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East Stroudsburg

Season: 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: East Stroudsburg
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 → 1077 (#70) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1143 (#74) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1104 (#73) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +9.7 (#106) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +10.2 (#157) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.797 (#163) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +43.8 More → 0.992 (#82) NetEff +43.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.8 More → 0.796 (#236) AdjNet +11.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.9 More → 0.801 (#234) AdjNet +11.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.9 | AdjD 77.1 More → 0.708 (#227) AdjO 86.9 | AdjD 77.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 86.3 | AdjD 77.6 More → 0.688 (#79) AdjO 86.3 | AdjD 77.6
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 → 0.730 (#114) 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 → 0.727 (#111) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 23 More → 1180 (#62) RD 96 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Winston-Salem W 105 - 72
2025-11-15 @ Virginia St. W 79 - 78
2025-11-17 vs Chestnut Hill W 96 - 75
2025-11-25 vs Georgian Court W 106 - 84
2025-11-30 vs Mercy W 98 - 92
2025-12-02 @ Molloy W 106 - 91
2025-12-06 vs Seton Hill L 85 - 93
2025-12-16 @ Clarion W 86 - 61
2025-12-20 vs Pitt.-Johnstown L 79 - 83
2025-12-21 vs Indiana (PA) L 82 - 96
2026-01-02 @ California (PA) L 72 - 91
2026-01-03 @ Slippery Rock W 84 - 76
2026-01-07 @ Millersville W 74 - 68
2026-01-10 vs Shepherd W 74 - 72
2026-01-13 vs Bloomsburg W 106 - 70
2026-01-15 @ Mansfield W 102 - 76
2026-01-17 @ Shippensburg L 80 - 82
2026-01-21 vs Lock Haven W 92 - 63
2026-01-27 @ Kutztown W 87 - 73
2026-01-29 vs West Chester L 82 - 85
2026-01-31 vs Millersville W 87 - 77
2026-02-04 @ Bloomsburg W 82 - 60
2026-02-07 @ Shepherd L 95 - 100

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%
Kevin Coleman - 4 15.4 13.0 3.5 2.5 1.0 1.5 0.8 7.5 13.2 20 5.0 23.0 73.3 33.3 50.0 0.57 71.9 75.0
Adrian Brito - 23 18.4 12.2 5.3 2.0 0.8 0.9 2.1 7.8 11.3 123 5.3 41.3 60.9 36.7 63.7 -0.42 65.4 64.0
Ethan Maynard - 23 21.3 11.3 2.3 1.0 1.4 0.1 1.8 9.5 4.7 7 0.3 3.3 38.8 39.1 70.2 -0.88 53.3 50.2
Nasir Griffin - 23 21.0 10.8 4.0 1.9 0.7 0.5 1.6 8.4 8.0 74 3.2 33.5 41.5 22.2 74.2 2.67 53.2 46.6
Ethan Millirons - 23 21.8 9.8 1.7 1.0 0.8 0.0 0.4 6.3 6.7 95 4.3 25.6 50.7 48.3 95.7 1.9 73.3 70.8
Keni Williams - 23 18.9 9.6 1.8 3.1 1.5 0.0 2.4 8.3 5.3 80 3.5 27.5 43.7 22.0 63.6 1.16 50.4 47.1
Carson Howard - 23 19.3 8.3 4.5 1.5 0.9 0.6 1.4 5.2 9.2 61 2.7 23.3 57.5 33.3 52.7 0.97 59.3 59.2
Jalen Pichardo - 23 24.6 8.0 8.3 1.8 0.7 0.4 0.9 5.0 13.2 -1 -0.0 -0.4 57.8 18.2 62.3 -1.1 61.4 58.6
Saleem Payne - 16 19.6 5.9 2.2 2.5 0.4 0.0 1.6 5.6 3.9 -54 -3.6 -38.7 42.2 48.0 70.0 -0.41 50.3 48.9
Christian Pierre-Louis - 21 18.1 5.7 2.7 1.4 0.7 0.1 1.8 5.3 3.4 - - - 42.0 20.7 51.4 - 46.4 44.6
Terrell Pitts - 23 17.1 5.3 2.5 1.0 0.9 0.0 0.7 4.4 4.7 63 2.7 18.3 47.1 27.3 81.0 -0.18 54.8 51.5
Davon Lee - 5 19.2 2.6 0.8 1.6 0.6 0.0 0.8 4.2 0.6 3 0.6 1.9 28.6 11.1 0.0 -0.73 29.7 31.0
Lual Manyang - 11 4.2 1.7 1.1 0.1 0.2 0.1 0.3 1.5 1.4 -2 -0.2 -8.7 29.4 40.0 70.0 -1.83 44.4 35.3
Shane Crissman - 6 2.9 1.3 0.7 0.2 0.2 0.0 0.0 1.8 0.5 -3 -0.6 -28.2 27.3 20.0 0 -0.82 36.4 36.4
Milan Dean - 6 3.8 0.0 0.7 0.5 0.2 0.0 0.5 0.7 0.2 -13 -2.6 -122.4 0.0 0.0 0 -0.82 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