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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 → 875 (#478) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 845 (#499) -
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 +2.7 More → -14.3 (#353) HCA +2.7
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 → 841 (#430) RD 99 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Fairmont St. - Incomplete score
2025-11-15 vs Salem (WV) - Incomplete score
2025-11-19 vs Georgian Court - Incomplete score
2025-11-25 vs Penn St.-Scranton - Incomplete score
2025-11-30 vs Penn St.-Hazleton - Incomplete score
2025-12-03 @ St. Bonaventure - 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
2026-01-02 @ Slippery Rock - Incomplete score
2026-01-03 @ Edinboro - Incomplete score
2026-01-07 vs Shippensburg - Incomplete score
2026-01-09 vs Cheyney - 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%
Ries Naugle - 21 31.6 11.9 2.7 1.9 1.0 0.6 1.3 10.0 6.7 -143 -7.2 -45.2 43.6 35.2 82.4 -2.62 55.1 52.4
Courtney Davis II - 22 25.8 7.0 2.0 2.1 0.9 0.4 2.5 6.7 3.2 -129 -5.9 -52.1 29.1 16.2 75.0 -1.56 41.9 31.1
Kodi Johnson - 22 13.2 7.0 3.5 0.2 0.4 0.3 1.2 6.2 4.1 -87 -4.1 -49.1 37.5 29.3 83.7 -0.9 50.0 43.8
Chase Smucker - 22 21.6 6.3 2.0 0.7 0.6 0.1 1.3 5.0 3.5 -106 -4.8 -36.2 37.8 36.9 85.7 -2.16 56.4 51.8
George Sabatini - 21 20.5 6.1 5.0 0.8 0.8 0.5 2.7 6.0 4.5 -104 -5.0 -69.2 36.0 25.7 64.4 1.0 44.2 39.6
Xion Nichols - 22 18.0 5.4 1.4 0.5 0.4 0.4 1.1 4.6 2.3 -89 -4.0 -94.0 39.2 35.0 65.8 -0.57 50.1 46.1
Gabe Springer - 19 16.3 4.6 2.9 0.5 0.3 0.8 1.2 3.5 4.4 -78 -4.3 -56.6 51.5 0 64.5 -1.35 55.2 51.5
Thaddeus Lee - 19 11.0 4.5 3.4 0.2 0.4 0.1 1.3 4.6 2.6 -24 -1.3 -27.7 40.9 31.2 33.3 0.21 46.1 46.6
Kaaba Murray - 21 9.7 3.4 1.0 0.9 0.5 0.1 1.2 2.6 2.0 -53 -2.5 -51.6 45.5 47.8 66.7 -2.26 57.6 55.5
Winfield Young Jr - 20 14.3 3.2 4.3 0.6 0.6 0.6 0.9 3.0 5.2 - - - 44.3 0.0 50.0 - 45.8 44.3
Sawyer Floyd - 15 5.4 2.1 0.6 0.3 0.1 0.0 0.4 1.3 1.5 6 0.4 12.4 42.1 30.0 92.9 -0.19 63.6 50.0
Naeem Purnell-Northern - 18 8.3 1.7 0.4 0.2 0.2 0.0 0.5 2.1 -0.1 -8 -0.5 -14.8 29.7 25.0 100.0 -1.05 39.6 37.8
Camden Glass - 19 9.5 1.6 2.1 0.3 0.1 0.7 0.4 1.4 3.1 -26 -1.4 -23.5 38.5 0 78.6 0.25 48.2 38.5
Tre Simpson - 15 5.1 1.2 1.2 0.3 0.2 0.1 0.3 1.1 1.5 17 1.2 40.8 23.5 0 76.9 5.28 39.6 23.5
Joey Marshall - 17 6.2 0.9 0.9 0.5 0.3 0.2 0.3 1.2 1.3 -10 -0.6 -26.9 23.8 21.4 37.5 -0.59 32.6 31.0

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