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 → | 956 (#327) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 984 (#382) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.3 (#401) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.013 (#634) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.052 (#668) | AdjNet -25.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.052 (#662) | AdjNet -24.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.169 (#654) | AdjO 66.3 | AdjD 83.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.485 (#334) | AdjO 72.9 | AdjD 73.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.409 (#395) | 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 → | 0.413 (#392) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 930 (#313) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-26 | @ | Cal Poly Pomona | L | 58 - 65 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Montoya | - | 1 | 33.4 | 18.0 | 6.0 | 6.0 | 0.0 | 0.0 | 8.0 | 16.0 | 6.0 | - | - | - | 43.8 | 44.4 | 0 | - | 56.2 | 56.2 |
| Robert Finklea | - | 1 | 39.9 | 14.0 | 10.0 | 0.0 | 1.0 | 4.0 | 1.0 | 7.0 | 21.0 | - | - | - | 100.0 | 0 | 0.0 | - | 88.8 | 100.0 |
| Mateo Hamilton | - | 1 | 21.0 | 10.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 9.0 | 4.0 | - | - | - | 33.3 | 40.0 | 100.0 | - | 50.6 | 44.4 |
| Samuel Bazunga | - | 1 | 23.4 | 6.0 | 3.0 | 2.0 | 0.0 | 0.0 | 4.0 | 6.0 | 1.0 | - | - | - | 50.0 | 0 | 0.0 | - | 43.6 | 50.0 |
| Maur Tablada | - | 1 | 31.1 | 4.0 | 4.0 | 2.0 | 0.0 | 0.0 | 1.0 | 10.0 | -1.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
| Noel Camejo | - | 1 | 18.1 | 2.0 | 5.0 | 2.0 | 0.0 | 0.0 | 2.0 | 5.0 | 2.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
| Constantine Carle-Tablada | - | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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