🐻⬇️🏀

Kutztown

Also known as: Kutztown
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 → 909 (#377) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 935 (#377) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 847 (#575) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -2.9 (#249) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -6.5 (#416) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.220 (#476) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.1 More → 0.609 (#246) NetEff +4.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.1 More → 0.219 (#537) AdjNet -11.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.0 More → 0.217 (#540) AdjNet -11.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.1 | AdjD 79.8 More → 0.311 (#547) AdjO 71.1 | AdjD 79.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.6 | AdjD 72.1 More → 0.356 (#499) AdjO 65.6 | AdjD 72.1
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 → 0.316 (#450) 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 → 0.309 (#470) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 98 | GP 20 More → 832 (#430) RD 98 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-19 vs Penn St.-Schuylkill W 117 - 68
2025-11-22 @ Georgian Court L 66 - 69
2025-12-01 vs Frostburg St. W 70 - 66
2025-12-05 vs Indiana (PA) L 71 - 78
2025-12-16 @ Gannon L 48 - 106
2025-12-20 vs Clarion L 61 - 75
2025-12-21 vs Pitt.-Johnstown L 67 - 79
2026-01-02 @ Seton Hill L 62 - 77
2026-01-03 @ California (PA) L 68 - 91
2026-01-07 vs Cheyney W 80 - 53
2026-01-10 vs Lock Haven W 70 - 61
2026-01-13 @ West Chester L 68 - 93
2026-01-15 @ Shippensburg L 60 - 65
2026-01-17 vs Bloomsburg W 79 - 47
2026-01-21 @ Millersville L 67 - 85
2026-01-24 @ Shepherd L 56 - 72
2026-01-27 vs East Stroudsburg L 73 - 87
2026-01-29 vs Mansfield L 60 - 66
2026-02-04 vs West Chester L 53 - 73
2026-02-07 @ Lock Haven L 83 - 91

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%
Jalen Bryant - 18 34.3 16.3 3.9 2.1 1.2 0.1 3.0 13.8 6.7 -120 -6.7 -33.9 35.7 31.2 86.0 -1.75 50.5 42.8
Jordan Nkoa Abessolo - 20 30.4 13.8 9.7 0.8 1.2 0.5 2.6 11.3 12.0 -146 -7.7 -42.1 51.5 26.7 54.2 -1.5 53.5 52.4
Yahmir Satterfield - 17 26.5 10.4 2.1 1.3 0.4 0.0 1.1 7.9 5.1 -78 -4.6 -88.2 44.4 35.3 74.3 1.6 58.5 55.6
Omari Banks - 17 30.0 9.7 4.2 3.5 1.4 0.3 2.2 9.1 7.8 -113 -6.6 -92.3 42.2 13.3 56.9 1.18 46.0 42.9
Kidd Brizek - 19 21.2 6.7 4.3 0.9 0.6 0.3 1.0 5.2 6.5 -224 -11.8 -82.1 46.5 25.8 70.0 -2.78 54.9 50.5
Kameron Roberts - 5 14.5 5.6 1.6 1.2 0.4 0.0 1.0 4.4 3.4 60 2.6 11.9 45.5 30.0 100.0 2.26 57.9 52.3
Josh McKoy - 20 21.9 5.5 4.0 1.1 0.5 0.4 1.6 4.2 5.6 -126 -6.3 -46.7 36.9 32.4 73.5 -0.19 52.1 44.0
Tobi Ogunbare - 17 20.0 3.9 5.9 1.3 0.4 0.5 1.5 3.0 7.5 -1 -0.1 -1.2 45.1 25.0 74.1 -0.83 53.3 46.1
Brendan Gaines - 10 7.1 3.8 0.9 0.6 0.1 0.0 0.3 2.4 2.7 2 0.2 2.4 54.2 44.4 66.7 0.47 71.3 70.8
Amon Fowlkes - 17 14.0 1.8 1.3 1.5 0.5 0.0 0.8 2.1 2.2 -80 -4.7 -33.5 31.4 9.1 46.7 -1.69 36.1 32.9
Andrew Hoadley - 10 5.7 1.7 1.3 0.2 0.2 0.1 0.1 1.5 1.9 -18 -1.8 -34.2 53.3 0.0 33.3 -1.53 52.1 53.3
Jayden Robinson - 15 7.7 1.5 1.1 0.5 0.1 0.3 1.1 1.5 0.7 -25 -1.7 -59.8 30.4 20.0 42.9 0.97 37.7 34.8
Tanner Zawada - 19 6.5 1.5 0.3 0.5 0.2 0.0 0.6 1.3 0.5 -27 -1.5 -53.6 32.0 50.0 70.0 -0.26 47.6 42.0

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