San Diego State Aztecs
2024 Team Stats (37 games)
74.1
PPG
66.7
Opp
+7.4
Margin
44.0%
FG%
31.5%
3P%
73.3%
FT%
37.8
RPG
13.0
APG
11.2
TO
79.1
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 → | 1423 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1405 (#23) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.3 (#38) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.648 (#23) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.737 (#50) | NetEff +9.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.740 (#27) | AdjNet +9.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.740 (#28) | AdjNet +9.1 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jaedon Ledee
|
- | 36 | 32.6 | 21.4 | 8.4 | 1.3 | 1.2 | 0.5 | 2.4 | 13.1 | 17.5 | 45 | 4.1 | 6.1 | 56.0 | 44.4 | 73.4 | 0.51 | 63.7 | 58.1 |
R. Waters
|
- | 37 | 25.6 | 9.6 | 3.7 | 1.2 | 0.6 | 0.2 | 1.0 | 8.2 | 6.0 | -29 | -2.6 | -6.4 | 40.1 | 34.3 | 90.3 | -0.51 | 52.9 | 47.7 |
Lamont Butler
|
G | 37 | 27.6 | 9.3 | 2.6 | 3.0 | 1.5 | 0.2 | 1.5 | 8.2 | 7.0 | 15 | 1.2 | 2.5 | 42.1 | 30.2 | 59.4 | 0.09 | 49.8 | 47.4 |
Micah Parrish
|
- | 37 | 27.5 | 9.3 | 4.1 | 1.9 | 1.2 | 0.4 | 0.8 | 8.4 | 7.6 | 39 | 2.8 | 6.3 | 39.0 | 29.2 | 73.7 | 0.61 | 50.2 | 46.6 |
Darrion Trammell
|
- | 35 | 27.7 | 7.8 | 2.5 | 3.2 | 1.2 | 0.1 | 1.4 | 6.7 | 6.8 | 53 | 4.8 | 7.7 | 38.3 | 32.5 | 81.8 | 0.59 | 51.7 | 46.6 |
E. Saunders
|
- | 37 | 20.2 | 6.2 | 3.6 | 0.8 | 0.5 | 0.3 | 0.8 | 5.4 | 5.2 | 1 | 0.1 | 0.2 | 41.9 | 32.2 | 96.0 | 0.13 | 54.8 | 51.8 |
Jay Pal
|
- | 37 | 17.1 | 5.1 | 4.2 | 0.8 | 0.3 | 1.0 | 1.2 | 3.6 | 6.4 | 26 | 2.4 | 6.1 | 45.5 | 30.6 | 70.1 | 0.13 | 55.7 | 49.6 |
M. Byrd
|
- | 34 | 14.1 | 4.0 | 2.5 | 0.9 | 0.8 | 0.6 | 0.9 | 3.6 | 4.4 | 1 | 0.1 | 0.3 | 38.0 | 31.1 | 84.6 | 0.03 | 51.7 | 47.5 |
M. Heide
|
- | 37 | 8.7 | 1.9 | 2.2 | 0.1 | 0.2 | 0.5 | 0.5 | 1.3 | 3.1 | -15 | -1.4 | -8.8 | 63.3 | 0.0 | 36.8 | -0.18 | 60.1 | 63.3 |
BJ Davis
|
- | 12 | 5.4 | 1.2 | 0.4 | 0.1 | 0.2 | 0.1 | 0.3 | 1.2 | 0.3 | 0 | 0.0 | 0.0 | 20.0 | 9.1 | 77.8 | -0.03 | 36.9 | 23.3 |
C. Lawin
|
- | 9 | 2.4 | 0.7 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.7 | 0.2 | 4 | 0.8 | 32.0 | 33.3 | 25.0 | 33.3 | 0.04 | 41.0 | 41.7 |
D. Johnson Jr.
|
- | 16 | 4.8 | 0.4 | 0.9 | 0.1 | 0.2 | 0.2 | 0.2 | 0.4 | 1.1 | 0 | 0.0 | 0.0 | 42.9 | 0 | 0.0 | -0.05 | 32.6 | 42.9 |
Cade Alger
|
- | 9 | 2.2 | 0.4 | 0.6 | 0.1 | 0.0 | 0.0 | 0.2 | 0.8 | 0.1 | 0 | 0.0 | 0.0 | 14.3 | 0.0 | 100.0 | -0.02 | 25.4 | 14.3 |
M. Gwath
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Ryan Schwarz
|
- | 7 | 2.9 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 0.9 | -0.9 | 3 | 1.0 | 24.0 | 0.0 | 0.0 | 0 | 0.04 | 0.0 | 0.0 |
Desai Lopez
|
- | 3 | 2.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -0.3 | - | - | - | 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