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Tex. A&M Int'l

Also known as: Tex. A&M Int'l
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 → 1033 (#169) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1044 (#205) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1025 (#216) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +0.4 (#218) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +3.7 (#299) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.511 (#358) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +41.9 More → 0.996 (#71) NetEff +41.9
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.0 More → 0.364 (#314) NetEff -4.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.3 More → 0.697 (#321) AdjNet +7.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.9 More → 0.719 (#320) AdjNet +7.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.6 | AdjD 66.6 More → 0.633 (#300) AdjO 72.6 | AdjD 66.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.8 | AdjD 64.2 More → 0.512 (#331) AdjO 64.8 | AdjD 64.2
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 → 0.555 (#308) 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 → 0.552 (#302) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 1002 (#242) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ St. Thomas (TX) - Incomplete score
2025-11-12 @ Texas Southern - Incomplete score
2025-11-14 @ Arkansas Tech - Incomplete score
2025-11-20 @ Drury - Incomplete score
2025-11-24 vs Western Colo. - Incomplete score
2025-11-25 @ Colo. Christian - Incomplete score
2025-12-04 vs UT Tyler - Incomplete score
2025-12-06 vs Texas Woman's - Incomplete score
2025-12-13 @ UT Permian Basin - Incomplete score
2025-12-15 @ Angelo St. - Incomplete score
2025-12-20 vs Biblical Stud. (TX) - Incomplete score
2026-01-02 vs Okla. Christian - Incomplete score
2026-01-10 @ Texas-Dallas - Incomplete score
2026-01-13 @ Tex. A&M-Kingsville - Incomplete score
2026-01-17 vs Tex. A&M-Kingsville - Incomplete score
2026-01-22 vs UT Permian Basin - Incomplete score
2026-01-29 @ Sul Ross St. - Incomplete score
2026-01-31 @ Western N.M. - Incomplete score
2026-02-05 vs St. Mary's (TX) - Incomplete score
2026-02-07 vs St. Edward's - 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%
Aaliyah McMillan - 9 23.3 13.4 3.7 0.6 1.6 0.1 4.1 12.7 2.6 -38 -4.2 -57.6 31.6 27.5 69.1 0.45 43.8 36.4
Jayden Smallwood - 11 30.0 12.9 4.5 4.1 2.5 0.4 3.3 13.3 7.8 76 6.3 19.3 30.8 25.0 60.8 2.81 39.8 33.2
Bridgette Tello - 11 22.3 11.8 3.6 1.5 1.9 0.4 2.4 10.3 6.5 24 2.0 7.7 38.9 28.6 80.0 -1.2 50.6 45.1
Angelique Morgan - 12 33.9 9.8 5.2 2.2 1.2 0.1 1.9 11.0 5.5 -7 -0.5 -7.0 33.3 0.0 78.4 0.84 39.5 33.3
Racheal Emmanuel - 17 29.1 9.5 9.4 1.1 2.0 0.6 3.1 7.8 11.6 -25 -1.4 -6.5 39.8 100.0 70.1 1.47 48.2 40.2
Carmen Morcillo - 19 26.9 8.1 1.5 0.4 0.6 0.2 0.7 7.5 2.6 36 1.7 9.3 35.2 36.3 83.3 2.47 53.2 52.5
Deannasty Smith - 7 22.7 7.0 5.7 0.9 1.3 0.9 2.6 9.1 4.0 -42 -6.0 -40.9 32.8 0.0 63.6 -1.66 35.6 32.8
Dacia Jones - 19 26.9 6.5 5.0 1.1 1.3 0.4 2.2 4.8 7.4 -26 -1.2 -7.1 44.6 18.2 65.6 -2.27 52.2 45.7
Jaela Wade - 18 19.2 5.6 2.1 0.9 0.9 0.0 1.7 6.3 1.4 36 1.8 12.8 32.7 26.2 60.0 0.88 40.3 37.6
abigail martinez - 19 18.1 4.3 4.3 1.2 1.3 0.2 1.8 3.8 5.4 -49 -2.3 -19.2 32.9 20.0 71.1 -0.75 43.6 33.6
Taylor Jacobson - 14 13.5 3.3 3.2 0.6 0.7 0.0 0.7 3.6 3.5 1 0.1 0.4 32.0 40.0 48.0 -2.31 37.7 34.0
Gabby Gamboa - 2 8.5 2.0 1.0 0.0 1.0 0.0 1.5 6.5 -4.0 - - - 15.4 0.0 0 0.71 15.4 15.4
Ariana Bustamante - 7 4.5 1.7 0.7 0.6 0.6 0.0 0.6 1.9 1.1 5 0.7 28.2 30.8 30.0 50.0 -1.05 43.2 42.3
Olivia Bugros - 7 5.4 1.1 1.6 0.1 0.1 0.0 0.9 1.3 0.9 23 2.9 113.6 33.3 0 33.3 -0.32 34.4 33.3
Andrea Reyes - 4 4.9 0.5 0.8 0.2 0.8 0.2 0.2 2.2 0.0 3 0.6 46.8 11.1 0.0 0 -0.97 11.1 11.1

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