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 → | 1020 (#230) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#292) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.8 (#422) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.996 (#34) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.930 (#95) | AdjNet +22.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.935 (#92) | AdjNet +22.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.837 (#86) | AdjO 87.3 | AdjD 69.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.493 (#311) | AdjO 74.7 | AdjD 75.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.478 (#332) | 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 → | 0.485 (#328) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jayden Tyler | - | 1 | 22.7 | 13.0 | 1.0 | 2.0 | 0.0 | 1.0 | 1.0 | 7.0 | 9.0 | - | - | - | 57.1 | 57.1 | 33.3 | - | 78.1 | 85.7 |
| Brian Sumpter | - | 1 | 26.8 | 11.0 | 9.0 | 0.0 | 0.0 | 2.0 | 2.0 | 5.0 | 15.0 | - | - | - | 100.0 | 100.0 | 0 | - | 110.0 | 110.0 |
| Callum Richard | - | 1 | 21.3 | 10.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 6.0 | 8.0 | - | - | - | 83.3 | 0 | 0 | - | 83.3 | 83.3 |
| Chace Watley | - | 1 | 21.7 | 10.0 | 3.0 | 3.0 | 1.0 | 0.0 | 1.0 | 9.0 | 7.0 | - | - | - | 33.3 | 33.3 | 50.0 | - | 46.5 | 44.4 |
| Luke Flynn | - | 1 | 14.1 | 8.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 7.0 | - | - | - | 40.0 | 40.0 | 66.7 | - | 63.3 | 60.0 |
| Rex Stirling | - | 1 | 14.6 | 8.0 | 8.0 | 0.0 | 1.0 | 0.0 | 2.0 | 4.0 | 11.0 | - | - | - | 75.0 | 0.0 | 50.0 | - | 69.4 | 75.0 |
| Maximo Ortega | - | 1 | 27.6 | 7.0 | 5.0 | 4.0 | 0.0 | 0.0 | 2.0 | 6.0 | 8.0 | - | - | - | 50.0 | 33.3 | 0.0 | - | 54.3 | 58.3 |
| Brendan Rigsbee | - | 1 | 21.5 | 7.0 | 1.0 | 3.0 | 0.0 | 1.0 | 2.0 | 5.0 | 5.0 | - | - | - | 40.0 | 25.0 | 100.0 | - | 59.5 | 50.0 |
| Nils Machowski | - | 1 | 14.7 | 4.0 | 2.0 | 3.0 | 1.0 | 0.0 | 0.0 | 5.0 | 5.0 | - | - | - | 40.0 | 0.0 | 0 | - | 40.0 | 40.0 |
| Grayson Collins | - | 1 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Cayden Vasko | - | 1 | 10.8 | 0.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 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