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Wis.-Platteville

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Wis.-Platteville
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 → 1276 (#25) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1331 (#18) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1207 (#23) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +21.3 (#39) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +19.2 (#122) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.575 (#424) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.4 More → 0.784 (#233) NetEff +9.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.6 More → 0.939 (#178) AdjNet +23.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +23.8 More → 0.942 (#177) AdjNet +23.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.8 | AdjD 55.2 More → 0.774 (#190) AdjO 68.8 | AdjD 55.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.8 | AdjD 50.6 More → 0.800 (#62) AdjO 65.8 | AdjD 50.6
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 → 0.873 (#86) 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 → 0.873 (#76) 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 → 1382 (#13) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Loras - Incomplete score
2025-11-14 @ Whitworth - Incomplete score
2025-11-15 @ Whitman - Incomplete score
2025-11-21 @ Dubuque - Incomplete score
2025-11-25 vs Ripon - Incomplete score
2025-11-29 vs Simpson - Incomplete score
2025-11-30 vs Grinnell - Incomplete score
2025-12-13 @ Wis. Lutheran - Incomplete score
2025-12-20 @ Trine - Incomplete score
2026-01-10 @ Wis.-La Crosse - Incomplete score
2026-01-14 vs Wis.-Oshkosh - Incomplete score
2026-01-17 @ Wis.-Stevens Point - Incomplete score
2026-01-21 @ Wis.-Whitewater - Incomplete score
2026-01-24 vs UW-River Falls - Incomplete score
2026-01-28 vs Wis.-Stevens Point - Incomplete score
2026-02-04 @ Wis.-Oshkosh - Incomplete score
2026-02-07 vs Wis.-La Crosse - Incomplete score

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%
Ella Mackiewicz - 17 30.1 17.3 6.0 1.6 2.2 1.1 2.6 14.1 11.5 59 2.8 14.8 46.4 36.6 70.8 2.18 54.9 51.9
Madalyn Reichmann - 16 19.3 7.9 2.6 1.7 0.8 0.1 1.9 7.4 3.7 33 1.6 11.2 41.2 32.4 63.0 2.3 48.5 46.2
Tatum Weir - 17 21.0 7.6 3.7 0.7 0.4 0.5 1.2 7.2 4.5 15 0.7 5.6 45.1 21.1 75.0 1.13 49.3 46.7
Ashley Weir - 17 25.8 7.6 5.2 1.8 0.9 0.2 1.1 6.5 8.1 12 0.6 3.8 40.5 33.3 72.7 -0.42 51.4 47.3
Alexis Strom - 17 18.9 3.8 2.6 1.3 1.4 0.2 1.6 4.5 3.1 24 1.1 12.6 26.0 15.4 60.0 1.84 35.2 28.6
Ava Hanson - 17 24.7 3.6 3.1 1.4 1.0 0.2 0.9 4.0 4.3 42 2.0 12.8 30.9 13.3 72.0 0.25 39.2 32.4
Grace Groezinger - 12 14.2 3.6 2.3 0.4 0.5 0.7 1.0 4.4 2.1 7 0.5 4.9 32.1 20.0 57.1 0.94 36.3 33.0
Caitlyn Strom - 17 14.0 3.6 3.1 0.5 0.6 0.1 1.5 3.6 2.9 44 2.1 25.4 34.4 40.0 63.6 2.22 43.9 39.3
Macie Neumeister - 9 4.8 2.1 0.3 0.4 0.3 0.0 0.2 1.2 1.8 1 0.1 34.8 54.5 50.0 100.0 -0.31 80.0 77.3
Barb Kling - 17 14.8 1.9 1.6 0.7 0.4 0.2 0.7 1.8 2.4 27 1.3 15.6 30.0 35.3 80.0 2.62 46.5 40.0
Taliah DeGroot - 14 8.6 1.8 1.1 0.2 0.2 0.1 0.9 1.6 0.8 10 0.6 10.9 39.1 25.0 66.7 0.08 48.8 45.7
Jenna Gansen - 9 3.0 1.4 0.6 0.2 0.1 0.0 0.4 1.2 0.7 -3 -0.2 -50.0 45.5 33.3 100.0 -0.91 54.7 50.0
Chloe Van Horn - 5 2.8 1.0 0.4 0.2 0.4 0.0 0.2 1.2 0.6 -6 -1.2 -900.0 33.3 50.0 0 - 41.7 41.7
Lauren Kojo - 5 4.9 1.0 0.6 0.0 0.2 0.2 0.2 1.4 0.4 - - - 28.6 0 50.0 -1.38 31.7 28.6
Reese Watson - 10 6.8 0.8 1.5 0.3 0.1 0.0 0.4 1.0 1.3 14 1.3 100.0 30.0 25.0 0 -0.38 40.0 40.0
Dayna Carr - 6 4.2 0.7 1.5 0.0 0.5 0.2 0.2 1.0 1.7 - - - 16.7 0 100.0 -2.07 29.1 16.7
Lauren Sparks - 10 7.0 0.5 1.6 0.2 0.0 0.0 0.8 0.9 0.6 -2 -0.2 -2.1 22.2 0.0 50.0 0.09 25.3 22.2
Ava Hoppert - 1 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -2 -2.0 -53.9 0 0 0 - 0 0
Lizzie Poller - 4 2.1 0.0 0.2 0.0 0.0 0.0 0.2 0.0 0.0 -7 -1.8 -128.2 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