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Penn St.-Berks

Also known as: Penn St.-Berks
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 → 818 (#602) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 768 (#611) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 895 (#681) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -28.8 (#411) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -27.2 (#742) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.131 (#715) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -31.0 More → 0.024 (#64) NetEff -31.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -35.6 More → 0.016 (#762) AdjNet -35.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -35.9 More → 0.015 (#761) AdjNet -35.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.9 | AdjD 94.2 More → 0.077 (#762) AdjO 66.9 | AdjD 94.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.2 | AdjD 85.6 More → 0.197 (#742) AdjO 70.2 | AdjD 85.6
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 → 0.133 (#725) 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 → 0.141 (#725) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 170 | GP 7 More → 727 (#601) RD 170 | GP 7

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-10 @ Penn St.-Schuylkill L 87 - 93
2026-01-21 vs Gallaudet L 67 - 84
2026-01-23 @ Penn St.-York L 73 - 89
2026-01-28 @ Keystone W 86 - 78
2026-01-31 vs Wilson L 83 - 99
2026-02-04 vs Penn St.-Abington W 94 - 81
2026-02-07 @ Notre Dame (MD) L 69 - 95

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%
Dashawn Dixon - 1 30.0 32.0 5.0 2.0 2.0 0.0 2.0 21.0 18.0 - - - 66.7 75.0 33.3 - 71.7 73.8
K'Mari Smith - 1 34.1 28.0 8.0 3.0 2.0 0.0 3.0 18.0 20.0 -53 -2.9 -9.2 61.1 0.0 75.0 1.2 65.1 61.1
Zhaad White - 1 32.0 27.0 3.0 2.0 0.0 5.0 1.0 15.0 21.0 - - - 66.7 0.0 100.0 - 74.7 66.7
Mike Byfield - 1 37.0 23.0 9.0 2.0 0.0 2.0 4.0 14.0 18.0 -82 -4.3 -19.6 50.0 33.3 77.8 -1.38 64.0 57.1
PJ Murphy - 1 31.8 20.0 3.0 1.0 2.0 0.0 0.0 15.0 11.0 -115 -6.1 -34.6 40.0 12.5 70.0 0.63 51.5 43.3
Marquise McClean - 1 29.0 18.0 2.0 8.0 0.0 0.0 2.0 13.0 13.0 - - - 53.8 50.0 100.0 - 64.8 61.5
Tre Worsley - 1 28.0 17.0 5.0 1.0 1.0 0.0 2.0 13.0 9.0 - - - 38.5 40.0 71.4 - 52.9 46.2
Jden Golding - 1 38.5 16.0 10.0 3.0 1.0 1.0 5.0 17.0 9.0 -77 -4.1 -17.9 35.3 60.0 50.0 -1.07 44.7 44.1
Ahmodrion Jones - 1 38.0 16.0 2.0 5.0 1.0 1.0 4.0 13.0 8.0 -139 -7.3 -40.3 46.2 0.0 50.0 -0.62 48.4 46.2
Caden Mitchell - 1 22.0 15.0 4.0 2.0 3.0 0.0 2.0 5.0 17.0 58 3.9 74.0 100.0 100.0 75.0 -0.26 110.9 120.0
Tyler Fox - 1 36.2 12.0 4.0 2.0 1.0 0.0 3.0 14.0 2.0 - - - 21.4 37.5 75.0 - 38.1 32.1
Quentin Wells - 1 26.0 11.0 4.0 2.0 0.0 0.0 2.0 9.0 6.0 - - - 44.4 0.0 100.0 - 53.3 44.4
Tyler Meinel - 1 36.0 11.0 10.0 2.0 0.0 0.0 3.0 11.0 9.0 -82 -4.6 -16.3 45.5 0 50.0 -2.26 46.3 45.5
Josh Mingledolph - 3 26.3 10.3 4.3 2.7 1.0 1.0 5.0 9.7 4.7 -44 -6.3 -21.8 37.9 25.0 87.5 -1.01 47.7 41.4
Jaedon Mast - 3 26.5 10.0 2.7 2.7 0.0 0.3 3.0 6.7 6.0 -74 -4.4 -22.0 50.0 46.2 100.0 0.93 68.9 65.0
Tyler Ditton - 1 12.4 10.0 1.0 0.0 1.0 0.0 0.0 8.0 4.0 -36 -1.9 -18.4 50.0 33.3 0.0 -1.2 59.2 62.5
James Barlow - 1 32.0 9.0 11.0 8.0 0.0 1.0 0.0 5.0 24.0 - - - 80.0 0 25.0 - 66.6 80.0
Vincent Fonticoba - 1 20.0 9.0 2.0 2.0 0.0 0.0 0.0 8.0 5.0 - - - 50.0 33.3 0 - 56.2 56.2
