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Wash. & Jeff.

Also known as: Wash. & Jeff.
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 β†’ 1158 (#55) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β†’ 1194 (#40) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More β†’ 1146 (#49) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More β†’ +3.6 (#78) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More β†’ -1.5 (#370) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β†’ 0.649 (#366) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.7 More β†’ 0.369 (#418) AdjNet -4.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.9 More β†’ 0.360 (#417) AdjNet -4.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.9 | AdjD 79.7 More β†’ 0.415 (#421) AdjO 75.9 | AdjD 79.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.7 | AdjD 73.2 More β†’ 0.579 (#247) AdjO 76.7 | AdjD 73.2
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 β†’ 0.634 (#280) 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 β†’ 0.635 (#277) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 87 | GP 37 More β†’ 1213 (#58) RD 87 | GP 37

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 @ James Madison L 56 - 70
2025-11-08 @ Lancaster Bible L 88 - 92
2025-11-10 @ Baldwin Wallace W 82 - 68
2025-11-14 @ Arcadia W 62 - 60
2025-11-14 @ Salisbury W 88 - 63
2025-11-15 @ St. Joseph's (Brkln) W 94 - 67
2025-11-15 @ Penn St.-Abington W 79 - 63
2025-11-18 vs Carnegie Mellon L 70 - 76
2025-11-19 @ Mary Baldwin W 76 - 63
2025-11-21 vs CWRU W 70 - 69
2025-11-22 @ Dickinson W 75 - 67
2025-11-22 vs Maryville (TN) W 79 - 75
2025-11-25 vs Southern Va. W 76 - 63
2025-12-03 vs Averett W 75 - 55
2025-12-03 vs Chatham W 86 - 71
2025-12-06 @ Franciscan W 86 - 82
2025-12-15 @ Trine L 61 - 79
2025-12-16 @ SUNY Brockport W 81 - 62
2025-12-16 @ Capital W 79 - 73
2025-12-19 @ La Roche W 99 - 77
2025-12-29 vs Mt. St. Mary (NY) W 94 - 39
2025-12-30 vs Kenyon W 66 - 62
2026-01-03 @ Guilford W 90 - 88
2026-01-07 @ Bethany (WV) L 83 - 87
2026-01-07 vs Va. Wesleyan L 54 - 79
2026-01-10 vs Geneva W 68 - 64
2026-01-10 @ Roanoke W 58 - 57
2026-01-14 @ Waynesburg W 93 - 63
2026-01-14 @ Shenandoah W 73 - 69
2026-01-17 @ Hiram W 95 - 82
2026-01-17 vs Randolph W 77 - 65
2026-01-21 vs Saint Vincent L 68 - 79
2026-01-24 vs Allegheny W 85 - 72
2026-01-28 @ Chatham L 72 - 84
2026-01-31 @ Grove City W 72 - 61
2026-02-04 vs Franciscan W 81 - 77
2026-02-07 vs Westminster (PA) W 105 - 84

