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Moody Bible

Also known as: Moody Bible
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 924 (#646) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -61.2 (#781) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.091 (#744) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -48.9 More → 0.003 (#791) AdjNet -48.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -49.7 More → 0.003 (#789) AdjNet -49.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.2 | AdjD 95.1 More → 0.031 (#791) AdjO 57.2 | AdjD 95.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.6 | AdjD 87.5 More → 0.141 (#769) AdjO 67.6 | AdjD 87.5
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 → 0.052 (#773) 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 → 0.062 (#773) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 242 | GP 1 More → 754 (#578) RD 242 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-22 vs Maranatha Baptist L 70 - 98

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%
Will Schultz - 1 30.0 19.0 5.0 2.0 2.0 0.0 2.0 14.0 12.0 -61 -4.7 -99.2 50.0 33.3 100.0 0.57 60.3 53.6
Grant Brock - 1 26.0 18.0 5.0 1.0 0.0 0.0 0.0 8.0 16.0 -86 -6.1 -130.0 100.0 100.0 0 0.61 112.5 112.5
Christian Cleveland - 1 23.0 15.0 3.0 2.0 1.0 0.0 1.0 10.0 10.0 - - - 70.0 100.0 0.0 - 68.9 75.0
James Hawley - 1 25.0 14.0 1.0 1.0 1.0 0.0 3.0 10.0 4.0 -91 -7.0 -147.8 60.0 40.0 0 -0.05 70.0 70.0
Joe Shank - 1 24.0 11.0 8.0 3.0 3.0 0.0 0.0 4.0 21.0 -81 -5.8 -126.3 75.0 66.7 100.0 1.13 103.4 100.0
Jonathan Herbster - 1 3.0 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 -41 -5.1 -517.9 100.0 0 0 -0.74 100.0 100.0

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