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Wis.-Eau Claire

Also known as: Wis.-Eau Claire
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 → 1071 (#104) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1177 (#68) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 994 (#476) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +19.4 (#33) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +9.1 (#218) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.353 (#517) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.1 More → 0.696 (#280) NetEff +6.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +18.1 More → 0.890 (#220) AdjNet +18.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.2 More → 0.895 (#217) AdjNet +18.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.1 | AdjD 57.7 More → 0.720 (#223) AdjO 68.1 | AdjD 57.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 59.7 More → 0.654 (#174) AdjO 66.7 | AdjD 59.7
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 → 0.688 (#226) 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 → 0.682 (#232) 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 → 1139 (#112) RD 100 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Lakeland W 83 - 52
2025-11-09 vs Ripon L 73 - 78
2025-11-12 @ Saint Benedict W 61 - 60
2025-11-14 @ Minnesota St. L 49 - 91
2025-11-18 vs St. Scholastica W 85 - 58
2025-11-22 @ Simpson W 87 - 75
2025-11-25 @ St. Norbert W 70 - 63
2025-11-29 vs Minn.-Morris W 84 - 73
2025-12-01 vs Martin Luther W 94 - 43
2025-12-13 @ Gustavus Adolphus W 61 - 46
2025-12-29 @ East Tex. Baptist W 75 - 69
2025-12-30 vs Mary Hardin-Baylor W 53 - 41
2026-01-10 @ Wis.-Stout L 70 - 72
2026-01-14 vs UW-River Falls L 52 - 71
2026-01-17 @ Wis.-La Crosse L 55 - 77
2026-01-21 @ Wis.-Oshkosh L 52 - 64
2026-01-24 vs Wis.-Whitewater L 48 - 65
2026-01-28 vs Wis.-Stout W 77 - 60
2026-02-04 @ UW-River Falls L 61 - 68
2026-02-07 @ Wis.-Stevens Point L 55 - 69

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%
Kyla Overskei - 20 32.4 16.5 5.5 1.5 0.8 0.2 3.0 15.0 6.5 -34 -1.5 -7.2 36.7 32.7 83.1 0.43 49.8 45.2
Reanna Hutchinson - 20 28.1 11.8 3.3 1.1 1.6 0.2 2.5 11.1 4.5 -29 -1.3 -6.2 41.4 30.0 67.4 0.83 49.2 46.8
Olivia Witkowski - 20 20.2 7.9 4.5 1.0 0.8 0.4 2.0 6.1 6.5 -14 -0.6 -4.8 45.9 18.2 67.7 2.76 52.5 46.7
Delaney Nyenhuis - 20 23.9 6.2 8.4 1.9 2.8 0.5 1.7 6.2 11.8 28 1.3 8.6 36.8 20.0 50.8 3.01 40.7 37.2
Britta DeMar - 19 22.3 6.0 2.0 1.7 1.0 0.2 2.1 5.6 3.2 -7 -0.3 -2.8 40.2 39.3 70.8 -1.94 48.5 45.3
Macie Miller - 20 14.5 3.6 0.8 1.1 0.5 0.1 1.6 3.0 1.6 -80 -3.6 -33.2 37.7 52.9 81.8 2.85 51.6 45.1
Kayla Diedrich - 1 9.5 3.0 2.0 1.0 0.0 0.0 0.0 3.0 3.0 - - - 33.3 50.0 0 - 50.0 50.0
Sophie Hafeman - 19 8.0 2.9 0.9 0.5 0.2 0.2 0.7 2.4 1.5 -19 -0.9 -17.2 43.5 36.4 64.7 0.59 51.4 47.8
Emily Vogel - 18 11.3 2.8 2.2 0.4 0.9 0.2 0.9 3.4 2.2 -3 -0.1 -1.5 32.8 0.0 62.5 -0.01 36.7 32.8
Kailey Tulachka - 20 11.6 2.5 2.8 0.7 0.8 0.5 0.6 3.0 3.6 -94 -4.3 -35.7 38.3 0.0 55.6 -2.37 39.9 38.3
Emma Donovan - 15 8.8 2.4 2.3 0.3 0.5 0.1 0.8 2.3 2.5 -66 -3.9 -85.6 52.9 0.0 0.0 -0.19 52.3 52.9
Paige Keller - 20 8.6 2.1 1.1 0.6 0.5 0.1 0.6 2.0 1.8 -47 -2.2 -38.7 37.5 46.2 50.0 -0.22 52.6 52.5
Karsyn Bauman - 18 8.6 2.1 2.3 0.3 0.5 0.1 0.6 2.2 2.5 -50 -2.5 -31.6 32.5 20.0 81.8 -1.07 42.4 36.2
Montana Groskreutz - 1 5.7 2.0 4.0 1.0 1.0 0.0 1.0 3.0 4.0 - - - 33.3 0 0.0 - 29.1 33.3
Abby Bloch - 7 2.3 1.1 1.0 0.0 0.0 0.1 0.1 0.9 1.3 -6 -1.2 -70.9 50.0 0.0 100.0 -0.19 58.1 50.0
Sydney Subke - 6 3.5 0.8 0.0 0.2 0.7 0.0 0.3 1.7 -0.3 -4 -0.8 -16.9 20.0 12.5 0 -0.19 25.0 25.0
Marin Wilson - 6 3.2 0.7 1.7 0.0 0.2 0.2 0.2 0.7 1.8 - - - 50.0 0 0.0 -0.89 41.0 50.0
Reese Grimm - 10 6.0 0.7 0.4 0.2 0.4 0.0 0.5 0.7 0.5 -6 -0.6 -10.5 42.9 50.0 0 0.18 50.0 50.0
Kate Roeber - 6 1.9 0.7 0.2 0.2 0.2 0.0 0.7 1.0 -0.5 -2 -0.4 -30.4 16.7 0.0 50.0 -0.15 25.8 16.7
Kasey Stelpflug - 7 1.9 0.6 0.4 0.0 0.1 0.0 0.0 0.6 0.6 -17 -2.8 -784.6 50.0 0 0 0.04 50.0 50.0
Elly Eiler - 1 12.1 0.0 4.0 1.0 0.0 0.0 2.0 1.0 2.0 - - - 0.0 0.0 0 - 0.0 0.0
Lauren Meudt - 1 2.6 0.0 0.0 0.0 1.0 0.0 0.0 3.0 -2.0 - - - 0.0 0 0 - 0.0 0.0
Ellie Edberg - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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