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Pitt.-Greensburg

Also known as: Pitt.-Greensburg
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 971 (#284) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 959 (#466) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -7.3 (#429) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.041 (#566) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.4 More → 0.159 (#575) AdjNet -14.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -14.3 More → 0.158 (#573) AdjNet -14.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.6 | AdjD 87.6 More → 0.250 (#586) AdjO 75.6 | AdjD 87.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.2 | AdjD 76.9 More → 0.462 (#374) AdjO 75.2 | AdjD 76.9
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 → 0.373 (#417) 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 → 0.389 (#406) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 956 (#268) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-25 @ Seton Hill L 77 - 99

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%
Trent Rozich - 1 31.9 19.0 9.0 2.0 0.0 0.0 6.0 8.0 16.0 - - - 62.5 66.7 77.8 - 79.4 75.0
Joziah Wyatt-Taylor - 1 16.8 16.0 3.0 1.0 0.0 0.0 1.0 11.0 8.0 - - - 63.6 50.0 100.0 - 69.9 68.2
Michael Bigley - 1 25.8 10.0 4.0 3.0 0.0 1.0 1.0 10.0 7.0 - - - 40.0 33.3 50.0 - 46.0 45.0
Ty Keffer - 1 24.9 9.0 4.0 0.0 0.0 1.0 1.0 8.0 5.0 - - - 37.5 42.9 0 - 56.2 56.2
Jackson Byer - 1 27.8 7.0 15.0 2.0 1.0 0.0 2.0 11.0 12.0 - - - 18.2 0.0 75.0 - 27.4 18.2
Matthew Marinchak - 1 26.4 7.0 1.0 2.0 1.0 0.0 0.0 8.0 3.0 - - - 37.5 16.7 0 - 43.8 43.8
Jahmir Collins - 1 12.1 6.0 2.0 1.0 0.0 0.0 1.0 7.0 1.0 - - - 28.6 66.7 0 - 42.9 42.9
Jaydan Brown - 1 2.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 92 4.8 44.7 0 0 100.0 1.11 113.6 0
Ryan Kull - 1 2.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 - - - 0.0 0 50.0 - 26.6 0.0
Justin Chandler - 1 2.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Jason Flemm - 1 2.6 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Tyler Freas - 1 6.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Ryan Greggerson - 1 2.3 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Ben Thomas - 1 13.2 0.0 0.0 0.0 1.0 0.0 1.0 1.0 -1.0 39 2.2 33.2 0.0 0 0 -0.85 0.0 0.0
Tylan McCune-Daniels - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Justin Pierre-Paul - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 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