San Diego State Aztecs
2019 Team Stats (7 games)
64.9
PPG
63.4
Opp
+1.5
Margin
38.1%
FG%
33.6%
3P%
68.0%
FT%
36.7
RPG
12.1
APG
12.4
TO
78.7
Pace
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 → | 1614 (#21) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1412 (#68) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.4 (#35) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.339 (#52) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.174 (#63) | NetEff -12.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.380 (#77) | AdjNet -4.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.378 (#77) | AdjNet -4.3 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-19 | vs | Duke Blue Devils | L | 64 - 90 |
| 2018-11-27 | vs | Jackson State Tigers | W | 87 - 44 |
| 2019-01-01 | vs | Cal State Northridge Matadors | W | 65 - 60 |
| 2019-02-20 | vs | Nevada Wolf Pack | W | 65 - 57 |
| 2019-03-09 | @ | Nevada Wolf Pack | L | 53 - 81 |
| 2019-03-14 | vs | UNLV Rebels | W | 63 - 55 |
| 2019-03-15 | @ | Nevada Wolf Pack | W | 65 - 56 |
| 2019-03-16 | @ | Utah State Aggies | L | 57 - 64 |
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/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 | -20 | -1.7 | -5.1 | 38.8 | 37.5 | 75.7 | 0.33 | 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 | - | - | - | 38.1 | 30.0 | 72.0 | - | 44.7 | 39.9 |
J. Hemsley
|
G | 7 | 30.0 | 10.3 | 3.9 | 2.3 | 1.0 | 0.3 | 1.9 | 9.0 | 6.9 | - | - | - | 41.3 | 33.3 | 70.6 | - | 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 | 36 | 2.8 | 3.6 | 34.8 | 31.0 | 66.7 | 1.27 | 46.4 | 41.7 |
J. Schakel
|
- | 7 | 19.9 | 4.9 | 2.3 | 0.6 | 0.9 | 0.0 | 0.4 | 3.7 | 4.4 | - | - | - | 38.5 | 27.8 | 81.8 | - | 55.1 | 48.1 |
Nathan Mensah
|
- | 8 | 16.4 | 3.6 | 5.2 | 0.6 | 0.1 | 0.6 | 0.8 | 4.1 | 5.4 | - | - | - | 33.3 | 0 | 37.5 | - | 39.7 | 33.3 |
N. Narain
|
F | 7 | 10.3 | 2.6 | 1.7 | 0.0 | 0.4 | 0.0 | 0.3 | 1.6 | 2.9 | - | - | - | 54.5 | 100.0 | 55.6 | - | 60.2 | 59.1 |
A. Seiko
|
- | 8 | 9.0 | 2.2 | 0.8 | 0.4 | 0.8 | 0.0 | 0.6 | 0.5 | 3.0 | - | - | - | 75.0 | 66.7 | 62.5 | - | 119.7 | 100.0 |
A. Arop
|
- | 8 | 16.8 | 2.2 | 2.9 | 1.1 | 0.8 | 1.1 | 0.5 | 2.8 | 4.9 | - | - | - | 36.4 | 0.0 | 50.0 | - | 37.9 | 36.4 |
Ed Chang
|
- | 3 | 3.7 | 1.0 | 0.0 | 0.3 | 0.0 | 0.7 | 0.3 | 1.0 | 0.7 | - | - | - | 33.3 | 33.3 | 0 | - | 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 | - | - | - | 16.7 | 0 | 50.0 | - | 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 | - | - | - | 0.0 | 0.0 | 50.0 | - | 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