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UTSA Roadrunners

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: UTSA Roadrunners
Program History
Coach: Steve Henson

2022 Team Stats (2 games)

61.0
PPG
72.8
Opp
-7.2
Margin
37.8%
FG%
21.3%
3P%
64.0%
FT%
37.0
RPG
12.0
APG
14.5
TO
83.5
Pace

Model Outputs

2021-2022
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 → 891 (#684) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1006 (#322) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +115 elo More → 907 (#602) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +15.4 (#316) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → +4.1 (#293) HCA +2.4
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -15.3 More → 0.129 (#259) NetEff -15.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 70.3 More → 0.413 (#544) AdjO 66.5 | AdjD 70.3
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 → 0.474 (#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 → 0.449 (#344) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 145 | GP 28 More → 883 (#515) RD 145 | GP 28

2022 Schedule & Results

Date Vs/At Opponent Result Score
2021-11-09 vs Trinity University (TX) Tigers W 97 - 66
2021-11-12 @ Oklahoma Sooners L 44 - 96
2021-11-15 vs Texas A&M-Commerce Lions L 62 - 65
2021-11-16 vs Denver Pioneers W 78 - 64
2021-11-17 vs IUPUI Jaguars W 60 - 57
2021-11-21 vs Texas A&M-Corpus Christi Islanders L 58 - 77
2021-11-29 vs St. Mary's (TX) Rattlers W 75 - 65
2021-12-02 @ Grand Canyon Lopes L 71 - 74
2021-12-11 @ Sam Houston Bearkats W 78 - 73
2021-12-17 vs UT Rio Grande Valley Vaqueros L 50 - 68
2021-12-21 @ Illinois State Redbirds L 64 - 81
2022-01-01 @ UAB Blazers L 59 - 87
2022-01-13 @ Old Dominion Monarchs L 51 - 83
2022-01-15 @ Charlotte 49ers L 53 - 62
2022-01-20 @ UTEP Miners L 64 - 69
2022-01-23 vs UTEP Miners L 54 - 59
2022-01-27 vs Florida International Panthers W 73 - 66
2022-01-29 vs Florida Atlantic Owls L 64 - 73
2022-02-03 @ Rice Owls L 78 - 91
2022-02-05 @ North Texas Mean Green L 45 - 69
2022-02-07 @ Middle Tennessee Blue Raiders L 75 - 84
2022-02-12 vs Western Kentucky Hilltoppers L 65 - 71
2022-02-17 @ Southern Miss Golden Eagles W 98 - 79
2022-02-19 @ Louisiana Tech Bulldogs L 71 - 95
2022-02-24 vs UAB Blazers L 56 - 68
2022-03-03 vs North Texas Mean Green L 48 - 59
2022-03-05 vs Rice Owls W 82 - 71
2022-03-08 vs Southern Miss Golden Eagles L 64 - 67

2022 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. Jefferson J. Jefferson G 1 29.0 18.0 6.0 4.0 0.0 0.0 0.0 13.0 15.0 -125 -6.9 -10.7 46.2 40.0 100.0 0.57 61.0 53.8
J. Germany J. Germany - 28 27.8 15.5 7.2 0.6 0.5 0.9 1.9 2.8 20.0 - - - 53.8 0.0 62.5 0.46 236.2 53.8
J. Ivy-Curry J. Ivy-Curry - 17 27.6 12.8 2.2 2.4 0.9 0.1 2.6 3.4 12.4 -32 -1.5 -2.3 42.1 39.3 88.9 0.06 178.0 51.8
D. Deing D. Deing G 3 26.3 8.3 5.3 2.3 0.3 0.3 2.7 13.0 1.0 -53 -2.1 -3.2 23.1 17.2 40.0 0.09 30.3 29.5
C. Alley Jr. C. Alley Jr. F 1 31.0 7.0 5.0 2.0 1.0 1.0 0.0 11.0 5.0 -50 -3.3 -4.9 27.3 25.0 0 0.49 31.8 31.8
I. Addo-Ankrah I. Addo-Ankrah G 21 16.4 5.7 1.8 0.3 0.4 0.0 0.5 1.0 6.6 -25 -1.1 -2.8 33.3 36.8 100.0 0.03 256.5 50.0
E. Czumbel E. Czumbel - 28 27.5 5.2 2.5 3.1 0.4 0.2 1.2 1.0 9.0 -160 -5.0 -7.6 37.9 7.7 66.7 -0.62 229.1 39.7
L. Bofinger L. Bofinger - 28 15.4 3.5 3.7 0.6 0.4 0.4 0.8 0.7 7.1 -30 -0.9 -2.4 57.9 0 28.6 0.3 224.2 57.9
C. Tucker C. Tucker - 21 14.4 3.1 1.3 0.9 0.4 0.2 1.1 0.6 4.2 -84 -3.2 -8.8 50.0 0.0 60.0 -0.63 201.2 50.0
A. Aleu A. Aleu - 6 14.3 3.0 1.8 0.7 0.5 0.0 0.8 0.0 5.2 -56 -5.6 -14.8 0 0 0 -0.63 0 0
J. Farmer J. Farmer F 21 8.7 2.1 2.0 0.1 0.2 0.1 0.7 0.7 3.0 -17 -0.7 -3.2 33.3 0.0 50.0 -0.11 134.2 33.3
L. Sabally L. Sabally F 18 12.2 2.1 2.5 0.2 0.1 0.1 0.6 0.5 3.9 -5 -0.2 -0.8 55.6 33.3 50.0 0.5 192.3 61.1
D. McNeill D. McNeill - 2 25.5 2.0 2.0 1.5 1.0 0.0 2.0 4.0 0.5 -120 -4.1 -6.9 25.0 0.0 0 -0.36 25.0 25.0
P. Ford P. Ford F 3 16.7 2.0 3.7 0.7 0.3 0.0 1.0 1.7 4.0 -96 -3.3 -8.4 40.0 0.0 66.7 -0.8 47.5 40.0

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