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Pitt.-Johnstown

Also known as: Pitt.-Johnstown
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 → 984 (#216) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1059 (#154) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1003 (#262) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.2 (#134) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +5.6 (#233) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.439 (#373) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +30.6 More → 0.966 (#146) NetEff +30.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.8 More → 0.476 (#428) AdjNet -0.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.8 More → 0.476 (#428) AdjNet -0.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.1 | AdjD 79.7 More → 0.488 (#429) AdjO 79.1 | AdjD 79.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.9 | AdjD 75.2 More → 0.584 (#170) AdjO 78.9 | AdjD 75.2
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 → 0.639 (#201) 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 → 0.620 (#210) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 22 More → 1061 (#162) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Lincoln (PA) L 73 - 75
2025-11-15 @ Concord W 79 - 75
2025-11-22 vs D'Youville W 85 - 72
2025-11-23 @ Ashland L 79 - 87
2025-11-25 vs Point Park W 92 - 75
2025-11-29 @ Davis & Elkins W 92 - 71
2025-12-02 vs Penn St.-Gr Allegheny W 99 - 57
2025-12-06 @ West Chester L 72 - 81
2025-12-08 vs West Va. Wesleyan W 113 - 84
2025-12-16 vs Bloomsburg W 99 - 71
2025-12-20 @ East Stroudsburg W 83 - 79
2025-12-21 @ Kutztown W 79 - 67
2026-01-02 vs Millersville L 68 - 87
2026-01-03 vs Shepherd L 62 - 66
2026-01-07 @ Indiana (PA) L 70 - 80
2026-01-10 vs Slippery Rock L 68 - 82
2026-01-14 @ Edinboro W 82 - 68
2026-01-17 @ Clarion L 79 - 84
2026-01-24 vs Gannon L 86 - 112
2026-01-28 vs Seton Hill W 97 - 88
2026-01-31 @ California (PA) L 68 - 79
2026-02-07 @ Slippery Rock L 67 - 85

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%
Baden Forup - 22 30.1 19.2 11.5 2.0 1.2 0.5 2.7 13.3 18.5 34 1.5 7.5 63.0 0.0 73.0 -1.13 65.0 63.0
Jay Rose - 16 23.7 16.6 3.2 1.6 1.2 0.2 2.3 11.7 8.9 20 1.2 15.3 52.4 42.6 74.1 0.2 62.9 60.2
Vinnie Cugini - 21 28.3 12.6 4.1 1.1 1.4 0.1 1.6 10.2 7.6 55 2.6 13.1 47.7 39.3 79.6 -0.67 56.2 52.8
Adam Bilinsky - 22 30.3 11.8 2.8 3.4 2.0 0.5 1.9 8.5 10.1 52 2.4 11.6 54.8 35.7 73.5 -2.22 62.6 60.2
Will Kromka - 21 27.0 8.5 4.3 1.3 0.6 0.3 1.3 6.2 7.5 94 4.5 22.8 45.8 37.9 72.3 2.69 59.0 55.3
Cedric Rault - 20 24.8 6.0 1.1 3.5 1.4 0.1 3.2 4.9 4.2 75 3.8 19.3 43.9 26.3 69.8 -1.09 51.7 46.4
Ryan Calo - 21 21.3 5.9 3.0 1.8 0.3 0.1 1.9 4.6 4.6 24 1.1 8.1 47.9 45.0 68.8 -1.52 55.9 52.6
Nick Watts - 22 12.5 3.7 3.3 1.6 0.4 0.2 1.4 2.8 5.0 44 2.0 22.1 46.8 25.0 73.1 -1.86 55.1 50.0
Adam Barton - 6 5.8 2.2 2.3 0.2 0.2 0.2 1.0 1.8 2.2 12 2.0 533.3 45.5 50.0 50.0 0.74 54.7 54.5
Marcel Finkley - 8 8.4 2.1 1.5 0.9 0.2 0.0 1.0 1.4 2.4 3 0.4 7.3 45.5 33.3 55.6 -0.01 56.8 54.5
Nate Sprajcar - 7 4.5 2.0 1.0 0.4 0.1 0.1 0.1 1.3 2.3 -8 -1.1 -95.5 77.8 0 0 -0.41 77.8 77.8
Noah Prosser - 8 5.2 1.4 0.4 0.9 0.2 0.0 0.1 1.8 1.0 23 2.9 123.8 28.6 25.0 0 0.57 39.3 39.3
Tanner Barkley - 7 4.4 1.1 0.3 0.3 0.0 0.0 0.0 1.1 0.6 -6 -0.9 -77.4 37.5 40.0 0 -0.43 50.0 50.0
Keegan Smetanka - 9 8.2 1.1 0.2 0.8 0.3 0.1 0.6 1.7 0.3 -1 -0.1 -1.1 26.7 16.7 50.0 1.19 31.5 30.0
Craig Jarvis - 6 5.0 0.5 0.2 0.5 0.2 0.0 0.7 0.7 0.0 2 0.3 20.0 25.0 25.0 0 0.16 37.5 37.5

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