🐻⬇️🏀

Whitman

Also known as: Whitman
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 → 886 (#551) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 896 (#499) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 928 (#638) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -11.3 (#273) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -9.8 (#526) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.562 (#428) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.2 More → 0.410 (#395) AdjNet -3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.4 More → 0.403 (#395) AdjNet -3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.7 | AdjD 75.2 More → 0.442 (#399) AdjO 72.7 | AdjD 75.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 70.5 More → 0.402 (#581) AdjO 66.1 | AdjD 70.5
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 → 0.280 (#591) 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 → 0.298 (#587) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 22 More → 889 (#486) RD 97 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Idaho L 49 - 94
2025-11-12 @ Walla Walla W 87 - 74
2025-11-15 vs Bethany (WV) W 89 - 84
2025-11-21 @ Cal Lutheran L 59 - 71
2025-11-22 @ Pomona-Pitzer L 52 - 57
2025-11-24 @ Caltech W 83 - 70
2025-12-04 vs Mary Hardin-Baylor L 75 - 90
2025-12-06 vs Belhaven L 73 - 92
2025-12-13 vs Walla Walla W 86 - 76
2025-12-20 vs Northwest Indian W 107 - 55
2026-01-02 vs Pacific (OR) W 92 - 88
2026-01-03 vs Willamette L 55 - 58
2026-01-06 vs Whitworth L 57 - 87
2026-01-09 @ Linfield L 62 - 65
2026-01-16 @ Lewis & Clark L 61 - 78
2026-01-17 @ George Fox W 93 - 88
2026-01-23 vs Pacific Lutheran L 66 - 72
2026-01-24 vs Puget Sound L 56 - 58
2026-01-30 @ Willamette W 82 - 79
2026-01-31 @ Pacific (OR) L 60 - 67
2026-02-03 @ Whitworth L 46 - 80
2026-02-07 vs Linfield W 64 - 40

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%
Ali Efe Isik - 21 27.9 14.0 4.9 2.9 1.1 0.4 2.6 10.4 10.2 -73 -3.6 -21.1 47.5 31.4 75.0 -1.19 56.5 51.1
Jacob Fotu - 21 21.8 10.7 4.0 2.3 0.8 0.3 2.1 9.0 6.9 -33 -1.7 -10.8 47.9 34.8 55.9 2.02 54.6 53.9
Milos Sarenac - 16 21.3 10.5 8.5 2.1 0.6 0.2 1.9 7.8 12.2 20 1.3 19.6 44.4 29.4 74.6 0.11 54.1 46.4
Djordje Lazarevic - 17 26.5 8.3 3.2 2.1 1.2 0.1 1.6 7.7 5.5 -6 -0.4 -1.7 37.4 27.1 65.4 0.54 49.5 47.3
Marcel Elicagaray - 20 21.9 7.2 2.7 1.1 0.7 0.0 1.1 5.9 4.8 -38 -2.0 -9.4 37.3 38.3 73.5 -2.2 54.2 50.4
Ken Higgins - 21 21.4 7.0 2.3 0.8 0.5 0.0 0.7 6.2 3.7 -19 -0.9 -5.1 38.2 35.3 66.7 1.01 53.1 51.9
Bernard Dzesi - 17 17.0 5.8 4.2 1.5 0.6 0.2 1.9 4.5 5.9 -18 -1.1 -13.7 51.9 22.2 50.0 -0.95 54.9 54.5
Sarp Gokberk - 20 23.7 4.7 4.3 2.0 0.6 0.1 1.8 3.5 6.6 -40 -2.2 -13.7 58.0 40.0 42.9 3.19 57.8 59.4
Mehmet Bener - 17 11.9 4.4 0.4 1.0 0.4 0.1 1.4 3.4 1.4 -68 -4.2 -593.5 43.1 39.6 85.7 -0.27 61.4 59.5
Julian Witt - 16 13.3 3.1 2.4 0.5 0.4 0.1 1.1 2.3 3.1 -9 -0.6 -4.1 48.6 22.2 76.9 0.15 58.5 54.1
Luke Johnson - 14 10.0 2.4 1.5 0.4 0.4 0.1 0.1 2.2 2.4 12 0.9 9.5 32.3 30.4 75.0 -0.42 47.8 43.5
Xavier Santana - 10 12.1 2.3 2.7 1.5 0.6 0.0 1.4 2.7 3.0 16 1.6 18.3 33.3 29.4 0 1.18 42.6 42.6
Aidan Rausch - 7 5.7 1.9 1.1 0.3 0.1 0.0 0.0 1.1 2.3 - - - 62.5 66.7 100.0 - 77.0 75.0
Duke Gordon - 4 6.8 1.8 0.8 0.0 0.2 0.0 0.8 2.0 0.0 -13 -3.2 -38.9 12.5 12.5 100.0 -1.81 35.9 18.8
Campbell Horning - 2 6.3 1.0 1.5 0.5 0.0 0.0 0.5 0.0 2.5 - - - 0 0 100.0 - 113.6 0
Adam Wolfe - 1 3.6 1.0 0.0 0.0 2.0 0.0 0.0 1.0 2.0 40 2.5 39.1 0.0 0 50.0 -1.61 26.6 0.0
Drew Flinn - 8 6.5 0.5 0.6 0.1 0.0 0.0 0.5 0.5 0.2 -5 -0.6 -13.2 50.0 0.0 0 -1.87 50.0 50.0
Aden Lepp - 1 2.4 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Zaid Osman - 1 2.2 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0
Cooper Crawford - 1 2.3 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 -4 -4.0 -71.1 0 0 0 -0.68 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