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 → | 927 (#391) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 981 (#392) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -69.7 (#323) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -58.0 (#601) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.003 (#706) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.006 (#753) | AdjNet -43.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.006 (#754) | AdjNet -43.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.038 (#755) | AdjO 66.9 | AdjD 102.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.278 (#552) | AdjO 69.7 | AdjD 80.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.039 (#598) | 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 → | 0.061 (#597) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 903 (#351) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alton Luckenbihl | - | 1 | 26.5 | 12.0 | 2.0 | 1.0 | 3.0 | 0.0 | 2.0 | 12.0 | 4.0 | - | - | - | 33.3 | 25.0 | 100.0 | - | 45.0 | 37.5 |
| Will Ware | - | 1 | 25.4 | 9.0 | 2.0 | 0.0 | 1.0 | 1.0 | 7.0 | 8.0 | -2.0 | - | - | - | 37.5 | 50.0 | 0 | - | 56.2 | 56.2 |
| Tyler Hinton | - | 1 | 22.1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4.0 | 7.0 | -4.0 | - | - | - | 28.6 | 50.0 | 0 | - | 42.9 | 42.9 |
| Cornelius Tembo | - | 1 | 18.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Camron Milsap | - | 1 | 9.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Martagus Newton | - | 1 | 27.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
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