Charlotte
Also known as: Charlotte
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 → | 1068 (#140) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#293) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.3 (#305) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.876 (#135) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.791 (#242) | AdjNet +11.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.796 (#238) | AdjNet +11.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.688 (#244) | AdjO 82.3 | AdjD 73.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.518 (#266) | AdjO 75.6 | AdjD 74.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.558 (#276) | 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 → | 0.553 (#273) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1140 (#84) | RD 350 | GP 1 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anton Bonke | - | 1 | 23.5 | 17.0 | 13.0 | 0.0 | 0.0 | 2.0 | 4.0 | 11.0 | 17.0 | - | - | - | 63.6 | 0 | 50.0 | - | 62.3 | 63.6 |
| Ben Bradford | - | 1 | 30.2 | 13.0 | 4.0 | 4.0 | 4.0 | 0.0 | 3.0 | 7.0 | 15.0 | - | - | - | 57.1 | 0.0 | 83.3 | - | 67.4 | 57.1 |
| Dezayne Mingo | - | 1 | 33.0 | 13.0 | 4.0 | 8.0 | 0.0 | 0.0 | 2.0 | 11.0 | 12.0 | - | - | - | 45.5 | 16.7 | 100.0 | - | 54.7 | 50.0 |
| Kylan Blackmon | - | 1 | 25.6 | 11.0 | 4.0 | 1.0 | 1.0 | 0.0 | 2.0 | 6.0 | 9.0 | - | - | - | 66.7 | 60.0 | 0 | - | 91.7 | 91.7 |
| Damoni Harrison | - | 1 | 33.3 | 10.0 | 5.0 | 2.0 | 1.0 | 0.0 | 3.0 | 9.0 | 6.0 | - | - | - | 44.4 | 0.0 | 100.0 | - | 50.6 | 44.4 |
| Arden Conyers | - | 1 | 8.9 | 8.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 3.0 | - | - | - | 33.3 | 33.3 | 100.0 | - | 58.1 | 50.0 |
| Ethan Butler | - | 1 | 19.2 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 1.0 | 7.0 | - | - | - | 100.0 | 0 | 75.0 | - | 90.6 | 100.0 |
| Spencer Elliott | - | 1 | 20.6 | 4.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 3.0 | - | - | - | 50.0 | 0 | 0.0 | - | 45.0 | 50.0 |
| Kuluel Mading | - | 1 | 5.6 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
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