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Sul Ross St.

Also known as: Sul Ross St.
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 853 (#505) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 910 (#600) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -11.1 (#297) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -14.2 (#547) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.305 (#536) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -17.2 More → 0.086 (#492) NetEff -17.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.1 More → 0.385 (#421) AdjNet -4.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.3 More → 0.376 (#417) AdjNet -4.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.2 | AdjD 68.7 More → 0.420 (#422) AdjO 65.2 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.7 | AdjD 63.7 More → 0.367 (#570) AdjO 57.7 | AdjD 63.7
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 → 0.215 (#584) 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 → 0.239 (#579) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 304 | GP 2 More → 787 (#496) RD 304 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-21 @ Schreiner L 59 - 72
2025-12-16 vs McMurry L 59 - 73

2026 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%
Victoria Aguayo - 2 37.0 14.5 9.5 2.5 4.0 0.0 4.0 14.5 12.0 - - - 44.8 33.3 100.0 - 48.5 46.6
Sophiya Bustillos - 2 28.2 12.0 5.5 1.0 1.5 0.0 1.5 14.5 4.0 - - - 31.0 16.7 57.1 - 37.4 34.5
Ariana Escalante - 1 32.5 9.0 9.0 0.0 1.0 0.0 7.0 6.0 6.0 - - - 33.3 0 83.3 - 52.1 33.3
Makayla Harris - 1 27.6 7.0 2.0 0.0 1.0 0.0 0.0 4.0 6.0 - - - 25.0 33.3 100.0 - 60.8 37.5
Emma Schumacher - 2 31.7 6.5 3.0 0.5 0.5 0.0 2.0 6.0 2.5 - - - 25.0 25.0 75.0 - 41.9 29.2
Breanna Morrison - 2 13.8 5.5 0.5 0.0 1.0 0.0 1.5 3.5 2.0 - - - 57.1 0 60.0 - 59.8 57.1
Itzel Caro - 2 29.8 5.0 0.5 1.5 1.5 0.0 3.0 7.0 -1.5 - - - 21.4 25.0 75.0 - 31.7 25.0
Leslie Mojica - 2 15.4 4.0 3.5 1.0 1.5 0.0 2.5 5.0 2.5 - - - 40.0 0.0 0.0 - 36.8 40.0
Daisy Fernandez - 2 12.7 3.5 7.0 0.5 0.0 0.0 1.0 4.0 6.0 - - - 37.5 0.0 33.3 - 37.6 37.5
Kyra Taylor - 1 3.0 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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