San Diego
2026 Team Stats (31 games)
73.0
PPG
77.7
Opp
-4.7
Margin
44.1%
FG%
35.1%
3P%
74.1%
FT%
31.2
RPG
15.7
APG
12.3
TO
78.7
Pace
74.9
AdjO
78.5
AdjD
#214
Rank
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 → | 793 (#331) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 872 (#277) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#259) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 901 (#668) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.9 (#221) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.6 (#251) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.9 (#431) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.286 (#294) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.620 (#140) | NetEff +5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.375 (#214) | AdjNet -4.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.376 (#214) | AdjNet -4.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.419 (#214) | AdjO 74.9 | AdjD 78.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.483 (#321) | AdjO 72.6 | AdjD 73.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.420 (#574) | AdjO 72.1 | AdjD 75.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.626 (#267) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.356 (#431) | 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 → | 0.572 (#280) | 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 → | 0.384 (#415) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 963 (#271) | RD 150 | GP 31 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 921 (#407) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Johnson
|
G | 22 | 28.0 | 14.7 | 2.8 | 4.5 | 2.2 | 0.3 | 2.9 | 12.2 | 9.2 | 67 | 5.2 | 10.1 | 43.1 | 31.6 | 82.5 | 0.73 | 53.1 | 47.8 |
T. Lane
|
G | 31 | 27.0 | 11.3 | 2.0 | 0.7 | 0.6 | 0.1 | 0.6 | 8.7 | 5.5 | 4 | 0.2 | 0.3 | 44.4 | 43.8 | 84.2 | -0.79 | 61.0 | 58.9 |
J. Gorosito
|
G | 31 | 24.3 | 10.5 | 2.7 | 2.1 | 1.1 | 0.1 | 1.3 | 8.9 | 6.4 | -13 | -0.6 | -1.1 | 40.0 | 38.2 | 83.3 | -0.47 | 55.0 | 52.0 |
Adrian Mcintyre
|
- | 31 | 25.2 | 10.0 | 3.6 | 3.0 | 1.3 | 0.0 | 1.5 | 7.4 | 9.0 | 25 | 1.1 | 2.1 | 51.5 | 31.6 | 73.5 | -0.05 | 59.9 | 56.8 |
Vuk Boskovic
|
- | 31 | 20.6 | 6.1 | 3.1 | 2.1 | 0.4 | 0.2 | 1.6 | 4.8 | 5.4 | 24 | 1.0 | 2.3 | 42.7 | 35.0 | 58.5 | 0.21 | 55.9 | 54.7 |
T. Moore Jr.
|
- | 29 | 14.8 | 5.8 | 2.3 | 0.3 | 0.4 | 0.7 | 0.5 | 4.9 | 4.1 | 160 | 9.4 | 17.9 | 44.4 | 20.8 | 72.1 | 1.69 | 52.2 | 48.2 |
A. Diop
|
F | 27 | 18.8 | 5.7 | 5.0 | 1.1 | 0.2 | 0.4 | 1.2 | 4.6 | 6.7 | 78 | 3.9 | 10.3 | 49.6 | 40.5 | 59.3 | 0.41 | 57.5 | 56.5 |
D. Ford
|
- | 29 | 16.8 | 4.9 | 2.0 | 0.7 | 0.9 | 0.0 | 0.6 | 4.5 | 3.4 | 57 | 2.2 | 7.0 | 38.2 | 20.0 | 75.0 | 0.23 | 46.9 | 41.2 |
Darrae Goodwin
|
- | 13 | 14.8 | 4.9 | 2.6 | 0.8 | 0.2 | 0.4 | 0.8 | 3.9 | 4.2 | -1 | -0.1 | -0.2 | 47.1 | 35.3 | 57.1 | -0.36 | 59.2 | 58.8 |
G. Ripp
|
- | 24 | 17.3 | 4.0 | 2.4 | 1.5 | 0.5 | 0.1 | 1.0 | 3.5 | 4.0 | -14 | -0.8 | -3.0 | 44.0 | 25.0 | 78.3 | -0.38 | 51.0 | 46.4 |
Brandon Benjamin
|
- | 18 | 7.1 | 2.9 | 1.1 | 0.9 | 0.3 | 0.1 | 0.7 | 2.2 | 2.3 | -24 | -1.8 | -15.1 | 55.0 | 25.0 | 70.0 | -0.23 | 58.6 | 56.2 |
Alejandro Aviles
|
- | 22 | 9.8 | 2.2 | 1.4 | 0.8 | 0.3 | 0.3 | 0.5 | 2.2 | 2.3 | -23 | -1.4 | -4.8 | 37.5 | 0.0 | 80.0 | -0.55 | 44.0 | 37.5 |
Piotr Winkowski
|
- | 14 | 5.9 | 1.8 | 1.5 | 0.1 | 0.3 | 0.8 | 0.5 | 1.4 | 2.6 | 0 | 0.0 | 0.0 | 52.6 | 0 | 45.5 | -0.38 | 52.4 | 52.6 |
Caleb Versher
|
- | 3 | 6.7 | 1.7 | 1.7 | 1.0 | 0.3 | 0.0 | 1.3 | 2.0 | 1.3 | -4 | -1.3 | -46.8 | 33.3 | 50.0 | 0 | 0.07 | 41.7 | 41.7 |
E. Callas
|
- | 18 | 7.4 | 0.6 | 1.2 | 0.2 | 0.5 | 0.2 | 0.2 | 0.6 | 1.9 | 2 | 0.2 | 3.2 | 36.4 | 0 | 50.0 | -0.02 | 39.2 | 36.4 |
N. Beniwal
|
- | 7 | 2.6 | 0.4 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | 0.1 | 16 | 2.0 | 37.6 | 33.3 | 33.3 | 0 | 0.27 | 50.0 | 50.0 |
J. Hecht
|
- | 7 | 1.6 | 0.0 | 0.1 | 0.0 | 0.1 | 0.0 | 0.6 | 0.7 | -1.0 | 12 | 1.7 | 33.4 | 0.0 | 0.0 | 0 | 0.16 | 0.0 | 0.0 |
K. Bradley Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 120 | 7.1 | 12.0 | - | - | - | 0.82 | - | - |
N. Del Bosque
|
- | 5 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | -0.6 | -4 | -0.7 | -41.4 | 0.0 | 0 | 0 | -0.03 | 0.0 | 0.0 |
Boden Grant
|
G | 0 | - | 0.0 | 0.0 | 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