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North Greenville

Season: 2026 2017 2016 2015 2014 2013
Also known as: North Greenville
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 → 1099 (#144) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1062 (#150) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.2 (#227) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.611 (#397) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.7 More → 0.394 (#413) AdjNet -3.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.2 More → 0.380 (#415) AdjNet -4.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.4 | AdjD 72.0 More → 0.419 (#424) AdjO 68.4 | AdjD 72.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 62.4 More → 0.702 (#122) AdjO 71.8 | AdjD 62.4
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 → 0.660 (#252) 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 → 0.656 (#255) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-14 @ JWU Charlotte W 78 - 75

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%
Jayla Cook - 1 30.0 20.0 5.0 2.0 2.0 1.0 6.0 11.0 13.0 3 1.0 39.1 45.5 100.0 100.0 0.29 68.9 54.5
Maliyah Mason - 1 25.0 18.0 11.0 1.0 2.0 3.0 9.0 9.0 17.0 166 8.3 39.6 88.9 0 33.3 2.45 77.3 88.9
Jayla Williams - 1 18.0 12.0 8.0 0.0 0.0 0.0 3.0 8.0 9.0 4 1.0 32.3 50.0 0 66.7 2.53 56.4 50.0
Ja'sia Booth - 1 21.0 8.0 3.0 2.0 0.0 0.0 1.0 5.0 7.0 - - - 80.0 0 0 - 80.0 80.0
Quinn Johnston - 1 29.0 7.0 3.0 2.0 1.0 0.0 1.0 7.0 5.0 - - - 28.6 0.0 50.0 - 36.3 28.6
Austin Johnson - 1 20.0 5.0 4.0 1.0 2.0 0.0 4.0 5.0 3.0 25 1.2 8.6 40.0 50.0 0 1.91 50.0 50.0
Kayla Gaston - 1 15.0 3.0 3.0 2.0 1.0 0.0 3.0 4.0 2.0 - - - 25.0 0.0 100.0 - 33.8 25.0
Julia Edwards - 1 9.0 3.0 0.0 2.0 0.0 0.0 2.0 1.0 2.0 - - - 100.0 0 50.0 - 79.8 100.0
Emery Lindsey - 1 23.0 2.0 1.0 0.0 0.0 0.0 0.0 5.0 -2.0 - - - 20.0 0.0 0 - 20.0 20.0
Isabel Waite - 1 11.0 0.0 0.0 2.0 0.0 0.0 1.0 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