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Bloomsburg

Also known as: Bloomsburg
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 → 1033 (#161) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1023 (#242) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 950 (#555) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -3.2 (#208) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -2.8 (#407) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.345 (#427) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +31.2 More → 0.981 (#88) NetEff +31.2
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.0 More → 0.254 (#345) NetEff -8.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.9 More → 0.363 (#455) AdjNet -4.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.5 More → 0.369 (#453) AdjNet -4.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.2 | AdjD 64.7 More → 0.443 (#449) AdjO 62.2 | AdjD 64.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.5 | AdjD 59.6 More → 0.431 (#494) AdjO 56.5 | AdjD 59.6
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 → 0.388 (#459) 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 → 0.393 (#455) 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 24 More → 963 (#296) RD 93 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Delaware L 59 - 83
2025-11-06 @ Binghamton L 44 - 92
2025-11-14 vs West Va. Wesleyan W 70 - 67
2025-11-15 @ Frostburg St. W 69 - 63
2025-11-19 vs Georgian Court W 63 - 50
2025-11-22 @ Fairmont St. L 60 - 78
2025-11-25 vs Lincoln (PA) W 71 - 41
2025-12-06 vs California (PA) L 59 - 70
2025-12-16 @ Pitt.-Johnstown W 68 - 62
2025-12-20 vs Indiana (PA) L 46 - 63
2025-12-21 vs Seton Hill L 49 - 85
2025-12-30 @ Jefferson L 33 - 55
2026-01-02 @ Slippery Rock W 65 - 57
2026-01-03 @ Edinboro L 38 - 60
2026-01-13 @ East Stroudsburg W 71 - 68
2026-01-15 vs West Chester W 63 - 57
2026-01-17 @ Kutztown L 34 - 44
2026-01-21 vs Mansfield W 76 - 51
2026-01-24 @ Millersville L 55 - 61
2026-01-29 vs Shepherd L 51 - 56
2026-01-31 @ Shippensburg W 63 - 51
2026-02-02 @ Lock Haven L 56 - 70
2026-02-04 vs East Stroudsburg L 73 - 76

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%
Alison Hatajik - 23 26.6 10.5 7.2 1.3 0.9 0.7 1.6 8.4 10.7 16 0.8 3.4 53.6 75.0 66.7 0.14 56.4 54.4
Kelly Leszcynski - 21 29.4 8.3 3.0 4.0 2.0 0.1 3.0 7.0 7.3 -7 -0.3 -1.4 37.8 28.8 86.8 0.21 51.1 43.6
Maddison Maynard - 23 22.2 8.1 6.0 1.0 0.7 0.4 2.0 7.7 6.5 -48 -2.1 -11.3 39.8 35.7 60.9 0.67 45.3 41.2
Leah Kale - 21 26.8 7.2 2.7 1.6 0.6 0.5 1.7 7.1 3.8 45 2.4 7.3 36.7 31.2 61.8 1.08 45.8 43.3
Maddie LaFrance - 23 26.0 7.1 2.5 1.3 0.6 0.1 1.1 7.5 3.0 -8 -0.4 -1.7 32.9 29.0 73.7 1.75 45.2 43.4
Ava Stevenson - 23 26.8 6.1 2.7 2.3 0.8 0.1 3.3 7.2 1.5 -12 -0.5 -2.8 27.1 21.8 82.1 -0.63 38.5 32.8
Alexis Ferguson - 23 18.4 5.7 2.9 0.4 1.0 0.6 1.1 4.5 4.9 -46 -2.3 -12.7 55.3 0.0 44.4 2.62 54.7 55.3
Akasha Santos - 7 11.3 4.0 3.6 0.3 0.1 0.3 1.4 2.7 4.1 - - - 57.9 0 75.0 - 62.2 57.9
Lily Milewski - 1 10.0 4.0 1.0 0.0 0.0 0.0 0.0 3.0 2.0 - - - 66.7 0 0 - 66.7 66.7
Sophia Shults - 16 9.3 2.6 1.5 0.2 0.4 0.2 1.1 2.2 1.6 -21 -1.4 -15.2 30.6 33.3 69.2 -0.78 43.2 31.9
Olivia Selverian - 22 9.5 2.0 1.0 0.8 0.5 0.1 1.2 2.2 1.0 -34 -1.7 -30.6 31.2 0.0 76.5 -2.79 38.8 31.2
Piper McGinley - 6 7.4 1.7 0.3 0.5 0.5 0.0 1.3 1.2 0.5 - - - 42.9 40.0 100.0 - 63.5 57.1
Carleigh Anderson - 7 5.5 0.9 0.9 0.3 0.6 0.0 0.4 0.9 1.3 -14 -2.3 -69.0 33.3 0.0 40.0 -2.07 36.6 33.3
Diamond Thornton - 3 5.2 0.7 0.3 0.0 0.3 0.0 0.0 1.3 0.0 - - - 0.0 0.0 50.0 - 17.4 0.0
Kalleigh Nerone - 17 5.8 0.6 0.4 0.2 0.1 0.0 1.1 0.8 -0.5 -40 -2.9 -130.4 35.7 0 50.0 1.12 37.0 35.7
Mackenzie Creighton - 4 3.7 0.5 0.5 0.5 0.0 0.0 0.2 0.0 1.2 - - - 0 0 100.0 - 113.6 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