San Diego State Aztecs
2023 Team Stats (4 games)
63.5
PPG
72.2
Opp
-11.8
Margin
43.9%
FG%
44.0%
3P%
76.2%
FT%
32.3
RPG
13.8
APG
12.3
TO
73.9
Pace
Model Outputs
2022-2023
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 → | 1273 (#32) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1289 (#45) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.4 (#106) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.661 (#129) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-07 | @ | Stanford Cardinal | L | 48 - 86 |
| 2023-01-16 | @ | Colorado State Rams | L | 58 - 71 |
| 2023-02-25 | @ | UNLV Lady Rebels | L | 59 - 65 |
| 2023-03-06 | @ | New Mexico Lobos | W | 69 - 68 |
| 2023-03-07 | @ | UNLV Lady Rebels | L | 68 - 71 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Ramos
|
G | 4 | 36.2 | 14.8 | 4.0 | 5.0 | 1.0 | 0.2 | 1.8 | 12.2 | 11.0 | - | - | - | 42.9 | 50.0 | 80.0 | - | 55.2 | 52.0 |
A. Prohaska
|
G | 4 | 22.0 | 12.5 | 3.5 | 0.2 | 0.8 | 0.0 | 1.0 | 11.8 | 4.2 | - | - | - | 44.7 | 25.0 | 83.3 | - | 50.4 | 47.9 |
Y. Morris
|
F | 4 | 27.8 | 9.5 | 4.8 | 0.2 | 0.2 | 1.5 | 2.8 | 7.2 | 6.2 | - | - | - | 51.7 | 0 | 100.0 | - | 58.4 | 51.7 |
M. Staples
|
G | 4 | 30.0 | 9.0 | 2.2 | 1.8 | 0.2 | 0.0 | 0.5 | 6.5 | 6.2 | - | - | - | 53.8 | 57.1 | 0 | - | 69.2 | 69.2 |
K. Villalobos
|
F | 4 | 22.8 | 8.5 | 6.2 | 0.5 | 0.5 | 0.2 | 2.2 | 8.5 | 5.2 | - | - | - | 41.2 | 0.0 | 75.0 | - | 45.3 | 41.2 |
A. Avinger
|
G | 4 | 32.5 | 7.0 | 5.2 | 4.2 | 1.5 | 0.2 | 2.8 | 9.0 | 6.5 | - | - | - | 33.3 | 0.0 | 50.0 | - | 35.4 | 33.3 |
A. Crain
|
G | 3 | 14.7 | 1.3 | 0.3 | 1.0 | 0.0 | 0.0 | 0.3 | 0.3 | 2.0 | - | - | - | 100.0 | 100.0 | 50.0 | - | 106.4 | 150.0 |
S. Barcello
|
G | 4 | 9.8 | 0.8 | 2.5 | 0.2 | 0.2 | 0.2 | 0.2 | 0.5 | 3.2 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
K. Pepe
|
G | 4 | 7.8 | 0.5 | 1.2 | 0.8 | 0.0 | 0.5 | 0.2 | 1.0 | 1.8 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
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