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Marian (WI)

Also known as: Marian (WI)
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 → 871 (#436) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 674 (#583) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 799 (#691) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -24.0 (#377) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -27.9 (#664) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.072 (#649) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -26.3 More → 0.022 (#543) NetEff -26.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -29.8 More → 0.031 (#630) AdjNet -29.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -29.8 More → 0.028 (#629) AdjNet -29.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 55.4 | AdjD 74.4 More → 0.151 (#628) AdjO 55.4 | AdjD 74.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 49.8 | AdjD 70.2 More → 0.135 (#692) AdjO 49.8 | AdjD 70.2
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 → 0.062 (#687) 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 → 0.067 (#690) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 21 More → 633 (#563) RD 112 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Dubuque L 67 - 74
2025-11-14 @ UChicago L 29 - 84
2025-11-15 @ Tufts L 51 - 84
2025-11-18 @ Wis. Lutheran L 29 - 90
2025-11-21 @ Lawrence L 46 - 71
2025-12-03 @ Concordia Wisconsin L 65 - 90
2025-12-06 vs Edgewood L 54 - 79
2025-12-12 @ Cornell College L 38 - 81
2025-12-16 @ Maranatha Baptist W 93 - 23
2025-12-29 vs Lakeland L 52 - 60
2025-12-31 @ North Central (MN) L 75 - 84
2026-01-03 @ Benedictine (IL) L 50 - 88
2026-01-07 vs St. Norbert L 45 - 71
2026-01-10 vs Dominican (IL) L 51 - 69
2026-01-14 @ Lakeland L 43 - 57
2026-01-17 @ Rockford L 48 - 60
2026-01-21 @ MSOE L 39 - 87
2026-01-24 vs Illinois Tech W 65 - 47
2026-01-31 @ Aurora L 40 - 102
2026-02-04 @ Edgewood L 50 - 64
2026-02-07 vs Benedictine (IL) L 47 - 76

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%
Chelsea King - 20 26.9 11.9 4.2 1.3 1.9 0.2 3.6 14.5 1.6 -219 -10.9 -68.2 31.4 23.4 54.8 -0.87 38.7 37.2
Ava Kreger - 19 19.2 6.8 2.1 1.4 0.4 0.1 2.7 7.4 0.7 -69 -3.6 -53.7 30.0 21.5 63.6 -2.07 40.5 36.1
Taycee Schwanke - 21 18.7 5.3 1.6 0.1 0.4 0.0 1.8 4.3 1.3 -162 -7.7 -73.7 44.4 26.3 65.6 -1.07 53.3 50.0
Emily Eastham - 21 26.4 5.0 5.9 2.0 1.3 0.0 1.9 5.0 7.4 -205 -9.8 -57.7 37.1 28.6 78.3 -2.09 46.0 41.9
Holly Goodwin - 21 19.5 5.0 2.0 1.0 1.5 0.6 2.0 4.6 3.4 -118 -5.6 -40.7 38.1 20.7 77.4 0.53 47.0 41.2
Jon'Niyah Akins - 21 19.3 3.8 2.0 1.5 1.2 0.0 2.5 6.5 -0.5 -188 -9.0 -59.0 23.4 11.8 47.8 0.96 26.8 24.8
Nyedeng Awak - 21 19.8 3.4 5.9 0.7 0.2 1.1 1.7 3.3 6.3 -176 -8.4 -72.8 40.0 25.0 33.3 -3.52 40.1 40.7
Emma Wiete - 2 8.8 3.0 1.0 0.5 0.0 0.0 1.0 2.5 1.0 -26 -8.7 -79.8 60.0 0.0 0 -1.47 60.0 60.0
Cassandra Arndt - 20 14.2 2.9 3.1 0.2 0.4 0.1 1.1 3.2 2.5 -70 -3.5 -85.9 31.2 29.0 80.0 -2.3 41.7 38.3
Taj Hanserd - 14 14.0 2.9 2.3 1.1 0.4 0.2 2.7 4.0 0.1 -104 -7.4 -64.8 21.4 20.0 92.9 -1.27 33.0 25.0
Dasha Yeltysheva - 18 10.6 2.8 1.2 0.7 0.3 0.0 1.3 3.2 0.4 -77 -4.3 -58.5 33.3 36.4 88.9 -4.08 41.0 36.8
Brianna Guelig - 15 13.6 2.5 2.9 0.7 0.9 0.1 1.3 2.5 3.3 -38 -2.4 -26.8 35.1 38.5 75.0 0.04 45.7 41.9
Cheyenne Tyciak - 6 4.9 2.5 0.3 0.3 0.0 0.0 0.3 1.3 1.5 - - - 37.5 0.0 75.0 - 56.5 37.5
Ryleigh Woodson - 7 7.0 1.4 1.6 0.0 0.3 0.6 0.7 2.3 0.9 -32 -4.6 -52.7 31.2 0 0.0 -2.21 30.4 31.2
Taylor Ptacek - 11 6.3 1.2 1.2 0.2 0.2 0.0 0.5 1.2 1.1 -25 -2.3 -94.0 38.5 60.0 0 -1.1 50.0 50.0
Kaitlin Leonard - 11 7.3 0.7 0.5 0.0 0.5 0.0 0.4 1.9 -0.5 -1 -0.1 -10.5 14.3 13.3 0 -0.01 19.0 19.0

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