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 (#198) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#303) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.4 (#304) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.689 (#225) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.552 (#394) | AdjNet +1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.552 (#396) | AdjNet +1.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.547 (#379) | AdjO 84.3 | AdjD 82.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.535 (#240) | AdjO 76.9 | AdjD 75.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.536 (#292) | 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 → | 0.536 (#288) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1089 (#123) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Corneilous Williams | - | 1 | 36.0 | 22.0 | 12.0 | 2.0 | 0.0 | 1.0 | 2.0 | 12.0 | 23.0 | 136 | 6.2 | 40.7 | 75.0 | 0 | 100.0 | 2.43 | 79.9 | 75.0 |
| Kevin de Kovachich | - | 1 | 32.6 | 18.0 | 4.0 | 5.0 | 3.0 | 0.0 | 1.0 | 10.0 | 19.0 | - | - | - | 70.0 | 66.7 | 0.0 | - | 86.2 | 90.0 |
| Donte Bacchus | - | 1 | 32.0 | 16.0 | 9.0 | 3.0 | 1.0 | 0.0 | 4.0 | 10.0 | 15.0 | - | - | - | 50.0 | 0.0 | 85.7 | - | 61.2 | 50.0 |
| Dallas Howell | - | 1 | 31.4 | 10.0 | 4.0 | 4.0 | 2.0 | 1.0 | 0.0 | 11.0 | 10.0 | - | - | - | 18.2 | 12.5 | 83.3 | - | 36.7 | 22.7 |
| Canin Jefferson | - | 1 | 27.9 | 8.0 | 1.0 | 0.0 | 2.0 | 1.0 | 1.0 | 7.0 | 4.0 | - | - | - | 14.3 | 0.0 | 60.0 | - | 35.1 | 14.3 |
| DarKaun King | - | 1 | 12.1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 1.0 | - | - | - | 50.0 | 0.0 | 50.0 | - | 51.2 | 50.0 |
| Braylon Patton | - | 1 | 15.1 | 5.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | 2.0 | - | - | - | 40.0 | 0.0 | 25.0 | - | 37.0 | 40.0 |
| Kedar Bodie | - | 1 | 4.5 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | - | - | - | 100.0 | 100.0 | 50.0 | - | 106.4 | 150.0 |
| Cortez Graham-Howard | - | 1 | 5.2 | 2.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 2.0 | 4.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Tank Washington | - | 1 | 3.3 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 23 | 1.0 | 4.0 | 0 | 0 | 0 | 2.05 | 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