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Tex. A&M-Kingsville

Also known as: Tex. A&M-Kingsville
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 → 1047 (#137) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1017 (#221) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1005 (#250) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +2.7 (#235) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -0.7 (#342) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.278 (#448) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.5 More → 0.572 (#378) AdjNet +2.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.4 More → 0.570 (#382) AdjNet +2.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.4 | AdjD 73.0 More → 0.531 (#392) AdjO 74.4 | AdjD 73.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.6 | AdjD 70.4 More → 0.459 (#379) AdjO 68.6 | AdjD 70.4
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 → 0.495 (#321) 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 → 0.489 (#324) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 22 More → 998 (#231) RD 94 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ South Dakota Mines - Incomplete score
2025-11-15 @ South Dakota Mines - Incomplete score
2025-11-20 vs MSU Denver - Incomplete score
2025-11-22 vs Southeastern Okla. - Incomplete score
2025-11-25 vs Biblical Stud. (TX) - Incomplete score
2025-12-04 vs DBU - Incomplete score
2025-12-06 vs UT Tyler - Incomplete score
2025-12-11 @ UT Permian Basin - Incomplete score
2025-12-16 @ Mo.-St. Louis - Incomplete score
2025-12-17 @ Rogers St. - Incomplete score
2025-12-20 @ St. Mary's (TX) - Incomplete score
2026-01-02 vs Cameron - Incomplete score
2026-01-04 vs Okla. Christian - Incomplete score
2026-01-08 @ Texas-Dallas - Incomplete score
2026-01-13 vs Tex. A&M Int'l - Incomplete score
2026-01-17 @ Tex. A&M Int'l - Incomplete score
2026-01-21 @ Angelo St. - Incomplete score
2026-01-24 vs Angelo St. - Incomplete score
2026-01-29 @ Western N.M. - Incomplete score
2026-01-31 @ Sul Ross St. - Incomplete score
2026-02-05 vs St. Edward's - Incomplete score
2026-02-07 vs St. Mary's (TX) - Incomplete score

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%
Bryson Goldsmith - 20 17.9 10.6 3.0 1.3 1.1 0.2 1.0 9.4 5.8 -41 -2.0 -20.7 42.3 36.5 82.4 -1.32 51.7 48.4
Allen Singleton - 19 24.4 9.1 3.3 1.9 1.5 0.1 0.7 7.0 8.2 12 0.6 3.4 43.6 46.0 73.0 2.74 57.6 54.5
TJ Ford Jr. - 21 18.2 8.5 1.5 1.0 0.8 0.0 1.4 6.8 3.6 -58 -2.8 -30.2 35.9 32.1 79.4 -1.66 52.4 45.1
Jadon Sautter - 20 17.8 7.7 2.9 0.4 0.6 0.2 1.2 6.8 3.7 17 0.8 6.8 42.2 26.2 71.9 1.0 51.3 48.1
Jamir Turner - 21 15.8 6.0 3.3 0.9 0.9 0.2 1.2 6.0 4.2 -92 -4.4 -53.7 36.0 14.3 50.8 -4.62 40.9 37.2
Bryce Smith - 21 23.2 5.9 4.4 3.3 2.0 0.4 1.9 6.2 7.9 20 1.0 6.2 38.2 8.3 50.0 2.74 41.0 38.5
Nate Garcia - 21 15.8 5.1 3.8 0.9 0.6 0.1 1.0 3.3 6.2 25 1.2 9.1 58.0 25.0 70.6 2.59 64.3 60.9
Bryce Cook - 21 18.5 4.6 1.4 1.9 0.7 0.0 0.6 4.9 3.0 10 5.0 46.6 31.1 25.0 76.7 -1.75 41.3 35.4
KC Udolisa - 15 14.1 4.3 3.2 0.5 0.5 0.2 1.1 3.4 4.1 26 2.0 30.4 41.2 50.0 51.5 -0.47 48.8 46.1
Daniel Sanchez - 17 13.9 4.3 3.2 0.5 0.5 0.4 0.6 5.1 3.2 -44 -2.6 -24.6 31.4 18.8 76.5 -2.78 39.0 34.9
David Oriaku - 21 16.3 4.2 3.0 0.1 0.3 1.1 1.0 3.0 4.7 -43 -2.0 -16.1 57.8 0 55.6 -2.53 58.6 57.8
Caleb Carr - 22 11.7 2.4 2.1 0.1 0.1 0.3 0.6 2.5 2.0 -9 -0.4 -4.9 40.7 0 36.0 0.04 40.8 40.7
Jarin Hall - 7 6.0 1.9 0.6 0.0 0.4 0.0 0.1 1.4 1.3 23 1.2 8.8 40.0 25.0 80.0 -0.83 53.3 45.0
KJ Manuel - 6 5.0 1.5 0.3 0.0 0.0 0.0 0.0 1.5 0.3 - - - 33.3 0.0 75.0 0.89 41.8 33.3
Marc Eyman - 10 6.0 1.2 1.2 0.2 0.3 0.2 0.2 1.7 1.2 - - - 17.6 10.0 62.5 -2.97 29.2 20.6
Frank Madubuko - 5 7.1 1.2 2.2 0.2 0.0 0.0 0.8 1.6 1.2 13 3.2 29.4 12.5 0 66.7 1.48 28.2 12.5
James Livingston - 3 3.3 0.0 0.0 0.0 0.3 0.0 0.0 0.3 0.0 -37 -2.3 -14.2 0.0 0.0 0 -1.66 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