San Diego State Aztecs
2024 Team Stats (5 games)
52.6
PPG
75.8
Opp
-23.2
Margin
33.6%
FG%
25.6%
3P%
82.3%
FT%
29.6
RPG
9.8
APG
12.4
TO
74.5
Pace
Model Outputs
2023-2024
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 → | 1210 (#30) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1269 (#41) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.1 (#90) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.739 (#104) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.487 (#52) | AdjNet -0.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.483 (#52) | AdjNet -0.6 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-01 | vs | Stanford Cardinal | L | 44 - 85 |
| 2023-12-11 | @ | Seattle U Redhawks | W | 69 - 61 |
| 2024-01-17 | vs | UNLV Lady Rebels | L | 60 - 67 |
| 2024-03-02 | @ | UNLV Lady Rebels | L | 41 - 100 |
| 2024-03-13 | @ | UNLV Lady Rebels | L | 49 - 66 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Quezada
|
F | 5 | 25.8 | 14.4 | 4.4 | 0.6 | 1.2 | 0.2 | 2.2 | 11.2 | 7.4 | 42 | 4.7 | 5.1 | 50.0 | 33.3 | 93.3 | 0.44 | 57.5 | 51.8 |
J. Lewis
|
G | 5 | 30.4 | 10.0 | 2.4 | 1.0 | 0.2 | 0.2 | 0.4 | 9.6 | 3.8 | 39 | 4.3 | 4.3 | 35.4 | 32.3 | 75.0 | 0.47 | 48.5 | 45.8 |
A. Prohaska
|
G | 5 | 28.2 | 8.2 | 4.8 | 2.6 | 0.8 | 0.2 | 1.8 | 9.6 | 5.2 | 33 | 3.7 | 5.4 | 31.2 | 22.2 | 90.0 | 0.3 | 39.1 | 33.3 |
K. Villalobos
|
F | 5 | 26.0 | 7.2 | 4.6 | 3.0 | 1.6 | 1.4 | 2.0 | 10.2 | 5.6 | 42 | 4.7 | 5.1 | 31.4 | 0.0 | 66.7 | 0.61 | 33.6 | 31.4 |
S. Barcello
|
G | 5 | 28.6 | 4.4 | 3.0 | 0.2 | 0.6 | 0.6 | 0.8 | 3.0 | 5.0 | -2 | -0.2 | -0.3 | 40.0 | 33.3 | 87.5 | 0.16 | 59.4 | 50.0 |
K. Pepe
|
G | 5 | 17.2 | 3.2 | 2.0 | 0.8 | 1.2 | 0.6 | 1.8 | 4.6 | 1.4 | -56 | -6.2 | -18.1 | 17.4 | 12.5 | 87.5 | -0.68 | 30.2 | 19.6 |
M. Fiso
|
G | 5 | 14.4 | 2.2 | 2.4 | 0.2 | 0.2 | 0.2 | 1.2 | 3.4 | 0.6 | -9 | -1.0 | -2.8 | 29.4 | 14.3 | 0.0 | 0.08 | 30.8 | 32.4 |
J. Green
|
G | 2 | 18.5 | 1.5 | 2.0 | 0.5 | 0.0 | 0.0 | 2.5 | 3.5 | -2.0 | 1 | 0.2 | 0.2 | 14.3 | 0.0 | 100.0 | -0.04 | 20.2 | 14.3 |
A. Jackson
|
G | 5 | 11.6 | 1.4 | 0.6 | 0.4 | 0.2 | 0.0 | 0.0 | 1.4 | 1.2 | 122 | 10.2 | 11.3 | 28.6 | 40.0 | 50.0 | 1.44 | 44.4 | 42.9 |
M. Davis
|
G | 4 | 11.2 | 1.2 | 1.5 | 0.8 | 0.0 | 0.0 | 0.5 | 2.8 | 0.2 | 85 | 7.7 | 16.5 | 9.1 | 12.5 | 100.0 | 0.62 | 21.0 | 13.6 |
N. Grizelj
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Chen
|
G | 1 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Trahan
|
G | 1 | 2.0 | 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
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