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Washington Col.

Also known as: Washington Col.
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 → 841 (#579) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 904 (#483) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 839 (#728) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -12.9 (#377) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -14.8 (#611) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.119 (#724) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -23.3 More → 0.064 (#679) AdjNet -23.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -23.6 More → 0.059 (#680) AdjNet -23.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.8 | AdjD 75.3 More → 0.183 (#667) AdjO 58.8 | AdjD 75.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.7 | AdjD 77.5 More → 0.310 (#658) AdjO 68.7 | AdjD 77.5
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 → 0.222 (#645) 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 → 0.227 (#648) 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 → 864 (#504) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Bard - Incomplete score
2025-11-09 vs Immaculata - Incomplete score
2025-11-14 @ Navy - Incomplete score
2025-11-17 vs Valley Forge - Incomplete score
2025-11-19 @ Rosemont - Incomplete score
2025-11-22 vs Springfield - Incomplete score
2025-11-24 @ Penn St.-Berks - Incomplete score
2025-11-25 @ Loyola Maryland - Incomplete score
2025-12-05 @ Pratt - Incomplete score
2025-12-06 @ St. Joseph's (Brkln) - Incomplete score
2025-12-13 @ Gallaudet - Incomplete score
2025-12-16 vs Notre Dame (MD) - Incomplete score
2025-12-19 @ UMSV - Incomplete score
2026-01-05 @ Salisbury - Incomplete score
2026-01-10 vs Ursinus - Incomplete score
2026-01-14 @ Johns Hopkins - Incomplete score
2026-01-17 @ Muhlenberg - Incomplete score
2026-01-21 vs Swarthmore - Incomplete score
2026-01-24 @ Haverford - Incomplete score
2026-01-28 @ Franklin & Marshall - Incomplete score
2026-01-31 vs Gettysburg - Incomplete score
2026-02-04 @ McDaniel - Incomplete score
2026-02-07 vs Dickinson - Incomplete score

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%
Nolan Waldon - 20 27.0 12.8 1.9 2.5 2.1 0.0 2.9 9.8 6.6 -83 -3.8 -28.2 39.3 30.0 68.8 2.06 50.8 43.1
Jon Nalty - 21 26.6 11.1 3.6 2.0 2.0 0.0 1.9 9.0 7.8 -60 -2.9 -14.8 44.4 37.0 92.1 -2.49 56.6 52.4
Ty Woodland - 21 23.9 10.1 4.0 0.8 0.6 0.8 1.5 8.3 6.4 -144 -7.2 -39.0 49.1 38.9 73.9 -0.77 54.5 51.1
Jae Harris - 21 19.7 9.0 2.4 1.9 2.2 0.0 1.4 8.2 5.9 -43 -5.4 -12.5 37.2 29.3 67.9 0.23 47.8 43.6
Max Portnoy - 21 26.8 8.5 5.4 2.8 1.2 0.5 2.5 7.3 8.6 -3 -0.1 -0.7 45.8 28.6 68.0 1.79 50.9 47.1
Davis Bland - 21 18.4 5.5 2.2 0.6 0.3 0.3 0.4 4.8 3.7 -43 -2.0 -15.0 41.6 31.4 76.9 -0.68 54.3 52.5
Ryan Lang - 21 24.2 5.2 3.8 1.0 1.0 0.1 0.4 4.3 6.3 -120 -6.0 -34.2 46.7 41.7 25.0 -0.99 59.9 60.6
DJay Snead - 2 8.6 5.0 0.5 0.0 0.0 0.0 0.5 1.0 4.0 - - - 100.0 100.0 83.3 - 107.8 125.0
Kevin New Jr. - 5 6.2 4.8 0.4 0.2 0.0 0.0 0.4 1.8 3.2 8 2.0 63.8 77.8 71.4 100.0 1.63 107.1 105.6
Ben Costello - 19 13.4 3.2 2.4 0.3 0.1 0.2 0.7 2.9 2.5 -101 -5.0 -43.8 45.5 0.0 43.5 -2.76 46.1 45.5
David Carr Jr. - 21 8.1 2.4 0.8 0.3 0.5 0.0 0.3 1.6 2.1 0 0.0 0.0 50.0 44.8 80.0 1.38 70.4 69.1
Jacob Becker - 16 10.8 1.9 2.3 0.6 0.2 0.1 0.1 2.4 2.6 11 0.7 9.7 23.1 21.7 63.6 4.16 34.2 29.5
Terrance Vincent Jr. - 3 3.8 1.7 1.3 0.0 0.3 0.0 0.3 1.3 1.7 10 3.3 98.8 25.0 0.0 50.0 0.08 37.7 25.0
Caleb Alston-Nelson - 4 4.0 1.5 0.8 0.2 0.5 0.0 0.2 1.8 1.0 - - - 42.9 0 0 - 42.9 42.9
Ben Vaughn - 3 2.8 0.7 0.3 0.0 0.0 0.0 0.0 0.3 0.7 9 4.5 88.9 0.0 0.0 100.0 - 53.2 0.0
Leo Becker - 6 4.1 0.0 1.0 0.2 0.0 0.2 0.3 0.5 0.5 -13 -2.2 -44.0 0.0 0 0 -3.61 0.0 0.0
Anthony Seoage - 4 5.2 0.0 0.2 0.8 0.2 0.0 1.0 1.5 -1.2 6 1.5 31.3 0.0 0.0 0 -0.42 0.0 0.0
Ryan Schuh - 2 2.8 0.0 0.0 0.0 0.0 0.0 0.5 0.0 -0.5 - - - 0 0 0 - 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