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Wis.-Whitewater

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Wis.-Whitewater
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 → 1157 (#19) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1305 (#18) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1144 (#61) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +28.0 (#9) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +20.6 (#111) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.899 (#245) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +16.7 More → 0.911 (#149) NetEff +16.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +41.6 More → 0.992 (#102) AdjNet +41.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +41.7 More → 0.993 (#109) AdjNet +41.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.6 | AdjD 50.1 More → 0.903 (#118) AdjO 74.6 | AdjD 50.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.8 | AdjD 48.9 More → 0.824 (#46) AdjO 65.8 | AdjD 48.9
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 → 0.901 (#65) 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 → 0.894 (#59) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 1300 (#25) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs WashU W 63 - 58
2025-11-15 vs Millikin W 70 - 50
2025-11-16 @ Ill. Wesleyan W 60 - 51
2025-11-19 vs Carroll (WI) W 73 - 62
2025-11-25 vs Principia W 81 - 49
2025-11-29 @ Calvin L 53 - 61
2025-12-13 @ Knox W 77 - 66
2025-12-17 @ Mary Hardin-Baylor W 66 - 37
2025-12-29 @ Augsburg W 89 - 51
2025-12-30 @ Gustavus Adolphus W 47 - 44
2026-01-10 vs UW-River Falls W 68 - 54
2026-01-14 vs Wis.-La Crosse L 54 - 77
2026-01-17 @ Wis.-Stout W 72 - 53
2026-01-21 vs Wis.-Platteville W 63 - 49
2026-01-24 @ Wis.-Eau Claire W 65 - 48
2026-01-28 vs Wis.-Oshkosh L 43 - 55
2026-02-04 @ Wis.-La Crosse W 64 - 47
2026-02-07 vs Wis.-Stout L 53 - 66

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%
Mia Gillis - 18 24.5 12.0 5.0 1.4 1.0 0.6 2.4 9.7 7.8 145 6.9 47.6 50.3 0 75.5 3.72 54.5 50.3
Bri McCurdy - 18 29.5 9.1 2.3 2.6 2.3 0.2 2.1 7.9 6.4 182 8.7 52.5 34.5 27.5 75.4 3.81 48.3 41.2
Renee Rittmeyer - 18 28.7 8.3 7.2 1.4 2.6 0.3 2.0 6.1 11.8 139 6.6 40.0 49.5 40.0 69.4 1.3 59.7 56.9
Camryn Nies - 18 26.6 7.9 3.3 1.5 1.3 0.1 1.9 7.8 4.3 134 6.4 45.1 35.0 32.4 64.5 -0.28 46.2 43.6
Caden Krohn - 17 16.6 6.8 2.6 1.1 0.5 0.4 1.0 5.8 4.5 101 5.0 71.0 47.5 20.0 73.9 2.44 52.7 49.5
Brooke Stenklyft - 18 22.6 6.4 3.6 1.5 0.3 0.1 1.6 6.2 4.1 39 1.9 12.6 41.4 50.0 45.1 -1.69 43.5 41.9
Logan Lowry - 18 13.7 5.1 3.4 0.9 0.6 0.4 1.6 3.1 5.8 76 3.6 70.1 41.1 42.1 82.6 -1.52 60.3 48.2
Lainee Burks - 17 12.4 3.6 1.7 0.5 0.9 0.0 1.2 4.0 1.6 31 1.6 37.5 35.3 19.0 76.9 -0.37 42.1 38.2
Ashley Schlabowske - 16 13.3 2.9 1.4 0.9 1.1 0.1 1.3 4.1 1.0 62 3.3 46.8 28.8 5.9 80.0 -1.47 33.4 29.5
Sylvia Fox - 13 9.2 2.5 1.4 0.6 0.5 0.0 0.5 2.4 2.1 64 4.6 88.2 48.4 33.3 50.0 1.61 50.2 50.0
Maddie Andersen - 8 4.0 1.6 0.9 0.0 0.1 0.0 0.6 1.5 0.5 14 1.3 71.0 41.7 0.0 75.0 -1.1 47.2 41.7
Jada Raeder - 6 2.9 1.0 0.8 0.0 0.0 0.2 0.7 0.8 0.5 -5 -0.7 -250.0 40.0 0 66.7 0.53 47.5 40.0
Kaitlyn Sedillo - 5 2.6 0.6 0.0 0.2 0.2 0.0 0.4 0.6 0.0 -3 -0.4 -150.0 33.3 50.0 0 0.53 50.0 50.0
Teresa Kescenovitz - 6 2.5 0.5 0.2 0.3 0.0 0.0 0.0 0.3 0.7 -3 -0.4 -77.4 50.0 0 50.0 0.56 52.1 50.0
Izzy Kirchner - 7 2.7 0.3 0.4 0.0 0.1 0.0 0.4 1.1 -0.7 -4 -0.5 -29.3 0.0 0.0 100.0 0.76 11.3 0.0
Julia Bruch - 2 3.2 0.0 0.5 0.0 0.5 0.0 0.0 0.5 0.5 - - - 0.0 0 0 - 0.0 0.0
Lily Newton - 6 5.7 0.0 0.5 0.3 0.0 0.0 0.5 0.3 0.0 12 1.7 44.0 0.0 0.0 0.0 0.11 0.0 0.0
Grace Bronski - 4 4.7 0.0 0.2 0.2 0.8 0.2 0.0 1.0 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