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 → | 1038 (#199) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#302) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.6 (#182) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.992 (#57) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.957 (#70) | AdjNet +26.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.968 (#57) | AdjNet +28.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.931 (#29) | AdjO 100.7 | AdjD 72.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.617 (#127) | AdjO 80.2 | AdjD 74.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.715 (#127) | 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 → | 0.670 (#157) | 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 (#130) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | vs | Mount Olive | W | 106 - 77 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Nolan Hodge | - | 1 | 26.1 | 21.0 | 5.0 | 2.0 | 1.0 | 1.0 | 0.0 | 14.0 | 16.0 | - | - | - | 57.1 | 66.7 | 33.3 | - | 68.5 | 71.4 |
| Madison Durr | - | 1 | 21.3 | 18.0 | 5.0 | 4.0 | 0.0 | 0.0 | 1.0 | 6.0 | 20.0 | - | - | - | 66.7 | 100.0 | 90.0 | - | 86.5 | 75.0 |
| Patrick Wessler | - | 1 | 21.7 | 17.0 | 14.0 | 2.0 | 2.0 | 4.0 | 0.0 | 8.0 | 31.0 | - | - | - | 87.5 | 0 | 60.0 | - | 83.3 | 87.5 |
| Greedy Williams | - | 1 | 27.1 | 14.0 | 4.0 | 3.0 | 1.0 | 0.0 | 1.0 | 10.0 | 11.0 | -27 | -1.3 | -6.5 | 50.0 | 0.0 | 66.7 | 2.7 | 55.4 | 50.0 |
| Noah Ross | - | 1 | 27.7 | 13.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 6.0 | 13.0 | - | - | - | 66.7 | 0.0 | 71.4 | - | 71.6 | 66.7 |
| Christian May | - | 1 | 18.4 | 9.0 | 4.0 | 0.0 | 0.0 | 0.0 | 4.0 | 11.0 | -2.0 | - | - | - | 27.3 | 50.0 | 0 | - | 40.9 | 40.9 |
| Gavin Walsh | - | 1 | 28.0 | 9.0 | 6.0 | 2.0 | 1.0 | 0.0 | 4.0 | 10.0 | 4.0 | - | - | - | 40.0 | 0.0 | 16.7 | - | 35.6 | 40.0 |
| Makoi Mabor Makoi | - | 1 | 14.1 | 2.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Makel Smith | - | 1 | 6.4 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -1.0 | 34 | 1.6 | 7.3 | 50.0 | 0.0 | 0 | 0.2 | 50.0 | 50.0 |
| Grady Whitt | - | 1 | 4.7 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
| JoJo Fullwood | - | 1 | 4.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | -3.0 | - | - | - | 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