San Diego
Also known as: San Diego
Program History
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 → | 1019 (#318) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1095 (#146) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1007 (#389) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.1 (#126) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.943 (#224) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.824 (#223) | AdjNet +13.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.823 (#224) | AdjNet +13.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.694 (#233) | AdjO 77.1 | AdjD 68.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.601 (#213) | AdjO 77.3 | AdjD 72.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.822 (#79) | 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 → | 0.778 (#101) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1080 (#243) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-04 | vs | Occidental | W | 88 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Toneari Lane | - | 1 | 15.1 | 15.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 8.0 | 11.0 | - | - | - | 62.5 | 71.4 | 0 | - | 93.8 | 93.8 |
| Tim Moore | - | 1 | 17.1 | 13.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 10.0 | 6.0 | - | - | - | 60.0 | 0 | 50.0 | - | 59.7 | 60.0 |
| Darrae Goodwin | - | 1 | 17.0 | 10.0 | 5.0 | 3.0 | 0.0 | 0.0 | 1.0 | 8.0 | 9.0 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
| Brandon Benjamin | - | 1 | 13.4 | 8.0 | 6.0 | 1.0 | 0.0 | 0.0 | 1.0 | 9.0 | 5.0 | - | - | - | 44.4 | 0.0 | 0 | - | 44.4 | 44.4 |
| Juanse Gorosito | - | 1 | 13.6 | 8.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 6.0 | 4.0 | - | - | - | 50.0 | 40.0 | 0 | - | 66.7 | 66.7 |
| Assane Diop | - | 1 | 13.9 | 6.0 | 8.0 | 4.0 | 0.0 | 0.0 | 3.0 | 3.0 | 12.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Ty-Laur Johnson | - | 1 | 10.7 | 6.0 | 1.0 | 8.0 | 3.0 | 0.0 | 2.0 | 4.0 | 12.0 | 38 | 2.1 | 22.9 | 50.0 | 66.7 | 0 | 0.21 | 75.0 | 75.0 |
| Adrian McIntyre | - | 1 | 12.9 | 6.0 | 1.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 9.0 | - | - | - | 100.0 | 100.0 | 100.0 | - | 123.0 | 125.0 |
| Vuk Boskovic | - | 1 | 17.7 | 5.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | - | - | - | 100.0 | 0 | 50.0 | - | 86.8 | 100.0 |
| Caleb Versher | - | 1 | 16.4 | 5.0 | 4.0 | 2.0 | 1.0 | 0.0 | 4.0 | 5.0 | 3.0 | - | - | - | 40.0 | 50.0 | 0 | - | 50.0 | 50.0 |
| Piotr Winkowski | - | 1 | 15.4 | 4.0 | 7.0 | 0.0 | 0.0 | 2.0 | 1.0 | 3.0 | 9.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Dominique Ford | - | 1 | 10.7 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 4.0 | 1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Neel Beniwal | - | 1 | 7.4 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Emmanuel Callas | - | 1 | 11.1 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 1.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
| Nick Del Bosque | - | 1 | 3.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Josh Hecht | - | 1 | 4.3 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 3.0 | -3.0 | - | - | - | 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