🐻⬇️🏀

St. Scholastica

Also known as: St. Scholastica
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 → 1013 (#223) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1165 (#76) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1089 (#108) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +11.7 (#78) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +5.4 (#269) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.499 (#451) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.9 More → 0.786 (#229) NetEff +9.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.8 More → 0.608 (#341) AdjNet +3.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.6 More → 0.604 (#341) AdjNet +3.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.0 | AdjD 61.4 More → 0.536 (#350) AdjO 63.0 | AdjD 61.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.5 | AdjD 57.3 More → 0.637 (#190) AdjO 63.5 | AdjD 57.3
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 → 0.679 (#234) 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 → 0.678 (#237) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 21 More → 1174 (#85) RD 100 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Bethany Lutheran W 64 - 53
2025-11-08 @ Minn.-Morris W 84 - 68
2025-11-12 vs Wis.-Superior W 56 - 52
2025-11-18 @ Wis.-Eau Claire L 58 - 85
2025-11-22 vs Crown (MN) W 79 - 54
2025-12-03 vs Augsburg W 68 - 48
2025-12-12 vs St. Catherine W 66 - 39
2025-12-20 @ Cal Lutheran W 88 - 72
2026-01-10 @ St. Olaf W 64 - 50
2026-01-14 vs Macalester W 62 - 48
2026-01-17 vs Bethel (MN) W 65 - 63
2026-01-21 @ Gustavus Adolphus L 49 - 61
2026-01-24 @ Carleton W 65 - 52
2026-01-28 @ Augsburg W 63 - 50
2026-01-31 vs Saint Benedict W 67 - 63
2026-02-04 @ Macalester W 70 - 49
2026-02-07 @ Bethel (MN) L 71 - 77

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%
Ava Haus - 17 35.0 17.6 5.8 2.0 1.4 0.6 2.0 15.0 10.5 138 6.6 22.8 36.1 31.3 87.3 1.6 51.6 45.1
Kloey Lind - 17 26.1 15.2 7.4 2.1 0.9 0.8 1.9 10.6 14.1 161 7.7 32.1 55.0 0.0 64.9 2.15 58.5 55.0
Evie Schmitz - 17 27.7 14.0 2.9 1.6 1.6 0.0 1.6 11.5 7.1 -67 -3.4 -15.8 40.0 40.8 76.4 0.57 54.3 50.3
Jackie Johnson - 14 19.7 4.9 3.1 1.1 1.4 0.4 0.9 5.6 4.5 88 4.9 29.8 25.3 23.9 81.2 1.84 40.1 35.4
Ryaan Speer - 16 20.6 4.2 2.7 0.8 0.8 0.2 1.2 4.2 3.3 8 0.4 2.6 32.4 7.7 75.9 1.13 42.1 33.8
Gabby Voigt - 17 21.1 3.9 4.1 1.1 0.7 0.5 1.4 4.0 4.9 37 1.8 8.7 38.2 20.0 81.8 1.01 46.0 42.6
Ava Riegel - 17 30.6 3.4 4.9 2.8 0.9 0.1 1.9 3.0 7.1 144 6.9 28.8 37.3 0.0 59.4 1.59 43.8 37.3
Jada Bierschbach - 14 11.4 2.5 1.0 0.3 0.6 0.0 0.5 2.0 1.9 -18 -1.0 -10.9 53.6 16.7 57.1 -0.0 56.3 55.4
Savannah Schlueter - 13 7.7 1.8 0.6 0.2 0.2 0.0 0.6 2.1 0.0 -9 -0.5 -11.8 25.9 24.0 75.0 0.21 40.0 37.0
Daysia Simmons - 7 8.6 1.6 1.3 0.3 0.0 0.0 1.0 1.3 0.9 -9 -1.3 -19.9 44.4 50.0 0 -1.95 61.1 61.1
Kate Toewe - 14 4.9 0.9 0.6 0.4 0.1 0.1 0.4 0.9 0.9 -16 -0.9 -26.9 33.3 0 100.0 0.36 45.8 33.3
Paxyn Rendahl - 8 1.5 0.0 0.2 0.0 0.0 0.0 0.2 0.1 -0.1 -13 -1.4 -257.9 0.0 0.0 0 0.85 0.0 0.0
Nia Hacker - 3 1.0 0.0 0.0 0.0 0.0 0.0 0.7 0.0 -0.7 - - - 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