Simpson (CA)
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 → | 1076 (#136) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1013 (#221) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.9 (#135) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.052 (#557) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.148 (#581) | AdjNet -15.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.143 (#586) | AdjNet -15.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.288 (#567) | AdjO 68.6 | AdjD 78.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.562 (#188) | AdjO 74.8 | AdjD 72.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.681 (#159) | 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 → | 0.655 (#176) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1107 (#109) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Holley | - | 1 | 33.6 | 14.0 | 2.0 | 6.0 | 2.0 | 0.0 | 3.0 | 11.0 | 10.0 | -11 | -0.6 | -2.2 | 45.5 | 0.0 | 50.0 | 1.41 | 48.2 | 45.5 |
| Cortevious Taylor | - | 1 | 26.4 | 10.0 | 4.0 | 1.0 | 1.0 | 0.0 | 1.0 | 7.0 | 8.0 | 51 | 2.5 | 15.9 | 28.6 | 50.0 | 100.0 | 2.09 | 57.1 | 42.9 |
| Ned Joyce | - | 1 | 31.6 | 9.0 | 1.0 | 2.0 | 0.0 | 1.0 | 1.0 | 11.0 | 1.0 | -56 | -3.3 | -14.9 | 27.3 | 22.2 | 50.0 | -1.56 | 37.9 | 36.4 |
| Isaiah Brewington | - | 1 | 18.5 | 7.0 | 8.0 | 0.0 | 2.0 | 1.0 | 4.0 | 7.0 | 7.0 | -25 | -1.2 | -8.9 | 28.6 | 0 | 75.0 | -2.24 | 40.0 | 28.6 |
| Max Walters | - | 1 | 32.9 | 6.0 | 5.0 | 1.0 | 1.0 | 0.0 | 1.0 | 8.0 | 4.0 | 7 | 0.3 | 1.5 | 25.0 | 28.6 | 0 | 2.02 | 37.5 | 37.5 |
| Amon Andrews | - | 1 | 3.9 | 5.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 3.0 | 31 | 1.8 | 118.3 | 50.0 | 100.0 | 100.0 | 0.08 | 86.8 | 75.0 |
| Kevin Kogbara | - | 1 | 7.8 | 4.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | -1.0 | -6 | -6.0 | -30.9 | 28.6 | 0 | 0 | -0.83 | 28.6 | 28.6 |
| Donovan Desha | - | 1 | 24.6 | 3.0 | 6.0 | 0.0 | 2.0 | 0.0 | 0.0 | 6.0 | 5.0 | -17 | -1.7 | -289.4 | 16.7 | 0.0 | 33.3 | -0.64 | 20.5 | 16.7 |
| Braddock Kjellesvig | - | 1 | 15.8 | 2.0 | 1.0 | 2.0 | 4.0 | 0.0 | 1.0 | 2.0 | 6.0 | 14 | 0.7 | 5.4 | 50.0 | 0.0 | 0 | -2.2 | 50.0 | 50.0 |
| Xan Meyer-Plettner | - | 1 | 3.9 | 0.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3 | 0.5 | 51.4 | 0.0 | 0 | 0.0 | -0.16 | 0.0 | 0.0 |
| Thomas Williams | - | 1 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 42 | 3.2 | 14.5 | 0 | 0 | 0 | 3.23 | 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