🐻⬇️🏀

East Stroudsburg

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 → 1087 (#94) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1045 (#203) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1031 (#194) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -1.2 (#185) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +0.1 (#364) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.383 (#410) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.4 More → 0.653 (#228) NetEff +4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.9 More → 0.336 (#457) AdjNet -5.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.6 More → 0.341 (#457) AdjNet -5.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.1 | AdjD 61.8 More → 0.438 (#452) AdjO 59.1 | AdjD 61.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.0 | AdjD 63.7 More → 0.506 (#352) AdjO 64.0 | AdjD 63.7
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 → 0.527 (#330) 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 → 0.526 (#329) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 93 | GP 23 More → 1053 (#186) RD 93 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 @ Bowie St. W 57 - 48
2025-11-17 @ Shaw W 67 - 61
2025-11-19 @ Jefferson L 49 - 64
2025-11-22 vs Staten Island W 74 - 41
2025-11-25 vs St. Thomas Aquinas W 63 - 52
2025-12-06 vs Seton Hill L 70 - 78
2025-12-16 @ Clarion W 78 - 73
2025-12-20 vs Pitt.-Johnstown W 70 - 66
2025-12-21 vs Indiana (PA) L 49 - 56
2026-01-02 @ California (PA) L 50 - 70
2026-01-03 @ Slippery Rock W 69 - 65
2026-01-10 vs Shepherd W 74 - 67
2026-01-13 vs Bloomsburg L 68 - 71
2026-01-15 @ Mansfield W 59 - 53
2026-01-17 @ Shippensburg W 64 - 49
2026-01-21 vs Lock Haven L 47 - 76
2026-01-27 @ Kutztown L 59 - 62
2026-01-29 vs West Chester W 75 - 57
2026-01-31 vs Millersville W 81 - 54
2026-02-04 @ Bloomsburg W 76 - 73
2026-02-07 @ Shepherd L 68 - 74

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%
Brie Droege - 21 32.7 14.9 5.7 1.7 1.6 0.3 3.3 13.3 7.5 86 3.9 17.9 44.3 34.9 89.3 3.39 51.4 47.0
Brooke Droege - 16 32.3 12.4 5.1 2.4 2.3 0.6 1.9 12.4 8.4 43 2.5 15.4 39.7 21.2 85.0 1.32 45.9 41.5
Avery White - 21 32.8 11.9 3.1 3.1 1.2 0.4 3.0 12.1 4.6 113 4.9 25.5 34.5 30.5 79.1 3.14 45.5 42.2
Lacie Kringe - 21 31.0 9.4 4.7 3.1 1.6 0.3 2.3 9.0 7.8 18 0.8 5.3 47.3 22.2 60.7 0.65 49.2 47.9
Jessica Polin - 1 8.4 6.0 1.0 0.0 0.0 0.0 1.0 2.0 4.0 -2 -1.0 -5.5 100.0 100.0 0 -0.13 150.0 150.0
Emma Thornton - 21 16.5 5.7 4.0 0.8 1.2 0.1 1.0 4.6 6.0 77 3.5 36.7 50.5 0 72.4 0.43 54.2 50.5
Jess Devine - 21 22.3 5.0 3.0 2.5 2.2 0.0 3.0 7.2 2.6 59 2.7 16.4 23.8 21.7 57.1 1.25 31.3 27.2
McKayla Strunk - 4 6.2 3.5 1.0 0.0 0.5 0.0 0.2 1.5 3.2 - - - 83.3 75.0 50.0 -0.6 101.7 108.3
Caitlin Marten - 21 18.1 3.4 5.5 0.3 0.4 1.0 1.0 3.4 6.0 37 1.7 11.4 40.3 0.0 48.1 -1.96 42.3 40.3
Kaitlyn McGeary - 16 6.2 1.8 1.0 0.5 0.0 0.0 0.5 1.6 1.2 1 0.1 0.7 38.5 0 56.2 0.21 43.9 38.5
Lilly Riggi - 17 11.2 1.6 1.4 0.2 0.5 0.2 0.5 2.1 1.4 79 4.4 113.4 30.6 23.8 50.0 -0.45 38.0 37.5
Skylar Soltis - 13 6.0 1.2 2.1 0.2 0.2 0.3 0.3 1.8 1.9 35 2.7 101.0 30.4 0 33.3 2.49 31.2 30.4
Mikel Lancit - 5 3.2 1.2 0.6 0.2 0.0 0.0 0.4 0.6 1.0 14 2.3 277.7 66.7 0.0 100.0 0.79 77.3 66.7
Peyton Long - 11 3.8 0.8 1.0 0.0 0.1 0.1 0.2 0.9 0.9 12 1.0 57.6 40.0 0 100.0 1.46 43.1 40.0
Riley Nausedas - 5 2.2 0.8 0.0 0.0 0.0 0.0 0.2 0.6 0.0 15 2.5 240.0 33.3 0.0 66.7 1.21 46.3 33.3
Olivia Moyer - 4 3.6 0.2 0.2 0.0 0.0 0.0 0.2 0.8 -0.5 - - - 0.0 0.0 50.0 - 12.9 0.0
Kiera McKown - 1 4.9 0.0 3.0 0.0 0.0 0.0 2.0 1.0 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