San Diego State Aztecs
2026 Team Stats (32 games)
77.8
PPG
70.7
Opp
+7.0
Margin
47.4%
FG%
34.4%
3P%
73.0%
FT%
35.3
RPG
15.0
APG
12.1
TO
79.9
Pace
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 → | 1108 (#90) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1123 (#80) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1046 (#106) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.1 (#54) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.4 (#41) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.726 (#74) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.729 (#54) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.662 (#46) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1211 (#48) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Reese Dixon-Waters
|
- | 30 | 30.3 | 13.3 | 3.4 | 1.3 | 0.7 | 0.1 | 1.4 | 10.3 | 7.1 | 49 | 2.6 | 3.9 | 43.2 | 35.5 | 88.0 | 0.68 | 56.9 | 51.3 |
BJ Davis
|
- | 31 | 22.4 | 10.7 | 3.2 | 2.2 | 1.1 | 0.1 | 0.9 | 7.8 | 8.5 | 33 | 2.5 | 62.0 | 42.1 | 37.1 | 84.5 | 0.17 | 57.3 | 49.6 |
M. Byrd
|
- | 31 | 27.9 | 9.8 | 4.6 | 2.5 | 1.9 | 1.1 | 1.8 | 8.5 | 9.5 | 69 | 3.3 | 7.0 | 39.2 | 28.8 | 77.3 | 0.88 | 51.0 | 46.4 |
M. Gwath
|
- | 23 | 19.4 | 9.1 | 4.3 | 0.3 | 0.4 | 1.5 | 1.5 | 6.3 | 8.0 | 4 | 0.3 | 0.7 | 52.8 | 45.5 | 59.4 | 0.1 | 61.0 | 59.7 |
Elzie Harrington
|
- | 22 | 20.5 | 7.8 | 1.6 | 2.3 | 0.7 | 0.1 | 1.5 | 5.9 | 5.0 | 21 | 1.9 | 72.3 | 50.0 | 44.1 | 81.2 | 0.07 | 59.3 | 55.8 |
P. Compton
|
- | 31 | 13.9 | 7.3 | 2.7 | 0.3 | 0.4 | 1.0 | 0.8 | 4.3 | 6.6 | 83 | 4.0 | 12.6 | 72.0 | 0.0 | 64.9 | 0.95 | 72.3 | 72.0 |
Tae Simmons
|
- | 30 | 14.6 | 6.0 | 3.5 | 0.3 | 0.4 | 0.2 | 0.5 | 3.3 | 6.6 | 23 | 2.1 | 82.6 | 65.3 | 25.0 | 62.8 | -0.02 | 67.6 | 66.3 |
M. Heide
|
- | 30 | 19.0 | 5.7 | 4.5 | 0.8 | 0.5 | 0.6 | 1.0 | 3.9 | 7.3 | 30 | 1.5 | 4.4 | 61.5 | 33.3 | 50.0 | 0.58 | 61.5 | 62.4 |
T. DeGourville
|
- | 31 | 19.4 | 5.4 | 2.8 | 3.2 | 0.9 | 0.1 | 1.5 | 5.1 | 5.7 | 50 | 2.5 | 5.9 | 35.8 | 32.7 | 66.7 | 0.82 | 45.7 | 41.2 |
J. Oden
|
- | 28 | 14.1 | 4.7 | 2.3 | 0.4 | 0.4 | 0.1 | 0.5 | 3.8 | 3.5 | 14 | 0.7 | 2.1 | 43.9 | 29.4 | 73.3 | 0.17 | 54.5 | 50.9 |
S. Newman Jr.
|
G | 31 | 15.3 | 3.2 | 1.2 | 2.4 | 0.5 | 0.0 | 0.9 | 2.8 | 3.7 | 50 | 2.3 | 7.9 | 37.2 | 28.6 | 84.8 | 0.13 | 49.7 | 41.9 |
C. Lawin
|
- | 7 | 1.9 | 1.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 1.1 | 0.6 | -11 | -2.2 | -220.0 | 62.5 | 50.0 | 0 | -0.02 | 81.2 | 81.2 |
Raymar Gonzales
|
G | 4 | 2.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.0 | 0 | 0.0 | 0.0 | 50.0 | 0.0 | 0 | -0.03 | 50.0 | 50.0 |
T. Majak
|
- | 8 | 3.8 | 0.2 | 1.6 | 0.0 | 0.0 | 0.2 | 0.4 | 0.8 | 1.0 | -5 | -0.7 | -16.3 | 16.7 | 0 | 0.0 | -0.18 | 15.5 | 16.7 |
L. Davis
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 47 | 2.1 | 4.1 | - | - | - | 0.38 | - | - |
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