North Greenville
Model Outputs
2025-2026
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. More → | 1062 (#150) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.394 (#413) | AdjNet -3.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.380 (#415) | AdjNet -4.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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