Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1032 (#243) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1033 (#310) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 997 (#478) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.4 (#216) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.995 (#148) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.972 (#106) | AdjNet +30.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.973 (#109) | AdjNet +30.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.892 (#106) | AdjO 85.7 | AdjD 62.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.586 (#235) | AdjO 76.7 | AdjD 72.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.741 (#156) | 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 → | 0.704 (#195) | Blend of Elo, BT, Margin, PythLog, PtsOD |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Josh Reed | - | 1 | 25.3 | 17.0 | 12.0 | 4.0 | 2.0 | 0.0 | 0.0 | 11.0 | 24.0 | - | - | - | 63.6 | 0.0 | 42.9 | - | 60.4 | 63.6 |
| Garfield Turner | - | 1 | 11.2 | 14.0 | 4.0 | 1.0 | 1.0 | 1.0 | 0.0 | 7.0 | 14.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Dillon Tingler | - | 1 | 20.0 | 10.0 | 3.0 | 2.0 | 3.0 | 0.0 | 0.0 | 10.0 | 8.0 | - | - | - | 30.0 | 37.5 | 50.0 | - | 46.0 | 45.0 |
| Ralph Akuta | - | 1 | 15.7 | 9.0 | 2.0 | 1.0 | 1.0 | 6.0 | 1.0 | 5.0 | 13.0 | - | - | - | 80.0 | 0 | 50.0 | - | 76.5 | 80.0 |
| Shane Blakeney | - | 1 | 21.0 | 9.0 | 6.0 | 1.0 | 1.0 | 0.0 | 4.0 | 10.0 | 3.0 | - | - | - | 40.0 | 50.0 | 0 | - | 45.0 | 45.0 |
| Kevon Vanderhorst | - | 1 | 24.4 | 9.0 | 7.0 | 6.0 | 2.0 | 2.0 | 3.0 | 4.0 | 19.0 | - | - | - | 75.0 | 66.7 | 50.0 | - | 92.2 | 100.0 |
| Eli Beard | - | 1 | 21.2 | 6.0 | 2.0 | 4.0 | 0.0 | 0.0 | 3.0 | 10.0 | -1.0 | - | - | - | 20.0 | 14.3 | 50.0 | - | 27.6 | 25.0 |
| Martin de Laporterie | - | 1 | 13.1 | 6.0 | 6.0 | 0.0 | 1.0 | 1.0 | 1.0 | 4.0 | 9.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
| Victor Panov | - | 1 | 20.4 | 6.0 | 9.0 | 4.0 | 3.0 | 0.0 | 0.0 | 5.0 | 17.0 | - | - | - | 40.0 | 0.0 | 100.0 | - | 51.0 | 40.0 |
| Max Davis | - | 1 | 6.9 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 3.0 | 42 | 2.1 | 25.6 | 66.7 | 50.0 | 0 | 2.57 | 83.3 | 83.3 |
| Horace Simmons | - | 1 | 20.8 | 2.0 | 3.0 | 3.0 | 1.0 | 0.0 | 3.0 | 9.0 | -3.0 | - | - | - | 11.1 | 0.0 | 0 | - | 11.1 | 11.1 |
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