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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 → 1076 (#96) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 835 (#514) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 906 (#605) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -23.4 (#374) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -22.6 (#629) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.222 (#569) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.4 More → 0.223 (#440) NetEff -8.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -34.5 More → 0.018 (#646) AdjNet -34.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -36.0 More → 0.014 (#649) AdjNet -36.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 51.8 | AdjD 73.3 More → 0.124 (#641) AdjO 51.8 | AdjD 73.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 50.8 | AdjD 63.1 More → 0.247 (#637) AdjO 50.8 | AdjD 63.1
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 → 0.147 (#637) 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 → 0.155 (#636) 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 23 More → 846 (#458) RD 102 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Eastern L 46 - 69
2025-11-12 @ Muhlenberg L 32 - 71
2025-11-14 @ Goucher L 40 - 48
2025-11-15 vs Lehman L 64 - 72
2025-11-19 vs Centenary (NJ) L 70 - 73
2025-11-21 @ Franklin & Marshall L 43 - 61
2025-11-22 vs Ursinus L 38 - 67
2025-11-25 vs Goucher W 49 - 42
2025-12-01 vs Saint Elizabeth W 63 - 48
2025-12-03 vs Cedar Crest W 67 - 57
2025-12-13 @ East. Mennonite L 54 - 61
2025-12-16 @ Lebanon Valley L 25 - 75
2025-12-30 @ Delaware Valley L 54 - 57
2026-01-10 vs Keystone W 66 - 45
2026-01-13 @ Gallaudet L 50 - 63
2026-01-17 vs St. Mary's (MD) L 48 - 77
2026-01-21 vs Penn College L 44 - 63
2026-01-24 @ Valley Forge W 63 - 25
2026-01-28 vs Penn St.-Abington L 55 - 64
2026-02-04 @ Wilson L 67 - 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%
Mackenzie Schirg - 1 36.0 27.0 14.0 1.0 3.0 0.0 1.0 17.0 27.0 -137 -9.1 -125.9 76.5 0.0 100.0 -2.95 77.4 76.5
Kayla DeBrow - 1 29.0 15.0 14.0 2.0 1.0 2.0 1.0 17.0 16.0 12 0.7 10.5 35.3 0 75.0 -2.6 40.0 35.3
Sophia Wascher - 1 34.0 12.0 8.0 1.0 1.0 0.0 2.0 12.0 8.0 -79 -6.1 -68.2 41.7 0 50.0 1.2 43.6 41.7
Emily Wilson - 19 33.9 11.9 5.9 3.2 1.3 0.2 3.1 13.4 6.0 16 0.9 7.4 33.1 25.5 66.7 1.72 41.1 38.2
Rachel Nolt - 19 32.3 10.4 7.2 1.9 1.1 0.7 2.9 12.7 5.6 - - - 31.0 29.4 70.2 - 37.7 34.1
Raven Hunter - 16 26.6 9.2 6.3 1.3 0.8 1.2 1.7 9.2 7.9 - - - 42.6 0.0 44.7 - 43.6 42.6
Isabella Eufemia - 19 32.4 8.0 5.2 2.0 0.5 0.1 2.5 7.8 5.4 - - - 28.2 28.8 68.8 - 41.6 33.2
Shania Stoltzfus - 19 34.2 7.6 4.2 1.7 0.9 0.1 2.3 8.0 4.2 - - - 33.6 27.8 67.7 - 43.8 40.8
Sunita Schmidjorg - 1 26.0 7.0 3.0 5.0 0.0 0.0 2.0 8.0 5.0 -58 -8.3 -49.9 25.0 0.0 75.0 -0.13 35.9 25.0
Emma Christner - 19 19.8 2.9 1.7 0.9 0.5 0.0 1.4 3.7 1.0 - - - 32.9 42.9 53.8 - 37.0 35.0
Nikki Diehl - 11 7.9 2.1 0.8 0.3 0.1 0.0 0.8 2.5 -0.1 - - - 25.0 25.0 41.7 - 34.6 32.1
Seanna Baird - 1 37.0 2.0 1.0 7.0 5.0 0.0 3.0 11.0 1.0 -197 -14.1 -148.1 9.1 0.0 0 -0.45 9.1 9.1
Miriam Spender - 19 19.2 1.9 2.4 0.2 0.2 0.1 1.2 1.6 2.1 - - - 36.7 0 57.7 - 44.6 36.7
Annie Hoffman - 8 6.0 0.5 0.9 0.1 0.0 0.0 0.9 1.0 -0.4 - - - 25.0 0.0 0 - 25.0 25.0
Evangeline Diaz - 1 25.0 0.0 2.0 2.0 1.0 0.0 2.0 2.0 1.0 -70 -3.9 -98.1 0.0 0.0 0 -2.94 0.0 0.0
Kate Aquino Uribe - 1 13.0 0.0 4.0 0.0 1.0 1.0 1.0 1.0 4.0 -107 -9.7 -125.1 0.0 0 0 -3.48 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