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 → | 1030 (#215) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1000 (#285) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +24.9 (#35) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#8) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.982 (#35) | AdjNet +34.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.984 (#32) | AdjNet +34.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.915 (#43) | AdjO 92.8 | AdjD 66.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.644 (#110) | AdjO 80.1 | AdjD 73.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.853 (#34) | 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 → | 0.814 (#46) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 991 (#241) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-05 | vs | Belmont Abbey | W | 99 - 51 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chandler Cuthrell | - | 1 | 22.0 | 21.0 | 5.0 | 0.0 | 1.0 | 0.0 | 1.0 | 11.0 | 15.0 | - | - | - | 54.5 | 50.0 | 100.0 | - | 74.6 | 63.6 |
| Ja'Juan Carr | - | 1 | 15.0 | 15.0 | 4.0 | 2.0 | 2.0 | 0.0 | 2.0 | 9.0 | 12.0 | - | - | - | 66.7 | 50.0 | 50.0 | - | 75.9 | 77.8 |
| Bryson Cokley | - | 1 | 20.2 | 12.0 | 3.0 | 1.0 | 3.0 | 0.0 | 0.0 | 10.0 | 9.0 | - | - | - | 40.0 | 28.6 | 100.0 | - | 55.1 | 50.0 |
| Kacper Klaczek | - | 1 | 25.3 | 12.0 | 6.0 | 5.0 | 1.0 | 1.0 | 0.0 | 8.0 | 17.0 | - | - | - | 62.5 | 100.0 | 100.0 | - | 71.1 | 68.8 |
| Randall Pettus II | - | 1 | 20.6 | 12.0 | 2.0 | 1.0 | 2.0 | 0.0 | 0.0 | 8.0 | 9.0 | -2 | -0.1 | -0.8 | 50.0 | 66.7 | 0 | -0.39 | 75.0 | 75.0 |
| DeMarco Johnson | - | 1 | 24.3 | 11.0 | 5.0 | 6.0 | 1.0 | 0.0 | 1.0 | 7.0 | 15.0 | 3 | 0.2 | 1.3 | 57.1 | 50.0 | 40.0 | -0.52 | 59.8 | 64.3 |
| Caleb Middleton | - | 1 | 20.8 | 8.0 | 9.0 | 1.0 | 0.0 | 0.0 | 0.0 | 7.0 | 11.0 | - | - | - | 57.1 | 0 | 0 | - | 57.1 | 57.1 |
| Ned Hull | - | 1 | 20.7 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 5.0 | - | - | - | 40.0 | 25.0 | 100.0 | - | 59.5 | 50.0 |
| Isaac Harrell | - | 1 | 19.9 | 1.0 | 2.0 | 1.0 | 3.0 | 0.0 | 1.0 | 3.0 | 3.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 12.9 | 0.0 |
| Iker Garmendia | - | 1 | 11.2 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | -3.0 | - | - | - | 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