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Washington Col.

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
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 → 998 (#385) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 988 (#395) -
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 +2.3 More → -13.5 (#291) HCA +2.3
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 (#644) 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 → 866 (#511) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Bard W 68 - 43
2025-11-09 vs Immaculata W 85 - 73
2025-11-14 @ Navy L 64 - 97
2025-11-17 vs Valley Forge W 68 - 67
2025-11-19 @ Rosemont W 58 - 46
2025-11-22 vs Springfield W 75 - 71
2025-11-24 @ Penn St.-Berks W 79 - 65
2025-11-25 @ Loyola Maryland L 51 - 101
2025-12-05 @ Pratt W 62 - 51
2025-12-06 @ St. Joseph's (Brkln) W 93 - 63
2025-12-13 @ Gallaudet W 74 - 60
2025-12-16 vs Notre Dame (MD) L 83 - 91
2025-12-19 @ UMSV W 67 - 65
2026-01-05 @ Salisbury L 71 - 72
2026-01-10 vs Ursinus L 87 - 95
2026-01-14 @ Johns Hopkins L 64 - 93
2026-01-17 @ Muhlenberg L 60 - 72
2026-01-21 vs Swarthmore L 68 - 71
2026-01-24 @ Haverford L 74 - 92
2026-01-28 @ Franklin & Marshall L 61 - 79
2026-01-31 vs Gettysburg L 64 - 79
2026-02-04 @ McDaniel L 60 - 65
2026-02-07 vs Dickinson L 60 - 61

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 - 22 25.9 11.8 1.8 2.3 2.0 0.0 2.7 9.2 6.0 -83 -3.8 -28.2 38.9 30.0 68.5 -5.01 50.2 42.6
Jon Nalty - 23 25.4 10.2 3.3 1.9 2.0 0.0 1.9 8.5 7.1 -60 -2.9 -14.8 43.4 35.3 92.1 -0.5 55.2 51.0
Ty Woodland - 23 23.0 9.8 3.7 0.7 0.5 0.7 1.4 8.3 5.7 -144 -7.2 -39.0 48.4 36.4 73.9 -0.02 53.7 50.5
Jae Harris - 23 19.5 8.7 2.4 1.8 2.2 0.0 1.6 8.1 5.4 -43 -5.4 -12.5 36.4 27.5 67.2 -2.58 46.5 42.2
Max Portnoy - 23 25.8 8.1 5.1 2.8 1.1 0.5 2.3 7.0 8.3 -3 -0.1 -0.7 46.0 26.7 68.0 0.51 50.8 47.2
Davis Bland - 23 17.8 5.4 2.0 0.5 0.3 0.3 0.4 4.6 3.6 -43 -2.0 -15.0 42.9 33.8 76.9 -1.87 56.4 54.8
Ryan Lang - 23 23.4 5.3 3.6 0.9 0.9 0.1 0.4 4.3 6.0 -120 -6.0 -34.2 46.5 41.8 25.0 -3.7 60.0 60.6
DJay Snead - 4 7.9 4.0 0.5 0.2 0.0 0.0 0.2 1.8 2.8 - - - 28.6 25.0 91.7 - 65.1 35.7
Kevin New Jr. - 7 7.3 3.9 0.9 0.6 0.1 0.0 0.3 2.4 2.7 8 2.0 63.8 47.1 54.5 100.0 0.06 70.3 64.7
Anthony Seoage - 6 7.7 3.5 0.5 0.8 0.3 0.0 1.3 3.2 0.7 6 1.5 31.3 31.6 40.0 75.0 0.71 50.6 47.4
Ben Costello - 21 13.1 3.0 2.3 0.2 0.1 0.1 0.9 2.9 2.1 -101 -5.0 -43.8 45.0 0.0 43.5 -0.56 45.6 45.0
David Carr Jr. - 23 8.4 2.4 0.8 0.4 0.7 0.0 0.4 1.7 2.3 0 0.0 0.0 46.2 43.8 75.0 2.91 65.9 64.1
Jacob Becker - 18 11.0 2.0 2.2 0.6 0.2 0.2 0.2 2.6 2.4 11 0.7 9.7 23.9 24.1 63.6 1.38 35.4 31.5
Terrance Vincent Jr. - 5 4.4 1.8 1.0 0.0 0.2 0.0 0.4 1.2 1.4 10 3.3 98.8 50.0 0.0 50.0 0.38 52.1 50.0
Caleb Alston-Nelson - 6 5.4 1.2 1.3 0.5 0.3 0.0 0.3 2.0 1.0 - - - 25.0 0.0 50.0 - 27.2 25.0
Ben Vaughn - 5 4.6 0.8 0.4 0.2 0.0 0.0 0.4 0.6 0.4 9 4.5 88.9 0.0 0.0 100.0 0.38 42.0 0.0
Leo Becker - 8 5.2 0.5 1.0 0.1 0.1 0.1 0.2 0.9 0.8 -13 -2.2 -44.0 28.6 0 0 -1.16 28.6 28.6
Ryan Schuh - 4 3.8 0.0 0.2 0.0 0.2 0.0 0.8 0.0 -0.2 - - - 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