🐻⬇️🏀

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 → 927 (#354) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 850 (#501) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 880 (#546) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -16.1 (#302) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -13.6 (#490) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.105 (#524) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.4 More → 0.233 (#269) NetEff -10.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.0 More → 0.123 (#600) AdjNet -17.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.9 More → 0.121 (#603) AdjNet -16.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.2 | AdjD 82.1 More → 0.237 (#601) AdjO 69.2 | AdjD 82.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.2 | AdjD 72.4 More → 0.232 (#573) AdjO 59.2 | AdjD 72.4
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 → 0.200 (#529) 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 → 0.202 (#536) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 23 More → 847 (#424) RD 99 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Fairmont St. L 56 - 98
2025-11-15 vs Salem (WV) L 55 - 68
2025-11-19 vs Georgian Court L 65 - 69
2025-11-25 vs Penn St.-Scranton W 86 - 45
2025-11-30 vs Penn St.-Hazleton W 78 - 54
2025-12-03 @ St. Bonaventure L 43 - 83
2025-12-06 vs California (PA) L 52 - 72
2025-12-16 @ Pitt.-Johnstown L 71 - 99
2025-12-20 vs Indiana (PA) L 55 - 87
2025-12-21 vs Seton Hill L 70 - 104
2026-01-02 @ Slippery Rock L 54 - 72
2026-01-03 @ Edinboro L 71 - 81
2026-01-07 vs Shippensburg W 71 - 67
2026-01-09 vs Cheyney W 73 - 67
2026-01-13 @ East Stroudsburg L 70 - 106
2026-01-15 vs West Chester L 55 - 88
2026-01-17 @ Kutztown L 47 - 79
2026-01-21 vs Mansfield W 72 - 61
2026-01-24 @ Millersville L 53 - 78
2026-01-29 vs Shepherd L 54 - 65
2026-01-31 @ Shippensburg L 45 - 62
2026-02-02 @ Lock Haven W 68 - 67
2026-02-04 vs East Stroudsburg L 60 - 82

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%
Ries Naugle - 22 31.4 11.8 2.5 1.9 0.9 0.6 1.3 9.9 6.6 -143 -7.2 -45.2 44.0 36.4 82.4 -2.11 55.8 53.2
Courtney Davis II - 23 25.6 7.0 2.0 2.1 0.9 0.4 2.6 6.7 3.1 -129 -5.9 -52.1 29.4 15.8 75.6 -0.15 42.2 31.4
Kodi Johnson - 23 13.0 7.0 3.6 0.3 0.4 0.3 1.1 6.0 4.3 -87 -4.1 -49.1 37.4 29.5 84.4 -1.56 50.4 43.9
Chase Smucker - 23 21.4 6.2 2.0 0.7 0.6 0.1 1.3 5.0 3.2 -106 -4.8 -36.2 36.5 35.2 87.1 -2.73 55.2 50.0
George Sabatini - 22 20.6 6.0 4.8 0.9 0.8 0.5 2.6 5.9 4.4 -104 -5.0 -69.2 36.2 24.3 64.4 0.4 44.1 39.6
Xion Nichols - 23 17.8 5.4 1.4 0.5 0.3 0.4 1.1 4.6 2.3 -89 -4.0 -94.0 39.6 35.7 65.0 -2.02 50.6 46.7
Gabe Springer - 20 16.4 4.6 2.9 0.5 0.2 0.9 1.2 3.6 4.2 -78 -4.3 -56.6 49.3 0 64.5 -0.23 53.1 49.3
Thaddeus Lee - 20 10.9 4.3 3.2 0.2 0.3 0.1 1.2 4.5 2.3 -24 -1.3 -27.7 39.6 30.3 33.3 1.46 44.7 45.1
Kaaba Murray - 22 9.8 3.3 1.0 0.8 0.5 0.1 1.2 2.7 1.9 -53 -2.5 -51.6 44.1 47.8 66.7 -0.28 55.6 53.4
Winfield Young Jr - 21 13.7 3.0 4.1 0.5 0.5 0.5 0.9 2.9 5.0 - - - 44.3 0.0 50.0 - 45.8 44.3
Sawyer Floyd - 16 5.8 2.0 0.7 0.3 0.1 0.0 0.4 1.2 1.5 6 0.4 12.4 40.0 30.0 92.9 0.42 61.2 47.5
Camden Glass - 20 9.4 1.6 2.2 0.3 0.1 0.7 0.4 1.3 3.1 -26 -1.4 -23.5 38.5 0 78.6 -1.02 48.2 38.5
Naeem Purnell-Northern - 19 8.2 1.6 0.4 0.2 0.2 0.0 0.5 2.2 -0.3 -8 -0.5 -14.8 26.8 25.0 100.0 1.82 35.8 34.1
Tre Simpson - 16 5.5 1.1 1.2 0.2 0.2 0.1 0.4 1.1 1.4 17 1.2 40.8 23.5 0 76.9 2.14 39.6 23.5
Joey Marshall - 18 6.4 1.0 0.9 0.5 0.3 0.2 0.3 1.3 1.2 -10 -0.6 -26.9 20.8 18.8 50.0 0.22 31.7 27.1

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