San Diego State Aztecs
2026 Team Stats (30 games)
70.5
PPG
61.2
Opp
+9.3
Margin
44.7%
FG%
37.3%
3P%
76.9%
FT%
35.1
RPG
13.6
APG
12.5
TO
76.0
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1115 (#49) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.0 (#73) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.704 (#65) | AdjO 69.1 | AdjD 59.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.906 (#65) | 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 → | 0.888 (#64) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1268 (#37) | RD 107 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Panganiban
|
G | 30 | 29.0 | 14.6 | 1.9 | 2.3 | 0.8 | 0.1 | 1.6 | 11.5 | 6.7 | 110 | 5.0 | 8.1 | 42.2 | 38.8 | 85.7 | 2.89 | 56.3 | 50.7 |
N. Williams
|
G | 29 | 26.1 | 9.9 | 4.2 | 4.2 | 1.7 | 0.3 | 1.8 | 8.4 | 10.1 | 89 | 4.2 | 6.3 | 45.7 | 35.6 | 72.7 | 0.39 | 54.3 | 52.0 |
K. Lee
|
F | 30 | 23.9 | 9.5 | 5.3 | 0.8 | 0.6 | 0.3 | 1.4 | 7.4 | 7.7 | 29 | 1.3 | 2.1 | 46.6 | 40.0 | 74.5 | -0.96 | 58.5 | 56.1 |
N. Martinez
|
G | 30 | 28.2 | 9.3 | 2.8 | 1.9 | 0.7 | 0.2 | 1.9 | 6.8 | 6.2 | 54 | 2.5 | 3.9 | 41.9 | 36.1 | 83.3 | -0.94 | 58.8 | 52.7 |
K. Hamilton
|
G | 30 | 18.3 | 8.0 | 2.5 | 0.9 | 0.9 | 0.2 | 1.3 | 6.2 | 5.0 | 22 | 1.0 | 2.7 | 51.6 | 33.9 | 83.3 | -0.38 | 59.7 | 56.7 |
B. Barnhard
|
F | 30 | 21.5 | 7.4 | 5.2 | 1.1 | 0.5 | 0.7 | 0.6 | 6.7 | 7.7 | 97 | 4.4 | 7.9 | 44.5 | 39.1 | 66.7 | 3.08 | 51.1 | 49.0 |
A. Jackson
|
G | 29 | 16.3 | 3.9 | 3.8 | 0.7 | 0.6 | 0.1 | 1.1 | 3.8 | 4.1 | 278 | 13.2 | 18.1 | 43.2 | 31.8 | 56.2 | 3.4 | 47.4 | 46.4 |
M. Konstantinidou
|
F | 30 | 13.6 | 2.9 | 3.1 | 0.5 | 0.2 | 0.6 | 1.0 | 3.0 | 3.4 | 4 | 0.2 | 0.8 | 43.8 | 0.0 | 55.6 | 1.31 | 45.4 | 43.8 |
CJ Latta
|
G | 30 | 15.8 | 2.8 | 1.3 | 0.7 | 0.3 | 0.1 | 0.7 | 2.2 | 2.4 | 40 | 1.8 | 4.4 | 40.9 | 40.7 | 62.5 | -1.21 | 59.7 | 59.1 |
K. Mosley
|
G | 18 | 7.0 | 2.2 | 0.8 | 0.6 | 0.2 | 0.0 | 0.3 | 1.6 | 1.9 | 39 | 2.8 | 14.4 | 51.7 | 58.8 | 0 | 0.02 | 69.0 | 69.0 |
S. Kelemeni
|
G | 21 | 6.4 | 1.6 | 1.4 | 0.3 | 0.2 | 0.0 | 0.5 | 1.5 | 1.5 | -24 | -1.3 | -10.1 | 37.5 | 31.2 | 66.7 | 0.23 | 47.6 | 45.3 |
E. Chen
|
G | 11 | 1.5 | 0.4 | 0.1 | 0.1 | 0.1 | 0.0 | 0.3 | 0.3 | 0.1 | -9 | -1.3 | -31.5 | 66.7 | 0 | 0 | -0.86 | 66.7 | 66.7 |
A. Cook
|
C | 4 | 2.2 | 0.2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -4 | -0.8 | -22.4 | 0 | 0 | 50.0 | -0.35 | 56.8 | 0 |
Trinity Zamora
|
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