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Wis.-Parkside

Also known as: Wis.-Parkside
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 โ†’ 952 (#185) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1018 (#156) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 947 (#487) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +7.7 (#129) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +3.4 (#269) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.595 (#129) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +51.5 More โ†’ 0.995 (#65) NetEff +51.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.2 More โ†’ 0.879 (#51) AdjNet +17.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.3 More โ†’ 0.883 (#53) AdjNet +17.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 78.0 | AdjD 64.8 More โ†’ 0.769 (#50) AdjO 78.0 | AdjD 64.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.5 | AdjD 73.1 More โ†’ 0.509 (#280) AdjO 73.5 | AdjD 73.1
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 โ†’ 0.560 (#275) 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 โ†’ 0.541 (#279) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 89 | GP 23 More โ†’ 982 (#248) RD 89 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Upper Iowa L 69 - 78
2025-11-15 vs Ill. Springfield W 95 - 77
2025-11-18 vs Bethel (MN) W 95 - 61
2025-11-22 vs Winona St. W 77 - 70
2025-12-04 vs Northern Mich. L 78 - 82
2025-12-06 vs Michigan Tech L 54 - 69
2025-12-13 @ Mo.-St. Louis L 56 - 61
2025-12-16 vs UIndy W 83 - 81
2025-12-20 @ Lewis W 73 - 54
2026-01-01 vs Roosevelt W 77 - 74
2026-01-05 @ Ferris St. L 72 - 74
2026-01-08 vs Lake Superior St. W 79 - 72
2026-01-10 vs Saginaw Valley W 87 - 81
2026-01-15 @ Wayne St. (MI) L 78 - 82
2026-01-17 @ Purdue Northwest L 61 - 82
2026-01-19 vs Edgewood - Incomplete score
2026-01-22 vs Grand Valley St. - Incomplete score
2026-01-24 vs Davenport - Incomplete score
2026-01-29 @ Saginaw Valley L 77 - 85
2026-01-31 @ Lake Superior St. L 65 - 106
2026-02-05 @ Roosevelt L 70 - 80
2026-02-07 vs Ferris St. W 82 - 63
2026-02-12 @ Davenport W 77 - 71
2026-02-14 @ Grand Valley St. L 57 - 73
2026-02-19 vs Purdue Northwest L 70 - 78
2026-02-21 vs Wayne St. (MI) W 77 - 66
2026-02-26 @ Michigan Tech L 65 - 68
2026-02-28 @ Northern Mich. L 75 - 98

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Paxton Warden - 26 32.8 18.7 4.2 2.3 0.7 0.0 2.1 13.7 10.0 -61 23 -2.7 -3.5 45.5 34.4 70.9 0.25 56.7 51.8
Luka Mateski - 25 28.9 16.7 4.8 1.6 0.8 0.3 2.7 9.8 11.6 -35 24 -1.5 -2.2 45.3 25.5 87.4 1.73 62.0 48.2
Josiah Palmer - 24 28.9 11.8 2.0 3.1 0.7 0.1 1.8 9.0 6.9 22 22 1.0 1.5 41.9 39.1 86.0 2.24 59.4 55.5
Fawaz Surakat - 27 24.6 7.3 7.1 1.3 0.8 1.9 1.7 4.6 12.1 9 24 0.4 0.7 61.3 0.0 51.1 3.27 60.5 61.3
Logan Zahour - 18 12.7 5.2 2.6 0.3 0.6 0.0 0.7 4.4 3.5 -19 13 -1.5 -5.9 36.2 33.3 86.4 -1.96 51.9 46.2
Ethan Ivan - 26 20.3 4.7 2.0 0.7 0.3 0.0 0.4 3.8 3.5 -63 24 -2.6 -5.5 43.0 38.4 63.6 -2.55 57.7 57.0
Jake Dunham - 10 9.4 4.2 1.3 0.1 0.4 0.1 0.3 2.3 3.5 -2 5 -0.4 -1.4 65.2 50.0 87.5 -0.3 79.2 76.1
Braden McGlothlin - 26 22.2 3.9 2.5 2.2 1.3 0.1 0.9 3.9 5.1 -65 24 -2.7 -5.3 33.3 31.8 60.0 -2.04 45.6 43.6
Zach Behn - 23 14.2 3.4 2.1 1.0 0.3 0.0 0.6 3.3 3.0 -28 19 -1.5 -4.9 33.3 26.7 80.0 -2.68 46.5 41.3
Jack Rose - 21 14.5 3.3 1.5 0.7 0.5 0.2 0.5 3.6 2.0 -49 18 -2.7 -8.2 31.6 26.0 81.8 -1.97 43.3 40.1
Andrew Soenksen - 12 6.4 3.2 3.3 0.3 0.1 0.2 0.2 2.6 4.3 3 8 0.4 3.0 41.9 33.3 61.5 -0.31 51.7 48.4
Raphael Nagau Trouart - 19 14.0 2.9 3.0 0.4 0.2 0.3 0.8 2.5 3.4 -61 18 -3.4 -10.8 54.2 0.0 25.0 -2.95 51.6 54.2
Hudson Kirby - 3 8.4 2.3 2.3 0.0 0.3 0.3 0.7 2.7 2.0 - - - - 25.0 0.0 75.0 -1.46 35.9 25.0
Matas Castillo - 12 6.8 1.3 0.8 0.8 0.3 0.1 0.4 1.0 1.8 -31 12 -2.6 -23.9 25.0 0.0 83.3 -5.33 46.3 25.0
Alex Daniels - 5 3.5 1.2 0.2 0.8 0.2 0.2 0.0 0.6 2.0 - - - - 0.0 0 46.2 0.07 34.4 0.0
Liam Lubkeman - 2 9.8 1.0 2.0 1.0 0.0 1.0 0.0 1.0 4.0 - - - - 50.0 0 0 -0.98 50.0 50.0
Sam Lootens - 7 5.5 0.7 0.3 0.1 0.0 0.1 0.0 1.1 0.1 - - - - 25.0 20.0 0 -0.26 31.2 31.2

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