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%
Connor Amorosi - 16 28.9 16.6 4.2 1.3 0.4 0.4 2.2 11.7 9.0 1 0.0 0.3 47.6 39.5 75.3 -0.56 58.1 52.1
Nathan Plotner - 21 31.9 14.7 6.8 1.8 2.5 2.9 1.5 10.0 17.2 99 4.7 15.7 59.8 33.3 58.2 2.24 61.1 60.0
Alex Acosta - 21 26.3 12.5 6.9 0.7 1.1 0.9 1.6 8.1 12.3 97 4.6 18.0 57.6 27.8 59.2 -2.51 60.8 59.1
Michael Plasko - 17 22.2 12.2 1.9 1.5 1.3 0.1 1.3 10.2 5.5 40 2.4 9.3 46.2 30.8 72.7 0.87 54.1 50.9
Colin Ryan - 16 28.8 11.6 5.2 5.2 0.6 0.4 2.5 8.9 11.8 48 2.2 15.6 52.8 33.3 48.6 1.53 53.5 53.2
Matthew Carte - 21 24.8 11.3 3.0 2.2 1.1 0.1 1.9 10.9 5.0 122 5.8 26.0 34.6 29.9 69.8 4.15 46.3 42.3
Matt Seidl - 21 32.9 10.7 5.3 2.4 1.9 0.4 2.9 8.0 9.7 119 5.7 19.3 46.2 25.0 65.9 -0.26 54.6 50.3
Quinton Burlenski - 21 27.0 9.8 3.1 2.4 1.6 0.0 1.7 7.6 7.6 78 3.7 15.1 42.5 34.0 78.3 1.64 56.9 52.8
Addison Newkirk - 15 23.7 9.3 6.3 0.8 1.3 0.3 1.4 7.0 9.6 -30 -1.6 -10.9 45.7 24.3 70.0 -0.27 55.1 50.0
John Loughlin - 13 21.5 8.7 3.2 0.8 0.7 0.0 0.4 6.0 7.0 25 1.5 10.7 44.9 45.5 53.3 0.87 66.8 67.3
AJ Thomas - 16 23.6 8.0 3.8 0.9 0.5 0.1 0.8 5.8 6.6 -3 -0.1 -0.9 37.6 30.4 74.0 -0.2 55.7 48.9
Cameron Rowell - 17 19.5 7.8 3.3 1.1 2.4 0.8 0.8 6.0 8.5 22 1.3 10.2 48.0 33.3 67.4 -0.45 55.0 51.0
Bryce Breeden - 16 16.5 6.3 2.7 0.8 0.7 0.2 0.7 5.2 4.8 55 2.5 24.3 41.7 31.8 66.7 1.29 55.7 54.2
Kevin Die' - 16 13.4 3.9 1.4 1.4 0.9 0.1 0.8 3.9 3.0 - - - 30.6 32.4 81.2 - 44.9 39.5
Daniel Buttemere - 16 12.3 3.7 1.8 0.8 0.8 0.1 0.7 3.5 2.9 57 3.0 35.0 41.1 24.0 53.8 1.93 47.8 46.4
Nick Colucci - 13 9.8 3.0 1.7 0.6 1.5 0.0 1.0 2.2 3.7 2 0.2 0.9 53.6 33.3 66.7 0.57 58.6 55.4
Jackson Ransom - 16 19.1 2.8 2.2 0.2 0.8 0.1 0.3 2.1 3.8 -29 -1.6 -123.4 38.2 45.5 77.8 0.62 53.7 45.6
Ari Hobson - 14 7.9 2.4 1.9 0.1 0.1 0.1 0.5 2.7 1.4 26 1.3 26.7 36.8 0.0 54.5 0.3 39.7 36.8
Nick Sukernek - 21 10.1 2.1 0.6 1.1 0.3 0.1 0.7 2.2 1.3 -18 -0.9 -9.6 30.4 27.5 50.0 -0.96 43.7 42.4
Raine Gratzmiller - 1 1.1 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 1 1.0 35.8 100.0 0 0 0.16 100.0 100.0
Mill Chapman - 10 3.4 1.7 0.6 0.0 0.1 0.1 0.2 1.2 1.1 15 1.5 46.8 50.0 50.0 75.0 0.28 61.8 58.3
Coen Locklear - 7 3.0 1.4 0.7 0.1 0.0 0.0 0.3 1.1 0.9 9 1.3 87.8 50.0 33.3 50.0 1.94 56.3 56.2
Ishaan Bhadouria - 3 2.2 1.3 0.0 0.0 0.0 0.0 0.3 0.7 0.3 - - - 100.0 0 0.0 - 69.4 100.0
Zack Duncan - 7 3.2 1.3 0.6 0.3 0.1 0.1 0.3 1.0 1.1 - - - 57.1 33.3 0 - 64.3 64.3
Josh Chambers - 9 4.5 1.3 0.3 0.4 0.3 0.0 0.3 1.0 1.1 1 0.1 2.9 55.6 0.0 50.0 -2.01 55.8 55.6
Parker Schramm - 12 7.1 1.2 1.0 0.2 0.4 0.2 0.4 2.0 0.7 -4 -0.3 -4.6 25.0 16.7 0 -2.14 31.2 31.2
Alex FannΓ©y - 8 2.6 1.0 0.2 0.1 0.0 0.0 0.1 1.0 0.2 - - - 37.5 33.3 0 - 50.0 50.0
Brandon Learn - 3 2.2 1.0 0.3 0.0 0.0 0.0 0.3 0.7 0.3 1 0.3 22.0 50.0 50.0 0 0.76 75.0 75.0
Lucas Luteran - 3 2.8 1.0 0.7 0.0 0.0 0.0 0.3 0.7 0.7 -2 -0.7 -50.5 50.0 50.0 0 0.23 75.0 75.0
Connor Roberts - 2 2.5 1.0 1.0 0.0 0.5 0.0 0.5 0.5 1.5 0 0.0 0.0 100.0 0 0.0 0.16 69.4 100.0
Dakota Gordon - 9 2.9 0.8 0.2 0.7 0.0 0.0 0.0 1.0 0.7 23 2.3 195.7 22.2 25.0 100.0 1.52 37.1 33.3
Harrison Sowers - 6 3.4 0.8 0.7 0.3 0.0 0.0 0.0 1.0 0.8 0 0.0 0.0 16.7 25.0 100.0 0.19 36.3 25.0
Conor Roberton - 9 3.2 0.7 0.8 0.4 0.0 0.0 0.6 0.4 0.9 -5 -0.4 -8.0 50.0 0.0 100.0 1.02 61.5 50.0
Derek Errett - 1 1.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Michael Pfeuffer - 3 2.7 0.0 0.3 0.0 0.0 0.0 0.3 0.0 0.0 -5 -1.7 -179.1 0 0 0 0.16 0 0
Jaxon Specht - 1 1.9 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
Joe Rhyne - 4 3.2 0.0 0.8 0.0 0.0 0.0 0.2 1.0 -0.5 5 1.7 131.9 0.0 0.0 0 0.55 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