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 → | 951 (#464) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 876 (#522) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 973 (#568) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -28.3 (#748) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.071 (#752) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.008 (#778) | AdjNet -40.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.008 (#778) | AdjNet -41.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.061 (#776) | AdjO 60.2 | AdjD 90.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.387 (#593) | AdjO 72.1 | AdjD 77.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.177 (#687) | 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 → | 0.214 (#661) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 798 (#552) | RD 348 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Eric Woodberry | - | 1 | 15.0 | 12.0 | 6.0 | 1.0 | 1.0 | 0.0 | 3.0 | 6.0 | 11.0 | -128 | -6.4 | -29.5 | 83.3 | 66.7 | 0 | -2.15 | 100.0 | 100.0 |
| Louis Vidal | - | 1 | 33.0 | 7.0 | 8.0 | 0.0 | 1.0 | 0.0 | 6.0 | 7.0 | 3.0 | -57 | -3.0 | -19.8 | 28.6 | 25.0 | 100.0 | 0.12 | 44.4 | 35.7 |
| Gerard Novello | - | 1 | 30.0 | 6.0 | 1.0 | 3.0 | 0.0 | 0.0 | 1.0 | 8.0 | 1.0 | -87 | -6.7 | -35.0 | 25.0 | 28.6 | 0 | -0.76 | 37.5 | 37.5 |
| Aidan McCahey | - | 1 | 24.0 | 5.0 | 3.0 | 5.0 | 1.0 | 0.0 | 3.0 | 8.0 | 3.0 | -57 | -4.1 | -101.8 | 12.5 | 16.7 | 100.0 | -0.83 | 28.2 | 18.8 |
| Nick Rivera | - | 1 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -34 | -3.4 | -48.8 | 0 | 0 | 0 | -1.4 | 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