North Greenville
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 861 (#479) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 931 (#388) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 854 (#647) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -10.5 (#250) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -18.6 (#587) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.255 (#462) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.316 (#330) | NetEff -5.8 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.023 (#438) | NetEff -27.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.159 (#551) | AdjNet -14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.153 (#555) | AdjNet -14.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.309 (#543) | AdjO 58.8 | AdjD 67.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.277 (#621) | AdjO 56.0 | AdjD 66.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.173 (#614) | 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 → | 0.184 (#615) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 718 (#503) | RD 175 | GP 4 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | vs | Columbia (SC) | W | 64 - 57 |
| 2026-01-24 | vs | Young Harris | L | 0 - 0 |
| 2026-01-29 | @ | Converse | L | 61 - 67 |
| 2026-02-04 | @ | Lees-McRae | L | 61 - 86 |
| 2026-02-07 | @ | Erskine | L | 66 - 71 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Janyia Williams | - | 4 | 19.6 | 13.5 | 7.0 | 1.0 | 0.5 | 0.2 | 3.0 | 11.0 | 8.2 | -38 | -2.0 | -15.9 | 52.3 | 0 | 80.0 | -3.32 | 55.8 | 52.3 |
| Quinn Johnston | - | 4 | 31.2 | 9.0 | 4.2 | 1.0 | 1.8 | 0.0 | 1.5 | 8.8 | 5.8 | -82 | -3.9 | -37.0 | 37.1 | 32.1 | 50.0 | -1.73 | 50.2 | 50.0 |
| Maliyiah Mason | - | 4 | 17.6 | 8.8 | 5.8 | 0.2 | 0.0 | 0.0 | 2.2 | 9.2 | 3.2 | -6 | -0.4 | -3.4 | 43.2 | 0.0 | 27.3 | 0.4 | 41.8 | 43.2 |
| Austin Johnson | - | 4 | 25.3 | 6.8 | 2.8 | 1.5 | 0.8 | 0.5 | 0.8 | 5.0 | 6.5 | -10 | -5.0 | -8.5 | 35.0 | 33.3 | 83.3 | -0.22 | 53.4 | 42.5 |
| Kayla Gaston | - | 4 | 14.4 | 5.2 | 3.8 | 0.0 | 0.5 | 0.0 | 0.8 | 7.2 | 1.5 | 12 | 0.6 | 8.2 | 27.6 | 16.7 | 100.0 | -2.21 | 34.6 | 31.0 |
| Jayla Cook | - | 4 | 23.7 | 5.2 | 4.2 | 4.5 | 1.8 | 0.0 | 3.8 | 6.8 | 5.2 | 5 | 0.3 | 2.7 | 25.9 | 33.3 | 66.7 | 0.7 | 33.9 | 27.8 |
| Emery Lindsey | - | 4 | 19.3 | 4.2 | 2.5 | 1.5 | 0.0 | 0.0 | 1.8 | 3.5 | 3.0 | -27 | -1.4 | -19.2 | 50.0 | 42.9 | 0 | -1.14 | 60.7 | 60.7 |
| Isabel Waite | - | 4 | 17.3 | 3.8 | 3.5 | 1.0 | 0.5 | 0.5 | 1.5 | 4.8 | 3.0 | 9 | 0.5 | 8.7 | 31.6 | 30.0 | 0 | -0.68 | 39.5 | 39.5 |
| Ja'sia Booth | - | 4 | 17.6 | 2.8 | 2.5 | 0.8 | 1.5 | 0.2 | 2.2 | 3.5 | 2.0 | 10 | 0.5 | 11.9 | 28.6 | 0.0 | 50.0 | -0.86 | 33.1 | 28.6 |
| Julia Edwards | - | 4 | 10.9 | 2.8 | 2.0 | 1.2 | 0.5 | 0.0 | 1.5 | 2.2 | 2.8 | -50 | -2.5 | -37.5 | 33.3 | 33.3 | 66.7 | -0.71 | 47.3 | 38.9 |
| Sydney Ballard | - | 2 | 6.3 | 2.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 1.5 | 1.5 | 2 | 0.1 | 8.4 | 66.7 | 0 | 0 | 1.73 | 66.7 | 66.7 |
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