Tex. A&M Int'l
Also known as: Tex. A&M Int'l
Program History
Model Outputs
2025-2026
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 → | 1101 (#139) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1013 (#348) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.7 (#175) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.962 (#186) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.892 (#218) | AdjNet +18.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.897 (#215) | AdjNet +18.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.798 (#178) | AdjO 83.6 | AdjD 68.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.652 (#175) | AdjO 69.2 | AdjD 62.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.722 (#190) | 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. More → | 0.692 (#223) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1098 (#166) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | St. Thomas (TX) | W | 95 - 85 |
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 | - | 1 | 21.8 | 22.0 | 9.0 | 0.0 | 1.0 | 1.0 | 2.0 | 16.0 | 15.0 | - | - | - | 43.8 | 42.9 | 55.6 | - | 55.1 | 53.1 |
| Bridgette Tello | - | 1 | 26.6 | 18.0 | 2.0 | 1.0 | 4.0 | 0.0 | 1.0 | 15.0 | 9.0 | - | - | - | 40.0 | 33.3 | 100.0 | - | 55.1 | 50.0 |
| Angelique Morgan | - | 1 | 34.0 | 15.0 | 6.0 | 2.0 | 2.0 | 0.0 | 4.0 | 8.0 | 13.0 | - | - | - | 62.5 | 0 | 83.3 | - | 70.5 | 62.5 |
| Dacia Jones | - | 1 | 28.9 | 11.0 | 7.0 | 1.0 | 1.0 | 0.0 | 3.0 | 7.0 | 10.0 | 78 | 3.9 | 17.2 | 42.9 | 100.0 | 66.7 | 0.51 | 57.1 | 50.0 |
| Jayden Smallwood | - | 1 | 19.9 | 10.0 | 2.0 | 3.0 | 1.0 | 0.0 | 5.0 | 4.0 | 7.0 | - | - | - | 75.0 | 100.0 | 100.0 | - | 102.5 | 100.0 |
| Taylor Jacobson | - | 1 | 25.0 | 7.0 | 5.0 | 2.0 | 3.0 | 0.0 | 1.0 | 10.0 | 6.0 | - | - | - | 30.0 | 0.0 | 33.3 | - | 30.9 | 30.0 |
| Carmen Morcillo | - | 1 | 20.2 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 5.0 | 0.0 | - | - | - | 40.0 | 50.0 | 0 | - | 60.0 | 60.0 |
| Deannasty Smith | - | 1 | 13.0 | 5.0 | 7.0 | 1.0 | 1.0 | 2.0 | 2.0 | 10.0 | 4.0 | 78 | 3.9 | 26.0 | 20.0 | 0 | 50.0 | -0.03 | 23.0 | 20.0 |
| abigail martinez | - | 1 | 10.4 | 1.0 | 3.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 9.0 | -192 | -12.8 | -62.0 | 0 | 0 | 50.0 | -3.22 | 56.8 | 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