 4.2 6.9 - - - 47.3 39.5 92.9 - 80.9 62.7
C. Tucker C. Tucker - 17 18.3 5.9 1.9 1.6 0.6 0.2 1.2 3.9 5.1 - - - 50.0 33.3 78.8 - 62.7 54.5
J. Farmer J. Farmer F 19 16.7 4.5 3.3 0.4 0.4 0.4 1.3 3.3 4.5 - - - 53.2 36.4 73.3 - 62.0 56.5
L. Sabally L. Sabally F 10 10.4 3.5 2.2 0.1 0.5 0.1 0.4 2.5 3.5 -53 -4.1 -5.9 44.0 25.0 66.7 0.18 57.8 46.0
E. Czumbel E. Czumbel - 18 14.9 2.6 1.4 0.8 0.3 0.0 1.1 1.9 2.0 - - - 31.4 15.8 53.3 - 55.3 35.7
A. Aleu A. Aleu - 13 12.4 2.5 2.1 0.6 0.2 0.1 0.8 2.4 2.2 - - - 35.5 9.1 66.7 - 45.8 37.1
L. Bofinger L. Bofinger - 10 9.7 1.8 1.7 0.5 0.2 0.3 0.3 1.4 2.8 - - - 42.9 0 66.7 - 58.7 42.9
M. Diouf M. Diouf F 17 10.9 1.7 2.5 0.1 0.2 0.2 0.5 1.4 2.8 - - - 43.5 0 75.0 - 51.3 43.5
A. Johnson A. Johnson G 4 3.8 0.8 0.0 0.2 0.0 0.0 0.2 0.8 0.0 3 0.2 0.3 33.3 33.3 0 0.99 50.0 50.0

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