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Wis.-Stout

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Wis.-Stout
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 → 1055 (#125) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1131 (#103) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1010 (#365) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +15.2 (#58) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +7.3 (#245) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.840 (#275) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.8 More → 0.714 (#273) NetEff +6.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +33.5 More → 0.980 (#140) AdjNet +33.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +34.2 More → 0.983 (#135) AdjNet +34.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.2 | AdjD 57.0 More → 0.863 (#141) AdjO 77.2 | AdjD 57.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 61.7 More → 0.627 (#201) AdjO 67.4 | AdjD 61.7
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 → 0.653 (#257) 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 → 0.648 (#262) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 1120 (#134) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Ripon L 59 - 80
2025-11-09 vs Lakeland W 74 - 56
2025-11-12 vs Bethel (MN) W 61 - 53
2025-11-16 @ Concordia-M'head L 66 - 81
2025-11-18 vs Maranatha Baptist W 113 - 17
2025-11-25 @ Hamline W 69 - 56
2025-11-30 @ St. Thomas (MN) L 40 - 77
2025-12-03 @ Bethany Lutheran W 70 - 63
2025-12-06 @ Wis.-Superior W 65 - 40
2025-12-13 vs Augsburg W 79 - 57
2025-12-29 @ Dubuque W 76 - 52
2025-12-30 @ Loras W 75 - 51
2026-01-03 @ Wis.-Platteville L 69 - 82
2026-01-07 @ UW-River Falls L 48 - 66
2026-01-10 vs Wis.-Eau Claire W 72 - 70
2026-01-14 @ Wis.-Stevens Point L 50 - 79
2026-01-17 vs Wis.-Whitewater L 53 - 72
2026-01-21 @ Wis.-La Crosse L 73 - 80
2026-01-24 vs Wis.-Oshkosh L 49 - 75
2026-01-28 @ Wis.-Eau Claire L 60 - 77
2026-02-04 vs Wis.-Stevens Point L 66 - 74
2026-02-07 @ Wis.-Whitewater W 66 - 53

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%
Addy Verhagen - 22 30.1 11.6 3.8 4.0 1.3 0.2 2.9 9.4 8.6 -32 -1.5 -8.3 43.7 38.6 73.4 -0.82 53.0 47.8
Mary Berg - 22 32.0 9.5 2.6 2.8 1.7 0.1 2.1 8.5 6.1 3 0.1 0.7 37.1 35.1 93.9 2.53 52.1 47.8
Brooklynn Birt - 20 16.8 8.3 5.0 0.6 0.8 0.5 1.6 6.7 6.8 56 3.1 37.0 49.3 25.0 68.8 -0.8 53.8 50.0
Brooklyn Birt - 2 19.1 7.0 8.0 0.5 0.5 1.0 0.5 5.0 11.5 17 5.7 16.0 60.0 0 50.0 2.64 59.5 60.0
Julia Rybacki - 21 14.9 6.7 3.0 0.7 1.0 0.2 1.6 6.5 3.6 70 3.5 32.6 43.8 40.0 50.0 1.87 45.9 44.5
Maraya Wiltrout - 20 14.1 6.5 4.0 0.9 0.7 0.3 0.3 5.8 6.2 17 0.9 11.8 46.6 14.3 58.8 -1.09 49.3 47.0
Rosella Wille - 22 27.4 6.5 5.5 2.3 1.9 0.1 2.6 5.2 8.5 -2 -0.1 -0.6 48.2 41.7 71.0 -0.33 55.6 52.6
Grace Schisel - 20 17.5 5.9 1.6 0.8 0.8 0.0 1.6 6.3 1.2 10 0.5 5.5 25.4 22.8 87.8 -1.48 41.0 32.5
Olivia Johnson - 17 9.1 4.4 2.8 0.4 0.1 0.6 0.8 3.7 3.8 11 0.7 8.4 52.4 0 47.4 1.86 52.6 52.4
Eleice Dahl - 22 22.9 4.3 2.5 1.7 1.1 0.0 1.9 4.3 3.5 0 0.0 0.0 35.8 34.1 65.0 -0.82 45.8 43.2
Madison Malecha - 18 9.5 2.6 1.1 0.3 0.4 0.3 0.9 2.7 1.2 3 0.2 2.3 39.6 0.0 52.9 3.16 42.4 39.6
Emily Coonrod - 14 6.3 1.4 0.9 0.1 0.3 0.0 0.5 1.6 0.6 46 3.8 163.1 30.4 25.0 50.0 -0.82 40.4 39.1
Allison Wokatsch - 13 5.4 1.2 0.6 0.3 0.4 0.1 0.3 2.1 0.2 14 1.2 23.3 18.5 16.7 100.0 -0.42 26.9 24.1
Molly Garber - 9 2.4 1.0 0.8 0.0 0.3 0.0 0.0 0.6 1.6 21 2.6 189.5 60.0 0.0 75.0 0.24 66.6 60.0
Lucy Nichols - 7 3.6 0.9 0.1 0.3 0.4 0.1 0.1 1.1 0.6 26 4.3 487.5 25.0 33.3 0 -0.16 37.5 37.5
Molly Bills - 16 4.7 0.6 0.2 0.4 0.4 0.0 0.4 1.2 0.0 22 1.5 60.8 21.1 16.7 0 -0.6 26.3 26.3
Jordyn Derlein - 9 2.9 0.1 0.6 0.2 0.1 0.0 0.1 0.3 0.6 27 3.4 243.6 0.0 0.0 50.0 0.24 12.9 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