San Diego State Aztecs
2019 Team Stats (7 games)
64.9
PPG
63.9
Opp
+1.0
Margin
38.1%
FG%
33.6%
3P%
68.0%
FT%
36.7
RPG
12.1
APG
12.4
TO
-
Est. poss./game
69.3
Adj PPG
65.0
Adj Opp PPG
#110
Scoring Rank
Model Outputs
2018-2019
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1088 (#111) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1064 (#76) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +4.6 (#110) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +3.0 (#122) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.615 (#102) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.705 (#103) | AdjNet +7.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.708 (#103) | AdjNet +7.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.597 (#110) | AdjO 69.3 | AdjD 65.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.560 (#103) | AdjO 65.5 | AdjD 62.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.636 (#91) | 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 โ | 0.629 (#88) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1114 (#87) | RD 124 | GP 33 |
2019 Schedule & Results
2019 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Watson
|
G | 7 | 35.7 | 15.9 | 3.7 | 4.0 | 1.0 | 0.0 | 1.9 | 11.4 | 11.3 | 79 | 29 | 2.7 | 3.4 | 38.8 | 37.5 | 75.7 | -1.11 | 57.6 | 51.9 |
J. McDaniels
|
- | 7 | 30.0 | 12.1 | 7.1 | 2.0 | 0.9 | 0.9 | 3.0 | 12.0 | 8.0 | 78 | 28 | 2.8 | 3.7 | 38.1 | 30.0 | 72.0 | -1.18 | 44.7 | 39.9 |
M. Bradley
|
- | 1 | 29.0 | 11.0 | 4.0 | 3.0 | 1.0 | 0.0 | 1.0 | 0.0 | 18.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Hemsley
|
G | 7 | 30.0 | 10.3 | 3.9 | 2.3 | 1.0 | 0.3 | 1.9 | 9.0 | 6.9 | 56 | 27 | 2.1 | 2.8 | 41.3 | 33.3 | 70.6 | 0.11 | 51.1 | 47.6 |
M. Mitchell
|
F | 7 | 29.1 | 10.1 | 5.1 | 1.0 | 0.6 | 0.3 | 2.4 | 9.4 | 5.3 | 108 | 29 | 3.7 | 6.0 | 34.8 | 31.0 | 66.7 | 2.22 | 46.4 | 41.7 |
Nathan Mensah
|
- | 34 | 18.9 | 5.6 | 5.5 | 0.6 | 0.3 | 1.1 | 0.6 | 1.5 | 10.9 | 169 | 29 | 5.8 | 13.1 | 46.2 | 0 | 57.1 | 5.27 | 163.3 | 46.2 |
J. Schakel
|
- | 7 | 19.9 | 4.9 | 2.3 | 0.6 | 0.9 | 0.0 | 0.4 | 3.7 | 4.4 | 105 | 24 | 4.4 | 7.9 | 38.5 | 27.8 | 81.8 | 3.17 | 55.1 | 48.1 |
A. Arop
|
- | 30 | 15.1 | 3.2 | 2.8 | 1.0 | 0.6 | 0.6 | 0.9 | 0.9 | 6.4 | -29 | 26 | -1.1 | -3.1 | 34.6 | 0.0 | 60.0 | -2.48 | 170.2 | 34.6 |
N. Narain
|
F | 7 | 10.3 | 2.6 | 1.7 | 0.0 | 0.4 | 0.0 | 0.3 | 1.6 | 2.9 | -15 | 25 | -0.6 | -2.1 | 54.5 | 100.0 | 55.6 | -1.72 | 60.2 | 59.1 |
A. Seiko
|
- | 32 | 12.1 | 2.2 | 1.0 | 0.6 | 0.3 | 0.0 | 0.6 | 0.3 | 3.2 | -5 | 27 | -0.2 | -0.6 | 66.7 | 62.5 | 50.0 | -2.96 | 257.5 | 94.4 |
Ed Chang
|
- | 3 | 3.7 | 1.0 | 0.0 | 0.3 | 0.0 | 0.7 | 0.3 | 1.0 | 0.7 | 13 | 11 | 1.2 | 11.2 | 33.3 | 33.3 | 0 | -0.2 | 50.0 | 50.0 |
J. Mensah
|
F | 3 | 6.0 | 1.0 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.3 | -8 | 12 | -0.7 | -4.7 | 16.7 | 0 | 50.0 | -2.34 | 21.8 | 16.7 |
M. Sohikish
|
G | 3 | 2.0 | 0.3 | 0.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.3 | 0.3 | 9 | 10 | 0.9 | 11.1 | 0.0 | 0.0 | 50.0 | -0.27 | 26.6 | 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