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William Carey

Also known as: William Carey Crusaders
Program History

Model Outputs

2021-2022 latest available
Catalog

No materialized model snapshot for 2023 yet, so this section is showing the latest available team-model rows.

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 +115 elo More → 994 (#388) HCA +115 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -3.5 (#542) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More → -13.5 (#505) HCA +2.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.2 | AdjD 70.3 More → 0.453 (#457) AdjO 68.2 | AdjD 70.3
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 → 0.253 (#506) 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 → 0.289 (#504) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 2 More → 887 (#500) RD 350 | GP 2

2023 Schedule & Results

Date Vs/At Opponent Result Score
2022-11-26 @ SE Louisiana Lions L 62 - 96

2023 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%
M. Mitchell M. Mitchell - 1 12.0 10.0 0.0 2.0 0.0 0.0 3.0 0.0 9.0 36 2.8 3.6 0 0 0 1.27 0 0
A. Bingham A. Bingham G 1 17.0 9.0 6.0 2.0 0.0 0.0 3.0 0.0 14.0 - - - 0 0 0 - 0 0
D. Herrick D. Herrick - 1 15.0 9.0 2.0 0.0 2.0 0.0 1.0 0.0 12.0 - - - 0 0 0 - 0 0
K. Moore K. Moore - 1 21.0 9.0 3.0 1.0 1.0 0.0 1.0 0.0 13.0 - - - 0 0 0 - 0 0
E. Smith E. Smith - 1 18.0 8.0 3.0 1.0 1.0 0.0 5.0 0.0 8.0 - - - 0 0 0 -0.86 0 0
W. Moody W. Moody - 1 20.0 6.0 3.0 1.0 1.0 0.0 0.0 0.0 11.0 - - - 0 0 0 - 0 0
J. Rawls J. Rawls - 1 11.0 4.0 1.0 0.0 0.0 1.0 1.0 0.0 5.0 - - - 0 0 0 - 0 0
E. Kazeneza E. Kazeneza - 1 19.0 3.0 1.0 0.0 1.0 0.0 1.0 0.0 4.0 - - - 0 0 0 - 0 0
C. Smith C. Smith - 1 15.0 2.0 0.0 2.0 1.0 0.0 3.0 0.0 2.0 9 0.8 0.9 0 0 0 0.89 0 0
R. Ganza R. Ganza - 1 12.0 2.0 2.0 0.0 0.0 1.0 1.0 0.0 4.0 - - - 0 0 0 - 0 0
J. Moore J. Moore - 1 14.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 47 4.3 6.9 0 0 0 1.3 0 0
T. Ward T. Ward - 1 8.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 -3 -0.6 -2.3 0 0 0 0.02 0 0
J. Berner J. Berner - 1 2.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
C. Chapman C. Chapman - 1 11.0 0.0 1.0 3.0 1.0 0.0 1.0 0.0 4.0 - - - 0 0 0 - 0 0
O. Hampton O. Hampton - 1 7.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 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