Furman
Also known as: Furman
Program History
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 → | 1088 (#172) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1027 (#260) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +62.3 (#6) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#94) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.992 (#104) | AdjNet +41.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.993 (#106) | AdjNet +40.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.958 (#73) | AdjO 92.0 | AdjD 57.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.938 (#6) | AdjO 86.9 | AdjD 57.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.967 (#18) | 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 → | 0.957 (#19) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Clare Coyle | - | 1 | 20.0 | 18.0 | 10.0 | 3.0 | 1.0 | 1.0 | 1.0 | 13.0 | 19.0 | - | - | - | 61.5 | 0 | 66.7 | - | 62.8 | 61.5 |
| Lauren Bailey | - | 1 | 24.4 | 15.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 10.0 | 8.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
| Alyssa Ervin | - | 1 | 21.9 | 13.0 | 3.0 | 2.0 | 3.0 | 2.0 | 2.0 | 8.0 | 13.0 | - | - | - | 37.5 | 20.0 | 66.7 | - | 54.3 | 43.8 |
| Raina McGowens | - | 1 | 23.5 | 13.0 | 7.0 | 0.0 | 3.0 | 0.0 | 0.0 | 12.0 | 11.0 | - | - | - | 41.7 | 0.0 | 50.0 | - | 44.4 | 41.7 |
| Sophia Pearl | - | 1 | 18.7 | 12.0 | 2.0 | 5.0 | 1.0 | 0.0 | 1.0 | 9.0 | 10.0 | - | - | - | 44.4 | 66.7 | 0 | - | 66.7 | 66.7 |
| Kyraha Parnell | - | 1 | 19.5 | 10.0 | 4.0 | 3.0 | 5.0 | 0.0 | 0.0 | 5.0 | 17.0 | - | - | - | 80.0 | 0 | 100.0 | - | 85.0 | 80.0 |
| Samaria Taylor | - | 1 | 14.0 | 7.0 | 2.0 | 2.0 | 4.0 | 0.0 | 0.0 | 7.0 | 8.0 | -30 | -2.5 | -28.9 | 28.6 | 0.0 | 50.0 | -1.48 | 36.3 | 28.6 |
| Chantelle Stuart | - | 1 | 17.6 | 6.0 | 4.0 | 6.0 | 1.0 | 1.0 | 3.0 | 4.0 | 11.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Brooklyn King | - | 1 | 16.8 | 5.0 | 6.0 | 0.0 | 2.0 | 1.0 | 2.0 | 8.0 | 4.0 | - | - | - | 25.0 | 33.3 | 0.0 | - | 28.2 | 31.2 |
| Tyriana Berry | - | 1 | 8.5 | 4.0 | 6.0 | 0.0 | 1.0 | 1.0 | 1.0 | 3.0 | 8.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Channing Warren | - | 1 | 9.2 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | 4.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Hilary Englert | - | 1 | 6.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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