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Wis.-Oshkosh

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Wis.-Oshkosh
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 → 1206 (#3) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1444 (#1) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1287 (#4) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +30.6 (#5) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +27.3 (#83) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.967 (#182) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +32.5 More → 0.988 (#89) NetEff +32.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +48.0 More → 0.996 (#83) AdjNet +48.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +48.1 More → 0.997 (#86) AdjNet +48.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.5 | AdjD 44.1 More → 0.917 (#113) AdjO 70.5 | AdjD 44.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.8 | AdjD 42.5 More → 0.892 (#21) AdjO 65.8 | AdjD 42.5
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 → 0.953 (#26) 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 → 0.952 (#21) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 106 | GP 21 More → 1497 (#4) RD 106 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Carroll (WI) W 62 - 59
2025-11-08 vs UChicago W 60 - 58
2025-11-12 @ Concordia Wisconsin W 71 - 30
2025-11-14 @ Eureka W 83 - 33
2025-11-22 vs Wheaton (IL) W 84 - 59
2025-12-20 vs Edgewood W 78 - 42
2025-12-28 vs Minn.-Morris W 63 - 43
2025-12-29 vs Wis.-Superior W 68 - 41
2026-01-10 vs Wis.-Stevens Point W 64 - 41
2026-01-14 @ Wis.-Platteville W 56 - 44
2026-01-17 @ UW-River Falls W 65 - 33
2026-01-21 vs Wis.-Eau Claire W 64 - 52
2026-01-24 @ Wis.-Stout W 75 - 49
2026-01-28 @ Wis.-Whitewater W 55 - 43
2026-02-04 vs Wis.-Platteville L 43 - 47
2026-02-07 vs UW-River Falls W 69 - 47

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%
Paige Seckar - 16 28.6 13.2 6.5 1.9 1.8 1.2 1.3 9.7 13.6 153 7.3 29.2 49.0 46.7 74.3 1.8 56.8 51.3
Sammi Beyer - 16 26.9 10.7 2.4 3.4 0.9 0.2 1.4 10.5 5.7 199 9.5 37.8 37.5 36.4 86.7 2.93 49.0 47.0
Avery Poole - 16 29.3 6.9 2.2 1.4 0.2 0.2 1.0 5.7 4.4 130 6.2 26.7 35.2 35.5 69.4 1.63 51.9 47.3
Sarah Hardwick - 16 25.6 6.5 5.8 0.9 1.3 1.0 0.9 5.6 9.1 150 7.1 34.6 49.4 10.0 55.6 2.16 51.5 50.0
Olivia Argall - 14 16.7 5.8 2.2 0.9 0.7 0.1 0.3 4.2 5.3 88 4.6 41.4 47.5 42.9 90.9 2.91 63.4 60.2
Kate Huml - 16 18.5 5.1 2.0 1.3 0.4 0.1 0.8 3.9 4.2 97 4.6 33.6 34.9 28.0 78.9 3.71 50.8 40.5
Mallory Hoitink - 15 9.5 4.3 1.7 0.3 0.0 0.1 0.8 3.9 1.8 39 2.1 35.6 37.9 36.7 83.3 1.3 51.4 47.4
Bridget Froehlke - 12 11.9 4.1 0.8 1.0 0.6 0.1 0.7 3.8 2.0 39 2.6 25.9 34.8 33.3 50.0 0.02 49.5 48.9
Mahra Wieman - 15 8.5 3.5 1.9 0.3 0.5 0.1 0.1 2.1 4.1 9 0.5 5.2 53.1 38.5 76.5 1.13 65.9 60.9
Mayah Holzhueter - 11 5.1 2.6 1.0 0.2 0.4 0.1 0.2 1.9 2.2 18 1.5 164.9 42.9 33.3 81.8 0.07 56.1 47.6
Abbey Inda - 15 11.5 2.3 1.5 0.7 0.6 0.4 0.3 2.5 2.6 26 1.3 18.4 34.2 22.2 54.5 -0.54 39.7 36.8
Hope Barington - 15 5.3 2.0 0.9 0.3 0.3 0.0 0.3 1.2 1.9 0 0.0 0.0 50.0 50.0 64.7 -1.77 58.9 52.8
Adahlyn Hoerl - 3 3.2 1.3 1.3 0.0 0.0 0.0 0.0 2.0 0.7 - - - 33.3 0 0.0 - 31.1 33.3
Addie Hefel - 7 2.6 1.1 0.9 0.1 0.0 0.0 0.3 0.6 1.3 13 1.9 421.6 50.0 66.7 33.3 -0.01 60.2 75.0
Megan Geason - 7 2.8 1.0 0.3 0.1 0.1 0.0 0.1 0.3 1.1 - - - 50.0 0 71.4 - 68.9 50.0
Jada Aliesa - 8 4.4 0.9 0.6 0.2 0.1 0.1 0.1 1.2 0.6 18 2.6 60.8 30.0 0.0 33.3 0.23 30.9 30.0
Mallory Lindsey - 11 5.7 0.9 0.5 0.4 0.1 0.1 0.2 1.0 0.8 27 2.5 112.9 27.3 20.0 100.0 -0.24 42.1 36.4
Ella Francois - 6 2.2 0.7 0.2 0.3 0.2 0.0 0.0 0.5 0.8 - - - 0.0 0.0 100.0 - 42.0 0.0
Addie Post - 7 2.2 0.3 0.1 0.3 0.3 0.0 0.3 0.3 0.4 5 0.8 923.1 50.0 0 0 -0.01 50.0 50.0
Ashlyn Knapp - 7 4.3 0.0 0.6 0.4 0.6 0.0 0.6 0.6 0.4 -1 -0.1 -19.4 0.0 0.0 0 -0.05 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