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Wis.-Stout

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 → 1031 (#249) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1115 (#130) -
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 +2.4 More → +15.2 (#74) HCA +2.4
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 100 | GP 22 More → 1105 (#150) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Ripon - Incomplete score
2025-11-09 vs Lakeland - Incomplete score
2025-11-12 vs Bethel (MN) - Incomplete score
2025-11-16 @ Concordia-M'head - Incomplete score
2025-11-18 vs Maranatha Baptist - Incomplete score
2025-11-25 @ Hamline - Incomplete score
2025-11-30 @ St. Thomas (MN) - Incomplete score
2025-12-03 @ Bethany Lutheran - Incomplete score
2025-12-06 @ Wis.-Superior - Incomplete score
2025-12-13 vs Augsburg - Incomplete score
2025-12-29 @ Dubuque - Incomplete score
2025-12-30 @ Loras - Incomplete score
2026-01-03 @ Wis.-Platteville - Incomplete score
2026-01-07 @ UW-River Falls - Incomplete score
2026-01-10 vs Wis.-Eau Claire - Incomplete score
2026-01-14 @ Wis.-Stevens Point - Incomplete score
2026-01-17 vs Wis.-Whitewater - Incomplete score
2026-01-21 @ Wis.-La Crosse - Incomplete score
2026-01-24 vs Wis.-Oshkosh - Incomplete score
2026-01-28 @ Wis.-Eau Claire - Incomplete score
2026-02-04 vs Wis.-Stevens Point - Incomplete score
2026-02-07 @ Wis.-Whitewater - 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%
Addy Verhagen - 21 30.3 11.9 3.8 4.1 1.4 0.2 2.7 9.5 9.2 -32 -1.5 -8.3 44.0 38.6 74.0 -3.43 53.4 48.2
Mary Berg - 21 32.0 9.3 2.7 2.7 1.7 0.1 2.0 8.3 6.1 3 0.1 0.7 36.6 35.5 93.5 1.41 51.7 47.4
Brooklynn Birt - 19 17.3 8.6 5.2 0.6 0.8 0.5 1.6 6.9 7.2 56 3.1 37.0 49.2 25.0 67.4 1.31 53.5 50.0
Julia Rybacki - 20 14.7 7.0 3.0 0.7 1.1 0.2 1.6 6.5 4.0 70 3.5 32.6 45.7 40.0 50.0 2.7 47.7 46.5
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 2.93 59.5 60.0
Maraya Wiltrout - 19 14.6 6.7 4.2 0.9 0.7 0.3 0.4 6.0 6.4 17 0.9 11.8 47.4 14.3 56.2 0.66 49.6 47.8
Rosella Wille - 21 27.2 6.5 5.4 2.3 1.8 0.1 2.6 5.1 8.4 -2 -0.1 -0.6 48.6 41.7 71.0 1.12 56.4 53.3
Grace Schisel - 19 17.2 6.2 1.7 0.8 0.7 0.0 1.6 6.4 1.4 10 0.5 5.5 26.2 23.7 87.8 -1.31 42.1 33.6
Eleice Dahl - 21 23.4 4.5 2.6 1.7 1.2 0.0 2.0 4.4 3.7 0 0.0 0.0 37.0 35.9 66.7 2.03 47.0 44.6
Olivia Johnson - 16 8.9 4.4 2.9 0.4 0.1 0.5 0.8 3.7 3.8 11 0.7 8.4 52.5 0 47.4 0.01 52.7 52.5
Madison Malecha - 17 9.3 2.6 1.1 0.4 0.4 0.2 0.9 2.7 1.1 3 0.2 2.3 39.1 0.0 52.9 0.27 42.1 39.1
Emily Coonrod - 13 6.5 1.5 0.8 0.2 0.3 0.0 0.5 1.6 0.8 46 3.8 163.1 33.3 25.0 100.0 2.71 45.7 42.9
Allison Wokatsch - 12 5.5 1.2 0.7 0.3 0.4 0.1 0.3 2.0 0.4 14 1.2 23.3 20.8 17.6 100.0 -1.19 30.1 27.1
Molly Garber - 8 2.3 1.1 0.6 0.0 0.2 0.0 0.0 0.6 1.4 21 2.6 189.5 60.0 0.0 75.0 - 66.6 60.0
Lucy Nichols - 6 3.9 1.0 0.2 0.3 0.5 0.2 0.2 1.3 0.7 26 4.3 487.5 25.0 33.3 0 - 37.5 37.5
Molly Bills - 15 4.8 0.7 0.3 0.4 0.4 0.0 0.4 1.3 0.1 22 1.5 60.8 21.1 16.7 0 1.48 26.3 26.3
Jordyn Derlein - 8 3.0 0.1 0.6 0.2 0.1 0.0 0.1 0.2 0.8 27 3.4 243.6 0.0 0.0 50.0 0.37 17.4 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