🐻⬇️🏀

Wis. Lutheran

Also known as: Wis. Lutheran
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 → 1028 (#177) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1161 (#80) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1169 (#41) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +20.9 (#24) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.7 (#165) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.919 (#226) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +15.0 More → 0.879 (#180) NetEff +15.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.2 More → 0.929 (#185) AdjNet +22.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.0 More → 0.931 (#186) AdjNet +22.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.5 | AdjD 53.1 More → 0.756 (#202) AdjO 65.5 | AdjD 53.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 52.0 More → 0.803 (#58) AdjO 67.4 | AdjD 52.0
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 → 0.849 (#106) 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 → 0.850 (#98) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More → 1217 (#61) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Trine W 66 - 64
2025-11-14 vs Gustavus Adolphus W 69 - 54
2025-11-15 vs Wartburg W 67 - 53
2025-11-18 vs Marian (WI) W 90 - 29
2025-11-25 @ Loras L 60 - 63
2025-12-03 vs Aurora W 62 - 46
2025-12-13 vs Wis.-Platteville L 57 - 63
2025-12-20 @ Milwaukee L 52 - 76
2025-12-28 vs Messiah L 54 - 55
2025-12-29 vs Ill. Wesleyan W 71 - 61
2026-01-10 vs Concordia Wisconsin W 58 - 45
2026-01-14 @ St. Norbert L 53 - 64
2026-01-17 @ Benedictine (IL) W 71 - 64
2026-01-21 vs Lakeland W 88 - 61
2026-01-24 vs Rockford W 81 - 38
2026-01-28 vs MSOE W 59 - 54
2026-01-31 @ Illinois Tech W 70 - 29
2026-02-04 @ Aurora W 70 - 64
2026-02-07 vs Concordia Chicago W 92 - 41

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%
Margie Stevens - 19 25.4 14.0 4.6 1.3 1.6 0.7 2.6 13.0 6.5 85 4.5 29.9 41.3 30.2 73.5 2.79 49.5 46.6
Kenly Frey - 19 29.9 12.6 3.1 2.8 1.4 0.1 2.3 11.3 6.4 14 0.7 3.8 37.4 29.0 76.8 8.36 49.1 43.7
Abby Cole - 19 22.9 9.7 6.4 1.3 1.1 0.3 2.1 6.7 9.9 60 3.0 19.2 51.6 38.9 63.9 0.93 59.7 57.0
Madeline Leffel - 13 20.9 9.0 3.4 1.3 1.4 0.3 1.8 8.5 5.1 1 0.1 0.4 38.2 28.3 69.2 -0.5 48.2 45.0
Jayden Hill - 19 24.4 7.8 8.2 2.4 2.3 0.2 1.3 7.2 12.4 65 3.2 22.4 47.8 0.0 56.2 3.9 49.3 47.8
Maddie Ratzow - 19 17.0 6.9 3.7 0.5 0.6 0.1 0.9 5.1 5.8 11 0.6 5.9 48.5 30.8 70.2 1.67 55.7 50.5
Lily Oiler - 19 28.6 2.7 1.9 1.8 0.7 0.2 1.3 2.5 3.5 75 3.8 22.6 37.5 30.4 80.0 1.47 48.7 44.8
Eleanor Wendorff - 5 6.2 2.6 0.8 0.2 0.6 0.0 1.2 2.2 0.8 9 1.3 22.8 54.5 33.3 0 -0.81 59.1 59.1
Madeline Maloney - 5 4.4 2.4 1.4 0.0 0.0 0.0 0.6 1.6 1.6 -9 -1.8 -25.2 62.5 33.3 100.0 2.09 71.1 68.8
Abbie Cropsey - 13 6.0 2.2 2.4 0.1 0.2 0.0 0.5 1.3 3.0 -24 -1.7 -32.6 64.7 0 54.5 -1.09 64.1 64.7
Alexis Beger - 18 15.6 2.0 1.6 0.7 0.4 0.2 1.2 2.1 1.6 52 2.7 30.8 36.8 25.0 75.0 1.1 43.4 39.5
Lauren Riesop - 13 7.1 2.0 0.5 0.2 0.3 0.2 0.5 2.2 0.5 56 4.0 117.0 35.7 27.8 25.0 2.54 43.7 44.6
Violet Meskan - 1 7.3 2.0 1.0 0.0 0.0 1.0 0.0 4.0 0.0 - - - 25.0 0.0 0 - 25.0 25.0
Raeanne Nevad - 5 3.6 1.6 0.4 0.2 0.0 0.0 0.2 1.4 0.6 -22 -4.4 -73.1 28.6 50.0 100.0 -1.12 50.8 42.9
Taylor Ignatowski - 10 7.9 1.3 0.7 0.8 0.1 0.0 0.2 1.7 1.0 40 3.6 76.6 29.4 33.3 0 0.84 38.2 38.2
Courtney Park - 6 5.7 0.8 1.0 0.2 0.0 0.0 0.7 1.7 -0.3 17 2.4 28.4 20.0 33.3 0 -1.41 25.0 25.0
Jillian Scharlau - 4 5.9 0.8 0.8 0.8 0.0 0.0 0.5 1.0 0.8 12 3.0 24.6 25.0 0.0 25.0 0.01 26.0 25.0
Mollie Murphy - 5 5.6 0.6 0.6 0.6 0.4 0.0 0.0 0.2 2.0 -2 -0.4 -4.9 100.0 0 50.0 0.61 79.8 100.0
Gianna Guarascio - 5 4.3 0.4 0.6 0.4 0.0 0.0 0.0 1.0 0.4 -3 -0.5 -7.5 20.0 0.0 0 -1.23 20.0 20.0
Kiera Schroeder - 5 4.2 0.2 2.0 0.8 0.2 0.0 0.4 0.2 2.6 -6 -1.2 -16.6 0.0 0 50.0 0.49 26.6 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