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UTSA

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: UTSA Roadrunners
Program History
Coach: Brooks Thompson

2014 Team Stats (11 games)

68.0
PPG
77.0
Opp
-9.0
Margin
41.9%
FG%
33.8%
3P%
67.8%
FT%
33.5
RPG
10.5
APG
14.7
TO
-
Est. poss./game
67.6
Adj PPG
77.7
Adj Opp PPG
#310
Scoring Rank

Model Outputs

2013-2014
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 → 825 (#297) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 780 (#317) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 858 (#336) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -10.5 (#307) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -8.0 (#288) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.170 (#327) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.8 More → 0.169 (#294) AdjNet -13.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.8 More → 0.168 (#294) AdjNet -13.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.6 | AdjD 77.7 More → 0.285 (#310) AdjO 67.6 | AdjD 77.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.0 | AdjD 74.0 More → 0.348 (#313) AdjO 67.0 | AdjD 74.0
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 → 0.245 (#309) 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 → 0.256 (#307) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 27 More → 800 (#304) RD 143 | GP 27

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-09 vs Northern Arizona Lumberjacks L 63 - 74
2013-11-14 @ Houston Cougars L 62 - 80
2013-11-18 vs McMurry War Hawks L 71 - 73
2013-11-21 vs UT Rio Grande Valley Vaqueros L 55 - 70
2013-11-23 vs Texas A&M-Corpus Christi Islanders W 87 - 76
2013-11-26 @ Nicholls Colonels L 73 - 79
2013-11-29 @ Texas Tech Red Raiders L 64 - 94
2013-12-04 vs Huston Tillotson Rams W 90 - 62
2013-12-07 @ UT Rio Grande Valley Vaqueros W 72 - 65
2013-12-18 vs Cal State Bakersfield Roadrunners L 64 - 90
2013-12-22 vs Georgia State Panthers L 68 - 99
2013-12-31 vs Cameron Aggies W 64 - 56
2014-01-04 @ Arkansas Razorbacks L 71 - 104
2014-01-09 vs Marshall Thundering Herd W 90 - 81
2014-01-11 vs Charlotte 49ers W 85 - 77
2014-01-16 @ UAB Blazers L 65 - 78
2014-01-18 @ Middle Tennessee Blue Raiders L 58 - 80
2014-01-25 @ UTEP Miners L 62 - 81
2014-01-30 vs Rice Owls W 89 - 76
2014-02-01 vs Louisiana Tech Bulldogs L 72 - 87
2014-02-06 @ Old Dominion Monarchs L 61 - 69
2014-02-08 @ East Carolina Pirates L 71 - 81
2014-02-13 vs Florida International Panthers L 72 - 80
2014-02-15 vs Florida Atlantic Owls W 66 - 56
2014-02-20 @ Southern Miss Golden Eagles L 56 - 85
2014-02-22 @ Tulane Green Wave L 56 - 68
2014-02-27 vs North Texas Mean Green L 62 - 71
2014-03-02 @ Tulsa Golden Hurricane L 70 - 72
2014-03-06 vs UTEP Miners L 51 - 61
2014-03-11 @ East Carolina Pirates L 76 - 79

2014 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Keon Lewis Keon Lewis G 26 28.7 13.1 2.3 2.7 0.7 0.0 2.7 5.1 10.9 -138 21 -6.6 -10.4 30.3 30.8 82.4 -1.73 98.8 34.8
Devon Agusi Devon Agusi G 28 27.4 11.5 2.9 2.4 1.2 0.0 2.7 4.9 10.5 -169 23 -7.3 -11.7 43.4 37.2 71.1 -1.06 92.0 49.3
Jordan Sims Jordan Sims G 28 32.2 10.3 4.1 1.0 1.2 0.1 0.9 4.4 11.4 -195 23 -8.5 -12.0 36.3 34.0 77.8 -0.93 106.3 50.0
Hyjii Thomas Hyjii Thomas G 28 24.0 9.3 2.9 1.7 0.9 0.2 2.4 3.2 9.4 -123 23 -5.3 -11.3 41.6 36.4 70.9 -1.58 114.8 46.1
Edrico McGregor Edrico McGregor F 27 24.8 7.9 5.5 0.9 0.3 0.4 2.0 2.7 10.3 -181 23 -7.9 -14.6 66.7 0 60.0 -3.17 127.7 66.7
Phillip Jones Phillip Jones F 25 22.7 7.5 6.2 1.0 1.1 0.8 2.2 2.9 11.6 -160 21 -7.6 -14.4 44.4 100.0 45.9 -1.38 94.6 45.1
K. Sherman K. Sherman C 26 16.8 4.5 3.3 0.1 0.3 0.2 1.4 1.6 5.4 -59 21 -2.8 -7.9 36.6 0 78.1 0.11 105.3 36.6
James Williams James Williams G 24 11.8 3.4 0.9 0.5 0.2 0.0 0.5 2.3 2.2 -100 19 -5.3 -21.1 34.5 22.7 66.7 -3.35 71.9 43.6
George Matthews George Matthews G 6 12.5 3.2 2.7 0.5 0.3 0.5 0.7 3.7 2.8 15 13 1.2 4.3 31.8 16.7 60.0 2.22 39.3 36.4
Tyler Wood Tyler Wood F 17 16.8 2.1 2.8 0.6 0.5 0.2 0.5 1.2 4.5 - - - - 25.0 25.0 63.6 - 72.5 32.5
Keith Benford Keith Benford G 3 2.7 2.0 0.3 0.0 0.0 0.0 0.0 0.7 1.7 - - - - 50.0 100.0 0 - 150.0 75.0
Lucas O'Brien Lucas O'Brien C 14 6.1 1.1 1.3 0.1 0.1 0.0 0.1 0.1 2.2 - - - - 50.0 0 0.0 - 225.9 50.0
Trey Moore Trey Moore G 4 2.5 0.0 0.2 0.8 0.0 0.0 0.2 0.2 0.5 - - - - 0.0 0 0 - 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