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St. Norbert

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: St. Norbert
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 → 1048 (#135) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1099 (#145) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1113 (#80) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +11.5 (#82) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.5 (#240) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.898 (#246) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.0 More → 0.856 (#192) NetEff +13.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.8 More → 0.831 (#254) AdjNet +13.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.4 More → 0.829 (#255) AdjNet +13.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.9 | AdjD 58.0 More → 0.672 (#259) AdjO 65.9 | AdjD 58.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.7 | AdjD 54.0 More → 0.726 (#101) AdjO 64.7 | AdjD 54.0
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 → 0.719 (#197) 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 → 0.731 (#179) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 19 More → 1093 (#167) RD 105 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs UChicago L 49 - 54
2025-11-08 vs Carroll (WI) L 48 - 75
2025-11-20 vs Ripon W 78 - 72
2025-11-25 vs Wis.-Eau Claire L 63 - 70
2025-12-03 vs Rockford W 81 - 39
2025-12-13 @ Lakeland W 79 - 51
2025-12-16 @ Carthage L 63 - 66
2025-12-22 @ McMurry L 68 - 73
2026-01-10 vs Illinois Tech W 76 - 50
2026-01-14 vs Wis. Lutheran W 64 - 53
2026-01-17 @ Dominican (IL) W 57 - 38
2026-01-21 @ Rockford W 70 - 28
2026-01-24 vs Concordia Chicago W 93 - 50
2026-01-28 @ Edgewood W 77 - 56
2026-01-31 @ Benedictine (IL) L 65 - 77
2026-02-07 vs Concordia Wisconsin W 53 - 42

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%
Taylor Thiry - 16 23.8 16.1 6.8 2.8 1.4 0.3 2.1 12.2 13.1 63 3.3 17.8 50.0 33.3 86.8 1.3 56.9 50.5
Marnie Kahl - 12 24.8 10.2 5.2 2.2 0.9 0.4 0.8 9.2 8.9 67 4.5 25.0 50.5 33.3 44.4 0.83 53.5 53.6
Rose Hahn - 16 27.1 9.1 3.6 1.8 1.1 0.2 2.2 8.5 5.2 90 4.7 25.4 40.4 33.3 60.0 1.19 48.9 47.1
Oakley Witteck - 14 25.8 8.9 4.9 4.0 1.8 0.0 2.3 6.4 10.9 54 3.2 12.1 56.2 60.0 72.4 2.04 60.9 57.9
Olivia Conway - 16 27.0 7.8 2.8 2.6 1.8 0.0 2.0 8.2 4.8 14 0.7 3.7 36.6 26.7 66.7 0.07 45.5 44.3
Avery Bierowski - 16 21.2 6.4 7.4 0.9 0.9 0.2 1.6 5.9 8.3 10 0.5 3.4 44.7 11.5 65.2 1.56 49.0 46.3
Reese Sellers - 15 22.7 5.7 1.1 1.7 0.6 0.1 0.9 5.7 2.8 -88 -5.2 -27.0 37.6 32.3 40.0 -2.2 49.3 49.4
Kat Miller - 12 9.9 2.2 1.1 0.8 0.0 0.4 0.6 2.2 1.7 -17 -1.2 -15.1 38.5 20.0 75.0 -0.26 46.8 44.2
Addyson Phipps - 14 6.5 1.6 1.1 0.3 0.1 0.0 0.4 2.0 0.8 -21 -1.4 -35.7 32.1 20.0 100.0 1.81 38.6 33.9
Alaina Schwahn - 11 5.8 1.6 0.5 0.3 0.0 0.0 0.4 1.1 0.9 37 2.8 193.0 33.3 60.0 87.5 -0.22 58.0 45.8
Kalina Winslow - 7 6.6 1.4 0.7 0.6 0.0 0.0 0.4 1.7 0.6 6 0.9 8.7 33.3 25.0 0 -1.08 41.7 41.7
Larissa Huffman - 6 4.2 1.2 0.5 0.2 0.0 0.0 0.5 1.3 0.0 -8 -1.1 -46.3 37.5 0.0 25.0 -0.38 35.9 37.5
Tenley Loos - 8 3.5 1.2 0.6 0.2 0.2 0.0 0.1 1.1 1.1 27 3.0 141.5 44.4 0.0 100.0 0.75 50.6 44.4
Makayla Foley - 10 5.9 1.1 1.0 0.7 0.5 0.1 0.6 1.6 1.2 36 3.3 83.6 18.8 16.7 66.7 1.16 29.5 21.9
Makayla Hayes - 7 3.7 0.9 0.6 0.4 0.0 0.1 0.3 0.7 1.0 4 0.4 44.2 60.0 0 0 0.24 60.0 60.0
Charley Mullen - 16 8.7 0.6 1.0 0.4 0.2 0.1 0.7 0.9 0.8 5 0.3 3.8 28.6 0.0 50.0 -1.9 30.2 28.6
Sam Opitz - 4 2.0 0.5 0.8 0.0 0.0 0.0 0.0 0.0 1.2 -2 -0.5 -18.5 0 0 100.0 -0.98 113.6 0
Ella Wiese - 1 2.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8 8.0 129.7 0 0 0 0.81 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