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St. Mary's (TX)

Also known as: St. Mary's (TX)
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 → 1030 (#192) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1059 (#171) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1024 (#221) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +8.5 (#131) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +12.7 (#173) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.218 (#480) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +24.7 More → 0.978 (#89) NetEff +24.7
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +27.1 More → 0.970 (#94) NetEff +27.1
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.1 More → 0.335 (#325) NetEff -5.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.7 More → 0.606 (#354) AdjNet +3.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.4 More → 0.628 (#347) AdjNet +4.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.3 | AdjD 59.0 More → 0.576 (#336) AdjO 62.3 | AdjD 59.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.2 | AdjD 54.3 More → 0.609 (#156) AdjO 59.2 | AdjD 54.3
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 → 0.675 (#205) 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 → 0.674 (#203) 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 → 1102 (#104) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ UTRGV - Incomplete score
2025-11-14 @ South Dakota Mines - Incomplete score
2025-11-16 @ Black Hills St. - Incomplete score
2025-11-19 @ Lamar University - Incomplete score
2025-11-22 vs Western Colo. - Incomplete score
2025-11-28 vs Washburn - Incomplete score
2025-11-29 vs Okla. Baptist - Incomplete score
2025-12-04 vs Western N.M. - Incomplete score
2025-12-06 vs Sul Ross St. - Incomplete score
2025-12-11 @ UIW - Incomplete score
2025-12-16 @ Texas Woman's - Incomplete score
2026-01-02 vs Midwestern St. - Incomplete score
2026-01-10 @ West Tex. A&M - Incomplete score
2026-01-15 vs Texas Woman's - Incomplete score
2026-01-17 vs UT Tyler - Incomplete score
2026-01-22 @ Okla. Christian - Incomplete score
2026-01-31 vs Texas-Dallas - Incomplete score
2026-02-05 @ Tex. A&M Int'l - Incomplete score
2026-02-07 @ Tex. A&M-Kingsville - 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%
Christin Callens - 16 26.6 10.8 5.2 1.1 0.3 0.2 2.6 9.7 5.4 27 1.4 6.7 43.2 26.7 83.3 2.91 49.9 44.5
Allie Garcia - 16 26.0 10.6 2.3 1.1 0.4 0.4 1.9 8.7 4.2 66 3.5 17.3 48.2 31.1 72.2 1.54 57.9 56.5
Aina Maynou - 16 25.8 8.0 3.2 1.4 0.9 0.1 2.1 6.8 4.7 30 1.6 7.7 41.7 33.3 88.2 0.02 55.4 52.3
Quezia Bertoni - 13 21.6 7.2 3.0 2.5 0.4 0.1 1.1 4.3 7.8 18 1.0 9.8 46.4 40.0 91.4 1.84 65.8 55.4
Raynne Malik - 16 27.1 6.1 8.1 1.1 0.9 2.6 2.1 5.3 11.2 -4 -0.2 -1.0 40.0 16.0 61.0 -0.01 47.1 42.4
Imani Ivery - 13 15.5 5.9 2.5 1.3 0.8 0.5 1.4 5.4 4.2 74 4.6 29.1 44.3 44.4 20.0 3.39 50.3 52.9
Brianna Vargas - 16 10.5 3.3 1.0 0.4 0.2 0.0 0.6 2.6 1.8 -24 -1.3 -13.8 45.2 42.4 50.0 -3.03 61.8 61.9
Lena Newby - 16 12.6 3.3 4.2 0.3 0.4 0.9 1.1 3.6 4.5 28 1.3 16.4 41.4 28.6 27.3 0.15 42.2 43.1
Tiara Louis - 16 15.8 3.1 1.6 0.5 0.4 0.0 1.2 2.8 1.6 -61 -2.9 -26.4 38.6 37.1 50.0 -3.05 53.6 53.4
Andrea Montesinos - 16 16.1 1.8 2.3 1.9 0.3 0.2 1.2 2.3 3.1 -4 -0.2 -1.5 18.9 24.0 81.8 -2.22 34.7 27.0
Cornelia Petersson - 5 8.2 1.6 1.0 1.6 0.2 0.0 0.4 1.0 3.0 - - - 40.0 50.0 75.0 -2.21 59.2 50.0
Peyton Stellato - 2 12.1 1.5 1.0 0.5 0.0 0.0 1.0 2.5 -0.5 -11 -3.7 -23.4 20.0 25.0 0 - 30.0 30.0
Sian Phipps - 12 3.6 1.2 1.3 0.1 0.0 0.2 0.2 1.8 0.8 -13 -0.9 -47.9 22.7 0.0 83.3 2.7 30.4 22.7
Emily Buitron - 7 5.0 1.0 0.7 0.6 0.6 0.0 0.4 1.1 1.3 -7 -1.0 -33.6 25.0 20.0 100.0 -0.18 39.4 31.2
Brooke Kleinig - 9 3.7 1.0 1.2 0.3 0.2 0.0 0.7 0.7 1.4 -28 -2.5 -76.5 50.0 33.3 50.0 0.02 58.0 58.3

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