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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 → 949 (#403) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 958 (#333) -
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 +2.9 More → -3.4 (#259) HCA +2.9
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 (#458) 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 → 958 (#293) RD 93 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Delaware - Incomplete score
2025-11-06 @ Binghamton - Incomplete score
2025-11-14 vs West Va. Wesleyan - Incomplete score
2025-11-15 @ Frostburg St. - Incomplete score
2025-11-19 vs Georgian Court - Incomplete score
2025-11-22 @ Fairmont St. - Incomplete score
2025-11-25 vs Lincoln (PA) - Incomplete score
2025-12-06 vs California (PA) - Incomplete score
2025-12-16 @ Pitt.-Johnstown - Incomplete score
2025-12-20 vs Indiana (PA) - Incomplete score
2025-12-21 vs Seton Hill - Incomplete score
2025-12-30 @ Jefferson - Incomplete score
2026-01-02 @ Slippery Rock - Incomplete score
2026-01-03 @ Edinboro - Incomplete score
2026-01-13 @ East Stroudsburg - Incomplete score
2026-01-15 vs West Chester - Incomplete score
2026-01-17 @ Kutztown - Incomplete score
2026-01-21 vs Mansfield - Incomplete score
2026-01-24 @ Millersville - Incomplete score
2026-01-29 vs Shepherd - Incomplete score
2026-01-31 @ Shippensburg - Incomplete score
2026-02-02 @ Lock Haven - Incomplete score
2026-02-04 vs East Stroudsburg - Incomplete score

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 - 21 27.0 10.6 7.4 1.4 0.9 0.8 1.5 8.6 11.0 16 0.8 3.4 53.9 75.0 64.1 -0.57 56.3 54.7
Kelly Leszcynski - 19 30.0 8.6 3.0 3.9 2.1 0.1 3.0 7.3 7.4 -7 -0.3 -1.4 36.7 30.4 88.2 1.36 50.8 42.8
Maddison Maynard - 21 22.8 8.5 6.0 1.1 0.7 0.4 2.1 7.9 6.8 -48 -2.1 -11.3 41.2 33.3 63.9 -1.24 46.7 42.4
Leah Kale - 19 26.9 7.7 2.6 1.7 0.5 0.6 1.5 7.4 4.2 45 2.4 7.3 38.3 33.3 64.3 1.74 47.6 45.4
Ava Stevenson - 21 27.4 6.7 2.9 2.3 0.8 0.1 3.4 7.4 2.0 -12 -0.5 -2.8 28.8 22.9 82.1 0.51 40.7 34.9
Maddie LaFrance - 21 26.1 6.7 2.5 1.4 0.6 0.1 1.0 7.5 2.8 -8 -0.4 -1.7 31.8 26.5 73.3 0.04 43.1 41.4
Alexis Ferguson - 21 18.5 5.6 3.0 0.4 1.0 0.6 1.0 4.3 5.2 -46 -2.3 -12.7 56.7 0.0 45.7 -0.37 56.0 56.7
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 -0.65 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 - 14 9.0 2.4 1.5 0.3 0.4 0.2 1.1 2.2 1.5 -21 -1.4 -15.2 32.3 33.3 70.6 -0.12 42.9 33.9
Olivia Selverian - 20 8.8 1.7 0.9 0.6 0.3 0.1 1.2 1.9 0.7 -34 -1.7 -30.6 28.9 0.0 92.3 -3.02 38.9 28.9
Carleigh Anderson - 6 5.5 1.0 1.0 0.3 0.5 0.0 0.3 1.0 1.5 -14 -2.3 -69.0 33.3 0.0 40.0 -2.54 36.6 33.3
Piper McGinley - 5 6.0 0.8 0.2 0.4 0.4 0.0 1.0 0.8 0.0 - - - 25.0 0.0 100.0 0.13 41.0 25.0
Kalleigh Nerone - 15 5.6 0.7 0.5 0.3 0.1 0.0 1.0 0.9 -0.4 -40 -2.9 -130.4 35.7 0 50.0 -4.41 37.0 35.7
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
Mackenzie Creighton - 3 2.7 0.0 0.3 0.3 0.0 0.0 0.0 0.0 0.7 - - - 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