🐻⬇️🏀

UTSA Roadrunners

Also known as: UTSA Roadrunners
Program History

2025 Team Stats (3 games)

66.0
PPG
57.7
Opp
+8.3
Margin
40.9%
FG%
18.5%
3P%
78.3%
FT%
41.3
RPG
15.0
APG
18.3
TO
87.1
Pace
66.4
AdjO
56.6
AdjD
#83
Rank

Model Outputs

2024-2025
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 → 1303 (#24) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1246 (#55) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +10.4 (#79) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.858 (#51) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → 0.858 (#49) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.9 More → 0.875 (#78) AdjNet +16.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.8 More → 0.876 (#78) AdjNet +16.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.4 | AdjD 56.6 More → 0.709 (#83) AdjO 66.4 | AdjD 56.6

2025 Schedule & Results

Date Vs/At Opponent Result Score
2025-02-04 vs North Texas Mean Green W 54 - 52
2025-02-25 @ Tulane Green Wave W 77 - 73
2025-03-04 @ East Carolina Pirates W 67 - 48

2025 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. Jenkins J. Jenkins F 3 33.3 25.3 8.0 1.3 1.7 1.7 0.7 17.0 20.3 19 0.6 0.7 56.9 33.3 83.3 0.89 64.5 59.8
I. Udo I. Udo F 3 29.3 11.3 9.7 1.7 0.3 0.7 1.7 10.7 11.3 41 1.3 1.8 43.8 0.0 66.7 0.9 47.3 43.8
S. Love S. Love G 3 30.3 9.0 4.0 4.0 1.7 0.7 3.7 10.7 5.0 3 0.1 0.1 34.4 0.0 100.0 0.82 39.5 34.4
A. Proctor A. Proctor G 3 20.7 7.0 1.7 1.0 0.3 0.7 1.0 7.0 2.7 -11 -0.6 -1.2 42.9 22.2 100.0 0.05 49.0 47.6
N. De Leon Negron N. De Leon Negron G 3 33.3 6.7 4.0 4.7 1.7 0.0 4.7 7.7 4.7 27 0.9 1.0 30.4 25.0 50.0 0.81 40.4 39.1
C. Rowe C. Rowe F 3 11.3 2.3 3.0 0.7 0.0 0.3 2.3 2.0 2.0 10 0.4 1.3 33.3 0.0 75.0 -0.03 45.1 33.3
M. Linton M. Linton G 3 24.3 2.0 3.7 1.0 2.7 0.3 0.7 3.7 5.3 18 0.6 0.9 18.2 0.0 100.0 0.62 25.3 18.2
M. Hammonds M. Hammonds G 1 9.0 2.0 2.0 0.0 0.0 0.0 1.0 1.0 2.0 -1 -0.1 -0.3 100.0 0 0 -0.46 100.0 100.0
D. Allen D. Allen G 3 8.0 1.3 1.7 0.3 0.0 0.0 0.7 2.0 0.7 -14 -0.5 -1.3 16.7 33.3 50.0 0.07 29.1 25.0
E. Dannebauer E. Dannebauer F 1 4.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 1 0.1 1.9 0 0 100.0 -1.34 113.6 0
A. Parker A. Parker G 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 6 0.3 1.2 0.0 0 0 -0.18 0.0 0.0
T. Ross T. Ross F 2 5.5 0.0 0.5 0.5 0.0 0.0 1.5 1.0 -1.5 8 0.3 1.7 0.0 0.0 0 -0.17 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