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Williams

Also known as: Williams
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†’ 1004 (#192) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1088 (#136) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 960 (#588) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ +2.2 (#94) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -3.4 (#399) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.733 (#70) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.1 More โ†’ 0.806 (#21) NetEff +11.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.1 More โ†’ 0.741 (#37) AdjNet +9.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.1 More โ†’ 0.744 (#35) AdjNet +9.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.0 | AdjD 65.6 More โ†’ 0.622 (#46) AdjO 71.0 | AdjD 65.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 65.0 More โ†’ 0.539 (#325) AdjO 66.7 | AdjD 65.0
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 โ†’ 0.466 (#432) 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†’ 0.467 (#435) 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 โ†’ 1007 (#356) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs SUNY Morrisville W 89 - 67
2025-11-16 vs Alfred W 60 - 53
2025-11-19 vs SUNY Oneonta W 79 - 72
2025-11-22 @ Emmanuel (MA) W 90 - 77
2025-11-25 vs MCLA W 87 - 41
2025-11-30 @ Rhode Island Col. L 63 - 70
2025-12-03 vs Vassar W 79 - 69
2025-12-06 @ Wesleyan (CT) L 54 - 65
2025-12-19 vs Knox W 94 - 56
2025-12-20 vs Carleton W 73 - 71
2026-01-03 vs Worcester St. W 86 - 73
2026-01-05 @ Springfield W 65 - 49
2026-01-09 vs Wesleyan (CT) L 71 - 84
2026-01-10 vs Trinity (CT) L 57 - 73
2026-01-16 @ Tufts L 36 - 65
2026-01-17 @ Connecticut Col. L 68 - 83
2026-01-21 @ Amherst L 45 - 61
2026-01-24 @ Middlebury - Incomplete score
2026-01-27 vs SUNY Delhi - Incomplete score
2026-01-30 @ Bates - Incomplete score
2026-02-06 @ Colby L 52 - 64
2026-02-07 @ Bowdoin L 56 - 66
2026-02-13 vs Hamilton W 81 - 47
2026-02-14 vs Amherst W 70 - 56

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%
Jackson Rein - 23 29.4 13.7 6.1 0.8 0.9 0.4 1.4 11.3 9.3 - - - - 45.4 35.0 62.0 - 55.9 54.6
Aidan Yates - 17 30.1 13.1 4.2 1.4 0.7 0.9 0.9 10.1 9.3 - - - - 41.9 35.7 83.0 - 57.9 53.5
Hudson Hansen - 22 25.2 12.0 4.7 2.3 0.6 0.8 1.9 7.5 10.9 - - - - 51.8 39.4 74.3 - 62.0 55.7
Alex Lee - 1 30.1 12.0 0.0 3.0 2.0 0.0 0.0 10.0 7.0 - - - - 50.0 33.3 0 - 60.0 60.0
EJ Sommers - 19 15.3 6.9 3.5 0.6 0.5 0.5 1.4 5.5 5.3 - - - - 42.3 23.5 70.6 - 52.2 46.2
Matt DeVine - 17 15.0 6.3 1.1 0.5 0.5 0.4 0.8 4.8 3.2 - - - - 54.3 36.8 25.0 - 59.6 63.0
Onyeraluobu Chibuogwu - 13 17.0 5.8 4.8 2.6 0.6 0.1 1.8 4.9 7.2 - - - - 39.1 14.3 59.5 - 46.7 41.4
Justin Belcher - 14 20.0 4.2 4.4 3.3 1.5 0.5 2.6 4.6 6.7 - - - - 35.9 26.9 35.3 - 41.3 41.4
Dylan Shepherd - 18 15.2 3.8 2.5 0.7 0.7 0.3 0.3 3.8 3.9 - - - - 31.9 21.2 66.7 - 42.7 37.0
Solomon Marshall - 13 10.3 3.8 1.3 1.3 0.5 0.0 0.5 3.4 3.0 - - - - 40.9 41.2 87.5 - 52.6 48.9
Isiaha Dickens - 22 13.3 2.7 1.7 1.2 0.1 0.1 0.8 2.4 2.7 - - - - 48.1 41.2 75.0 - 55.8 54.8
Sammy Cooley - 15 19.6 2.5 2.1 1.1 0.5 0.1 0.7 2.3 3.3 - - - - 37.1 23.5 47.1 - 44.7 42.9
Wes Gudeman - 12 5.1 1.5 1.1 0.3 0.1 0.1 0.2 1.5 1.3 - - - - 44.4 0.0 100.0 - 47.7 44.4
Ty Kuehl - 11 4.1 1.4 0.5 0.2 0.3 0.0 0.3 1.5 0.6 - - - - 31.2 23.1 40.0 - 41.2 40.6
Ben McGraw - 2 4.3 1.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 - - - - 100.0 0 0 - 100.0 100.0
Matthew Nachamkin - 12 5.4 0.8 0.8 0.2 0.1 0.0 0.1 1.6 0.2 - - - - 15.8 20.0 0 - 23.7 23.7
Khalil Carlson - 3 2.1 0.7 0.7 0.3 0.0 0.0 0.0 0.7 1.0 - - - - 50.0 0 0 - 50.0 50.0
Tyler Van Gorp - 7 3.4 0.6 0.7 0.0 0.0 0.3 0.3 0.7 0.6 - - - - 40.0 0.0 0.0 - 31.6 40.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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