San Diego State Aztecs
2018 Team Stats (7 games)
76.3
PPG
68.4
Opp
+7.9
Margin
44.2%
FG%
34.0%
3P%
72.1%
FT%
38.6
RPG
13.6
APG
12.4
TO
-
Est. poss./game
75.9
Adj PPG
64.5
Adj Opp PPG
#42
Scoring Rank
Model Outputs
2017-2018
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 | 1284 (#40) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1162 (#69) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1136 (#22) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.1 (#42) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +14.0 (#25) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.789 (#34) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.875 (#45) | AdjNet +16.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.878 (#45) | AdjNet +17.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.737 (#42) | AdjO 75.9 | AdjD 64.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.718 (#19) | AdjO 74.0 | AdjD 63.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.799 (#28) | 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 | 0.796 (#25) | 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 | 1201 (#47) | RD 111 | GP 32 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Pope
|
F | 30 | 26.6 | 12.6 | 6.7 | 1.3 | 0.7 | 1.2 | 1.8 | 3.8 | 16.8 | 216 | 24 | 9.0 | 14.6 | 52.2 | 54.5 | 58.3 | 5.46 | 146.3 | 54.9 |
D. Watson
|
G | 31 | 31.4 | 12.5 | 2.6 | 3.6 | 0.9 | 0.0 | 1.8 | 3.5 | 14.4 | 184 | 25 | 7.4 | 10.3 | 38.3 | 36.0 | 77.8 | 2.71 | 153.0 | 46.7 |
J. McDaniels
|
- | 31 | 25.4 | 11.1 | 7.8 | 0.9 | 0.9 | 0.5 | 1.1 | 2.6 | 17.5 | 165 | 25 | 6.6 | 11.2 | 53.8 | 22.2 | 77.8 | 1.81 | 171.8 | 55.0 |
M. Mitchell
|
F | 31 | 27.1 | 10.9 | 3.9 | 1.7 | 1.1 | 0.2 | 2.0 | 3.0 | 12.9 | 150 | 25 | 6.0 | 9.9 | 50.0 | 44.6 | 76.5 | -0.83 | 157.5 | 63.6 |
T. Kell
|
G | 26 | 28.7 | 10.3 | 4.0 | 4.2 | 1.2 | 0.2 | 1.5 | 3.9 | 14.5 | 151 | 23 | 6.6 | 9.9 | 41.2 | 31.4 | 76.4 | 0.52 | 106.6 | 46.6 |
J. Hemsley
|
G | 30 | 21.7 | 7.3 | 1.7 | 1.9 | 0.6 | 0.2 | 1.7 | 2.3 | 7.6 | 73 | 24 | 3.0 | 6.5 | 42.9 | 33.3 | 61.1 | 1.3 | 127.0 | 50.7 |
M. Montana
|
F | 24 | 16.1 | 6.5 | 3.0 | 0.8 | 0.2 | 0.2 | 0.7 | 1.5 | 8.4 | -18 | 20 | -0.9 | -2.5 | 27.0 | 21.4 | 50.0 | -3.23 | 191.3 | 35.1 |
M. Gill-Caesar
|
G | 6 | 11.5 | 4.5 | 2.5 | 0.7 | 0.3 | 0.2 | 1.5 | 1.7 | 5.0 | 15 | 5 | 3.0 | 12.2 | 20.0 | 40.0 | 83.3 | -0.34 | 106.8 | 30.0 |
N. Narain
|
F | 21 | 10.2 | 4.5 | 1.8 | 0.3 | 0.2 | 0.1 | 0.8 | 0.6 | 5.6 | 2 | 18 | 0.1 | 0.5 | 50.0 | 0.0 | 50.0 | -1.07 | 321.0 | 50.0 |
J. Schakel
|
- | 31 | 13.9 | 3.1 | 2.0 | 0.6 | 0.4 | 0.1 | 0.3 | 0.8 | 5.1 | 29 | 25 | 1.2 | 3.8 | 20.0 | 23.5 | 60.0 | -1.74 | 165.0 | 28.0 |
K. Rooks
|
C | 26 | 10.9 | 3.0 | 3.5 | 0.3 | 0.2 | 0.8 | 0.4 | 0.9 | 6.4 | 45 | 21 | 2.1 | 9.3 | 66.7 | 0 | 70.6 | 0.51 | 122.3 | 66.7 |
M. Sohikish
|
G | 9 | 2.6 | 0.4 | 0.1 | 0.2 | 0.2 | 0.0 | 0.2 | 0.2 | 0.6 | -2 | 6 | -0.3 | -7.7 | 50.0 | 0 | 0 | -0.92 | 100.0 | 50.0 |
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