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Austin

Also known as: Austin
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 → 1026 (#265) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 965 (#376) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1039 (#219) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +1.7 (#204) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +4.7 (#283) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.279 (#545) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.5 More → 0.554 (#341) NetEff +1.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.6 More → 0.143 (#519) AdjNet -15.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.0 More → 0.132 (#518) AdjNet -16.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.3 | AdjD 63.9 More → 0.293 (#509) AdjO 54.3 | AdjD 63.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.2 | AdjD 52.3 More → 0.651 (#179) AdjO 59.2 | AdjD 52.3
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 → 0.623 (#280) 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 → 0.625 (#276) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 22 More → 1048 (#256) RD 98 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Sewanee - Incomplete score
2025-11-08 @ Southwestern (TX) - Incomplete score
2025-11-14 vs Lyon - Incomplete score
2025-11-21 @ Howard Payne - Incomplete score
2025-11-29 @ Millsaps - Incomplete score
2025-11-30 @ MUW - Incomplete score
2025-12-03 vs Dallas - Incomplete score
2025-12-17 vs Millsaps - Incomplete score
2025-12-28 vs Berry - Incomplete score
2026-01-11 @ St. Thomas (TX) - Incomplete score
2026-01-16 vs Centenary (LA) - Incomplete score
2026-01-17 vs LeTourneau - Incomplete score
2026-01-21 vs Hendrix - Incomplete score
2026-01-22 vs Ozarks (AR) - Incomplete score
2026-01-30 @ Centenary (LA) - Incomplete score
2026-01-31 @ LeTourneau - Incomplete score
2026-02-07 @ Texas Lutheran - Incomplete score
2026-02-08 @ Concordia (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%
Lexi Martin - 15 33.5 11.4 2.6 1.9 1.4 0.1 1.4 11.5 4.5 -26 -1.5 -8.4 32.4 36.5 77.8 0.39 46.2 43.4
Avory Miller - 15 25.7 10.1 6.3 3.6 2.5 0.5 3.4 9.5 10.1 -57 -3.4 -16.4 35.7 16.7 63.5 0.1 43.3 36.7
Trinity Williams - 15 26.9 8.2 5.1 1.3 0.7 0.6 1.0 7.1 7.7 -5 -0.3 -1.3 43.0 36.4 71.4 2.01 52.9 50.5
Brooklyn Matthews - 9 18.2 7.0 5.9 0.6 0.3 0.9 1.1 4.8 8.8 22 1.8 10.9 62.8 0 81.8 2.47 65.8 62.8
Maya Dodson - 15 15.4 5.9 2.4 1.1 1.1 0.1 1.5 4.6 4.5 -81 -4.8 -36.6 42.0 43.4 58.3 -2.62 59.2 58.7
Amarys Cuellar - 6 15.4 5.8 2.7 2.2 1.0 0.2 1.5 6.8 3.5 -17 -1.9 -13.5 34.1 33.3 44.4 1.3 38.9 37.8
Kaylee Smith - 9 17.6 5.6 2.6 1.4 1.4 0.0 1.4 7.2 2.3 -17 -2.1 -6.9 30.8 8.3 57.1 -0.9 35.1 32.3
Taiyla Williams - 15 20.6 4.5 2.5 1.3 0.7 0.0 1.7 5.4 1.9 -33 -1.9 -12.4 29.6 26.7 78.6 0.47 38.4 34.6
Emma Potts - 15 19.9 4.2 4.8 1.5 0.7 0.4 1.5 3.1 6.9 -67 -3.9 -29.8 58.7 0 52.9 -2.04 58.9 58.7
Saleigh Berry - 14 12.7 4.1 1.6 0.6 0.7 0.0 1.4 3.9 1.9 -74 -5.3 -50.9 38.9 45.5 61.1 -3.34 46.8 43.5
Christen Campbell - 10 8.8 3.8 2.2 0.2 0.7 0.3 1.4 3.9 1.9 -11 -1.1 -27.4 38.5 0 40.0 1.06 39.7 38.5
Makayla Beckett - 5 2.6 1.8 0.2 0.2 0.8 0.0 0.4 1.8 0.8 -8 -1.3 -62.3 33.3 0.0 50.0 - 38.7 33.3
Grace Moothart - 11 10.1 1.5 0.5 0.2 0.2 0.0 0.4 1.6 0.4 -50 -4.5 -76.9 33.3 28.6 50.0 -2.61 45.0 44.4
Julianna Giles - 5 3.5 0.6 0.4 0.2 0.2 0.0 0.0 0.6 0.8 4 0.7 44.9 33.3 33.3 0 - 50.0 50.0
Kaylee Lewis - 5 2.6 0.4 0.2 0.0 0.0 0.0 0.6 0.6 -0.6 -4 -0.8 -35.6 33.3 0 0.0 -5.86 25.8 33.3
Kate Fletcher - 5 2.8 0.4 0.0 0.0 0.0 0.0 0.0 0.2 0.2 -7 -1.4 -62.2 100.0 0 0 - 100.0 100.0
Avery Rague - 5 3.0 0.0 1.4 0.6 0.0 0.0 0.2 0.0 1.8 -34 -5.7 -302.2 0 0 0 - 0 0
Maya Arzamendi - 1 0.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -3 -3.0 -128.6 0 0 0 - 0 0
Shaylee Lane - 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Ester Sabet - 2 1.5 0.0 0.0 0.0 0.5 0.0 0.5 0.5 -0.5 - - - 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