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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
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 860 (#397) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 878 (#467) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 868 (#556) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -4.0 (#254) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -9.0 (#452) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.178 (#499) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -38.9 More → 0.013 (#286) NetEff -38.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.3 More → 0.255 (#520) AdjNet -9.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.9 More → 0.261 (#517) AdjNet -8.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.3 | AdjD 77.9 More → 0.353 (#512) AdjO 71.3 | AdjD 77.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.6 | AdjD 73.0 More → 0.299 (#544) AdjO 63.6 | AdjD 73.0
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 → 0.265 (#499) 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 → 0.263 (#504) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 19 More → 804 (#447) RD 107 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-16 vs Black Hills St. L 54 - 86
2025-11-17 @ MSU Denver L 103 - 113
2025-11-20 vs Angelo St. W 60 - 47
2025-11-22 vs UT Permian Basin W 67 - 61
2025-11-26 @ St. Mary's (TX) L 44 - 85
2025-12-04 @ St. Edward's L 52 - 66
2025-12-06 @ St. Mary's (TX) L 68 - 84
2025-12-18 vs Texas-Dallas L 80 - 91
2026-01-02 vs Eastern N.M. L 66 - 96
2026-01-04 vs West Tex. A&M L 79 - 86
2026-01-08 @ DBU L 63 - 90
2026-01-10 @ UT Tyler L 69 - 87
2026-01-15 vs Okla. Christian L 59 - 80
2026-01-17 vs Cameron W 72 - 71
2026-01-20 @ Western N.M. L 51 - 69
2026-01-29 vs Tex. A&M Int'l W 66 - 41
2026-01-31 vs Tex. A&M-Kingsville L 64 - 70
2026-02-05 @ UT Permian Basin L 63 - 81
2026-02-07 @ Angelo St. L 51 - 69

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%
Jackson Thoele - 3 28.2 15.7 5.7 1.3 1.0 0.7 1.3 10.7 12.3 9 3.0 7.4 43.8 22.2 83.3 -0.07 58.9 50.0
Tsimur Mikhailau - 19 28.1 10.8 3.4 0.8 0.4 0.1 1.5 9.2 4.9 -113 -6.3 -42.7 37.9 30.3 79.4 0.1 50.8 44.5
Antwonne Holmes - 18 27.0 10.2 4.6 2.4 1.7 0.2 3.0 8.2 7.9 -31 -1.7 -10.7 36.5 29.4 78.2 -0.58 50.5 41.6
Keagan Moncrief - 17 19.8 8.4 3.0 0.5 0.4 0.8 1.5 7.9 3.6 -113 -6.6 -96.4 43.3 26.2 60.0 -0.83 49.0 47.4
Julien Barclay - 19 31.4 8.2 3.5 1.8 1.4 0.1 1.8 7.3 5.8 -105 -5.5 -46.2 38.1 32.0 58.9 0.57 47.4 43.9
Sterling White - 1 21.8 8.0 8.0 1.0 0.0 1.0 0.0 11.0 7.0 132 6.0 59.3 36.4 0 0.0 -1.28 35.0 36.4
Manny Flores - 12 21.4 6.7 1.4 1.4 0.8 0.2 1.0 6.3 3.1 -87 -7.2 -197.9 36.8 47.2 77.8 0.7 50.0 48.0
Camren Roper - 19 28.5 6.6 6.7 3.7 2.9 0.1 3.6 5.8 10.5 -133 -7.0 -46.3 41.4 26.3 59.6 0.74 47.5 43.7
Chianti Clay - 15 10.3 4.7 1.1 0.5 0.2 0.1 0.5 3.9 2.2 -48 -3.2 -128.6 37.3 36.7 90.0 -0.24 56.0 52.5
Christian Nevarez - 18 18.4 4.7 1.9 1.1 0.3 0.0 0.5 4.3 3.3 - - - 38.5 37.0 72.7 - 51.3 49.4
Kevon Zilaee - 12 11.0 4.2 2.4 0.4 0.3 0.4 1.1 2.5 4.2 -42 -3.2 -78.1 50.0 66.7 69.2 0.36 60.3 53.3
Ernests Locmelis - 17 10.5 2.9 0.8 0.3 0.1 0.0 0.4 3.3 0.5 -7 -0.4 -6.9 30.4 27.9 57.1 -1.56 42.3 41.1
Stipano Yosia - 8 12.8 2.8 1.1 0.1 0.2 0.0 0.2 2.2 1.8 -1 -0.3 -0.9 27.8 18.2 83.3 -0.78 47.3 33.3
Donato Joseph - 4 9.7 1.8 0.5 0.0 0.2 0.0 0.5 1.5 0.5 3 1.5 6.7 33.3 0.0 75.0 -0.16 45.1 33.3
Isaiah Olayinka - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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