Col. of Charleston
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 → | 1051 (#166) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1006 (#244) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.9 (#112) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.967 (#94) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.953 (#75) | AdjNet +26.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.954 (#74) | AdjNet +25.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.865 (#69) | AdjO 87.8 | AdjD 67.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.566 (#184) | AdjO 75.2 | AdjD 72.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.760 (#95) | 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 → | 0.729 (#108) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1088 (#128) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Davis Jr | - | 1 | 22.9 | 14.0 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 15.0 | 5.0 | - | - | - | 46.7 | 0.0 | 0.0 | - | 44.1 | 46.7 |
| Chol Machot | - | 1 | 19.7 | 14.0 | 10.0 | 0.0 | 1.0 | 1.0 | 1.0 | 9.0 | 16.0 | - | - | - | 66.7 | 0 | 50.0 | - | 65.1 | 66.7 |
| Christian Reeves | - | 1 | 19.1 | 12.0 | 7.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 14.0 | - | - | - | 71.4 | 0 | 50.0 | - | 68.5 | 71.4 |
| Kendall Taylor | - | 1 | 29.5 | 12.0 | 11.0 | 0.0 | 0.0 | 0.0 | 0.0 | 11.0 | 12.0 | 0 | 0.0 | 0.0 | 45.5 | 0.0 | 100.0 | 1.91 | 50.5 | 45.5 |
| Martin Kalu | - | 1 | 21.8 | 11.0 | 6.0 | 2.0 | 2.0 | 0.0 | 2.0 | 8.0 | 11.0 | - | - | - | 50.0 | 25.0 | 100.0 | - | 61.9 | 56.2 |
| Jlynn Counter | - | 1 | 23.4 | 10.0 | 5.0 | 7.0 | 0.0 | 0.0 | 1.0 | 11.0 | 10.0 | - | - | - | 27.3 | 0.0 | 100.0 | - | 39.2 | 27.3 |
| Jaxon Prunty | - | 1 | 20.6 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 2.0 | - | - | - | 0.0 | 0.0 | 75.0 | - | 26.0 | 0.0 |
| Chadlyn Traylor | - | 1 | 20.8 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 6.0 | -2.0 | - | - | - | 16.7 | 0.0 | 25.0 | - | 19.3 | 16.7 |
| Djordje Curcic | - | 1 | 18.7 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| AJ Fowler | - | 1 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 15 | 0.7 | 2.8 | 0 | 0 | 0 | 0.33 | 0 | 0 |
| Joey Scarpitti | - | 1 | 2.4 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 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