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Johnson C. Smith

Season: 2026 2024 2016 2015 2014
Also known as: Johnson C. Smith
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 Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1078 (#187) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1033 (#237) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +12.7 (#184) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.591 (#412) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.2 More → 0.505 (#380) AdjNet +0.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.3 More → 0.490 (#382) AdjNet -0.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.1 | AdjD 54.7 More → 0.486 (#380) AdjO 54.1 | AdjD 54.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.6 | AdjD 54.8 More → 0.585 (#252) AdjO 58.6 | AdjD 54.8
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 → 0.726 (#185) 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 → 0.712 (#199) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-31 vs JWU Charlotte W 57 - 46

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%
Egypt Coleman - 1 21.5 11.0 4.0 0.0 3.0 0.0 1.0 9.0 8.0 -93 -5.5 -46.8 33.3 0 62.5 -1.0 43.9 33.3
Nia Hunter - 1 14.7 10.0 3.0 1.0 3.0 0.0 2.0 5.0 10.0 - - - 80.0 100.0 100.0 - 91.9 90.0
Rylee Ghent - 1 19.0 8.0 2.0 1.0 1.0 0.0 2.0 9.0 1.0 - - - 33.3 0.0 66.7 - 38.8 33.3
Salote Franklin - 1 22.9 7.0 6.0 1.0 1.0 0.0 2.0 4.0 9.0 21 1.4 35.2 50.0 0 75.0 -0.78 60.8 50.0
Tameia Shaw - 1 25.5 6.0 4.0 1.0 3.0 0.0 6.0 8.0 0.0 - - - 37.5 0.0 0 - 37.5 37.5
La'Niya Simes - 1 25.8 5.0 13.0 3.0 0.0 1.0 1.0 9.0 12.0 - - - 22.2 0 33.3 - 24.2 22.2
Taylor Turner - 1 15.9 5.0 0.0 1.0 0.0 0.0 0.0 4.0 2.0 - - - 50.0 0.0 50.0 - 51.2 50.0
Sabrina Lewis - 1 13.8 5.0 2.0 0.0 0.0 0.0 0.0 9.0 -2.0 -2 -0.1 -1.2 22.2 16.7 0 -0.47 27.8 27.8
Kyshonna Brown - 1 4.9 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 8 1.0 5.0 0 0 0 -0.08 0 0
Nyasia James - 1 36.0 0.0 3.0 7.0 2.0 0.0 2.0 4.0 6.0 - - - 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