Demetrius Thomas - 1 22.0 8.0 17.0 0.0 1.0 1.0 1.0 3.0 23.0 -44 -2.8 -20.2 100.0 0 28.6 -0.16 65.8 100.0
Cooper Truskey - 2 13.5 7.0 1.5 0.5 0.0 0.0 0.5 6.0 2.5 -59 -3.7 -65.2 41.7 36.4 0 -0.57 58.3 58.3
Bryce Hensley - 1 30.0 7.0 2.0 5.0 1.0 0.0 0.0 9.0 6.0 - - - 11.1 14.3 100.0 - 32.5 16.7
Antwuan Byrd - 1 20.0 7.0 7.0 0.0 4.0 0.0 1.0 6.0 11.0 - - - 33.3 0 75.0 - 45.1 33.3
Devin Adams - 1 12.0 7.0 3.0 0.0 0.0 0.0 0.0 5.0 5.0 8 0.4 1.9 60.0 100.0 0 0.24 70.0 70.0
Lee Newton - 1 26.0 7.0 1.0 3.0 0.0 2.0 1.0 7.0 5.0 - - - 42.9 0 100.0 - 47.0 42.9
Peter Cavacini - 3 10.2 6.7 1.7 0.3 0.3 0.3 0.3 4.0 5.0 3 0.5 4.0 58.3 60.0 100.0 3.05 75.1 70.8
Quentin Wright - 3 20.3 6.7 6.0 0.3 0.7 2.3 0.7 5.0 10.3 -134 -7.9 -45.4 53.3 66.7 33.3 -3.35 56.7 60.0
Isaiah Cotten - 3 28.4 5.7 5.7 3.7 0.0 0.3 1.7 4.0 9.7 -94 -6.7 -54.3 33.3 0.0 60.0 0.54 45.7 33.3
Marquis Ferreira - 2 23.5 5.5 1.0 3.0 0.5 0.0 2.5 6.5 1.0 -131 -9.4 -38.5 30.8 37.5 0 0.49 42.3 42.3
Charles Warren - 1 9.0 5.0 2.0 2.0 0.0 0.0 0.0 7.0 2.0 -49 -2.3 -26.5 14.3 0 100.0 -3.1 30.0 14.3
Gabriel Harrison - 3 6.0 4.7 1.3 0.3 0.0 0.0 0.7 2.7 3.0 -47 -2.9 -44.5 87.5 0 0 0.15 87.5 87.5
Matthew Gingerich - 3 12.4 3.7 3.7 1.0 0.7 0.3 0.0 5.3 4.0 -124 -6.9 -51.0 25.0 16.7 100.0 0.85 33.5 31.2
Mikko Persia - 1 10.0 3.0 2.0 0.0 0.0 0.0 0.0 2.0 3.0 - - - 0.0 0 75.0 - 39.9 0.0
Jamze Johnson - 1 18.6 3.0 2.0 0.0 1.0 0.0 1.0 6.0 -1.0 14 0.8 9.4 16.7 0.0 50.0 2.69 21.8 16.7
Luke Collins - 3 12.8 2.0 0.0 1.7 0.0 0.0 0.3 4.3 -1.0 -101 -6.3 -65.8 15.4 16.7 0 -2.42 23.1 23.1
Lucian Freeman - 3 3.6 2.0 0.3 0.0 0.0 0.0 0.3 1.7 0.3 -15 -1.4 -19.6 40.0 50.0 0 -0.74 60.0 60.0
Logan Kottinger - 1 2.0 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 100.0 0 0 - 100.0 100.0
Kamdyn Ayers - 1 24.2 2.0 5.0 3.0 4.0 0.0 3.0 2.0 9.0 -70 -5.0 -34.4 50.0 0 0.0 1.03 41.0 50.0
Salahudin Muhammad - 1 3.5 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 -1 -0.1 -3.5 100.0 0 0 0.29 100.0 100.0
Sean Murphy - 1 20.6 2.0 2.0 1.0 0.0 0.0 2.0 4.0 -1.0 144 4.8 61.9 25.0 0.0 0 1.77 25.0 25.0
Conor Patton - 1 5.2 1.0 1.0 0.0 0.0 0.0 0.0 0.0 2.0 -33 -1.6 -24.1 0 0 50.0 0.7 56.8 0
Trey Gould - 1 23.0 1.0 5.0 0.0 0.0 0.0 4.0 3.0 -1.0 - - - 0.0 0.0 50.0 - 12.9 0.0
Jeremiah Miller - 1 23.0 1.0 5.0 0.0 0.0 0.0 4.0 3.0 -1.0 41 2.0 8.6 0.0 0.0 50.0 1.12 12.9 0.0
Henry Michel III - 3 2.3 0.7 0.3 0.0 0.0 0.0 0.0 1.0 0.0 -4 -0.3 -15.4 33.3 0.0 0 -0.34 33.3 33.3
Schroeder Kleine - 3 2.4 0.0 1.0 0.3 0.0 0.0 0.0 0.3 1.0 -11 -0.9 -35.2 0.0 0.0 0 -0.03 0.0 0.0
Kamrin Carroll - 1 8.0 0.0 1.0 2.0 0.0 0.0 0.0 1.0 2.0 - - - 0.0 0 0 - 0.0 0.0
Matt Mondoro - 1 6.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0 0 - 0.0 0.0
Lui Abdeta - 1 7.0 0.0 1.0 0.0 0.0 0.0 0.0 2.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Sky Thomas - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Jeramiah Maxwell-Lawus - 1 7.6 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 -43 -2.3 -26.1 0 0 0 -1.78 0 0
Jalen Henry - 2 3.4 0.0 0.5 0.0 0.0 0.0 0.0 0.5 0.0 1 0.1 4.9 0.0 0 0 0.39 0.0 0.0
Jeremiah Samuel - 1 10.0 0.0 3.0 1.0 0.0 0.0 1.0 1.0 2.0 - - - 0.0 0 0 - 0.0 0.0
Berkay Callan - 1 3.7 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 7 0.9 74.7 0 0 0 0.31 0 0
Andrew Sepp - 1 0.0 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
AJ Mieles - 1 10.0 0.0 1.0 1.0 1.0 0.0 0.0 2.0 1.0 - - - 0.0 0 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