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Lancaster Bible

Also known as: Lancaster Bible
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 → 1182 (#39) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1145 (#74) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1063 (#145) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +4.3 (#70) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +1.8 (#322) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.707 (#346) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.4 More → 0.351 (#424) AdjNet -5.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.5 More → 0.344 (#424) AdjNet -5.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.2 | AdjD 83.5 More → 0.425 (#410) AdjO 80.2 | AdjD 83.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 84.3 | AdjD 76.5 More → 0.671 (#125) AdjO 84.3 | AdjD 76.5
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 → 0.591 (#318) 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 → 0.602 (#318) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 24 More → 1094 (#189) RD 102 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Wash. & Jeff. W 92 - 88
2025-11-14 @ Geneva W 88 - 62
2025-11-15 vs Grove City W 85 - 69
2025-11-19 vs Ramapo W 92 - 64
2025-11-22 @ La Salle L 46 - 75
2025-11-25 @ Shenandoah L 74 - 80
2025-12-03 vs DeSales W 94 - 79
2025-12-06 @ Penn St.-Berks W 100 - 74
2025-12-13 @ NYU L 83 - 95
2025-12-15 vs East. Mennonite W 83 - 69
2025-12-17 @ Lebanon Valley W 90 - 62
2025-12-29 @ Drew W 88 - 80
2025-12-30 @ Franklin & Marshall L 69 - 71
2026-01-03 @ Moravian L 81 - 99
2026-01-07 @ Penn St. Brandywine W 96 - 82
2026-01-10 vs Keystone W 96 - 74
2026-01-13 @ Gallaudet W 113 - 64
2026-01-17 vs St. Mary's (MD) W 98 - 70
2026-01-21 vs Penn College W 117 - 63
2026-01-24 @ Valley Forge W 104 - 67
2026-01-28 vs Penn St.-Abington W 101 - 70
2026-01-31 vs Cairn L 87 - 91
2026-02-04 @ Wilson L 89 - 94
2026-02-07 @ Rosemont W 70 - 47

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%
Camden Hurst - 23 27.8 20.7 3.8 2.6 2.0 0.5 2.6 13.3 13.7 104 5.2 21.9 58.0 37.7 71.0 0.17 65.6 62.8
Connor Storr - 23 22.8 15.7 6.0 2.6 2.1 0.9 3.0 11.3 12.9 152 7.2 38.4 51.0 29.5 69.0 0.07 58.3 54.4
Luke Rumbaugh - 14 19.5 9.3 2.9 0.9 0.7 0.4 1.1 6.3 6.9 20 1.5 22.0 44.3 27.8 73.4 -2.01 56.0 47.2
Daniel King - 24 20.5 6.6 4.2 1.2 1.3 0.2 1.2 4.3 7.9 69 3.1 17.8 56.7 0.0 61.2 0.46 59.6 56.7
Jacob Lewis - 22 11.7 6.5 1.9 0.4 0.5 0.1 0.9 4.5 4.0 55 2.8 26.9 48.0 46.0 70.6 -0.12 62.2 59.5
Mark Heidebrecht - 18 11.4 6.4 3.1 0.9 0.8 0.3 0.3 4.0 7.3 149 9.3 123.4 73.6 0.0 55.6 3.28 72.6 73.6
Trey Grube - 21 8.8 6.0 0.5 0.5 1.1 0.0 0.3 4.4 3.3 43 2.1 33.7 44.1 46.4 75.0 -2.6 63.0 61.3
Bennett Bowers - 24 19.8 5.5 1.8 2.3 0.8 0.0 1.3 4.0 5.0 100 4.8 34.7 46.9 35.9 93.1 3.95 60.2 54.2
Tyshaun Pulley - 24 15.8 5.1 2.8 1.4 0.8 0.2 1.0 5.5 3.8 89 4.2 30.3 37.9 28.1 54.2 5.03 42.8 41.3
Nile Austin - 24 22.2 4.9 2.0 1.6 1.4 0.1 1.1 4.7 4.2 182 8.7 49.3 34.8 34.9 71.4 5.16 49.9 48.2
Reaves Hooks - 23 13.3 4.3 1.7 2.2 0.5 0.2 1.4 3.7 3.8 108 4.9 44.4 42.4 38.2 72.2 -1.98 52.7 50.0
Tyler Chapman - 4 6.9 2.5 2.0 0.5 0.8 0.0 0.2 2.8 2.8 18 6.0 35.3 36.4 28.6 0.0 1.48 42.1 45.5
Micah Washington - 1 4.0 2.0 1.0 0.0 0.0 0.0 0.0 1.0 2.0 45 3.5 57.8 100.0 0 0.0 -1.72 69.4 100.0
Doug Adiok - 18 5.8 1.7 1.9 0.1 0.2 0.3 0.4 1.2 2.5 9 0.6 14.6 59.1 0 25.0 2.04 51.7 59.1
Micah Gray - 7 2.9 1.6 0.1 0.0 0.0 0.0 0.0 1.1 0.6 17 2.4 266.7 50.0 50.0 0 0.08 68.8 68.8
Marco Cabezas - 17 5.2 1.5 0.7 0.5 0.4 0.0 0.5 1.4 1.2 44 2.9 141.9 34.8 0.0 81.8 1.27 44.9 34.8
Nas Joy - 13 6.1 0.9 1.3 1.0 0.2 0.0 0.2 1.6 1.6 52 4.3 69.9 19.0 7.7 75.0 0.21 26.4 21.4
Landon Zeiset - 19 6.1 0.9 1.4 0.3 0.2 0.2 0.5 0.9 1.6 46 2.7 95.1 38.9 0 37.5 0.65 39.5 38.9
Matt Johnson - 12 3.6 0.3 1.2 0.3 0.2 0.2 0.4 0.5 1.3 -35 -1.3 -62.5 16.7 33.3 16.7 -1.05 23.1 25.0
Evan Milanesi - 1 2.8 0.0 0.0 0.0 1.0 0.0 0.0 2.0 -1.0 - - - 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