SMU
2023 Team Stats (22 games)
71.5
PPG
76.8
Opp
-6.3
Margin
42.4%
FG%
31.7%
3P%
65.2%
FT%
35.1
RPG
14.5
APG
13.0
TO
83.3
Pace
Model Outputs
2022-2023
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 → | 1285 (#67) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1266 (#103) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +32.6 (#79) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.204 (#105) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.281 (#297) | NetEff -8.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.197 (#101) | AdjNet -12.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.198 (#101) | AdjNet -12.1 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zhuric Phelps
|
G | 22 | 30.7 | 16.4 | 3.6 | 3.5 | 2.5 | 0.4 | 2.5 | 15.5 | 8.4 | - | - | - | 37.6 | 29.1 | 55.7 | - | 45.4 | 42.4 |
Z. Nutall
|
- | 26 | 31.8 | 13.0 | 3.0 | 2.8 | 1.2 | 0.4 | 1.8 | 10.6 | 7.9 | - | - | - | 36.2 | 32.0 | 78.5 | - | 54.4 | 44.9 |
E. Odigie
|
- | 26 | 26.6 | 11.9 | 7.0 | 1.1 | 0.5 | 0.3 | 2.0 | 8.6 | 10.2 | - | - | - | 51.3 | 25.0 | 77.5 | - | 58.9 | 51.6 |
Samuell Williamson
|
- | 26 | 29.9 | 9.5 | 7.2 | 2.7 | 1.4 | 0.7 | 1.9 | 7.8 | 11.7 | - | - | - | 49.3 | 20.0 | 51.7 | - | 53.8 | 49.8 |
J. Smith
|
- | 26 | 27.0 | 5.1 | 1.4 | 2.7 | 0.6 | 0.3 | 1.4 | 4.0 | 4.6 | 31 | 2.2 | 3.4 | 41.0 | 29.5 | 71.4 | 1.2 | 54.8 | 49.5 |
S. Todorovic
|
- | 24 | 15.6 | 4.9 | 2.5 | 0.4 | 0.5 | 0.2 | 0.7 | 4.2 | 3.6 | - | - | - | 33.7 | 31.3 | 86.4 | - | 53.3 | 44.1 |
Ricardo Wright
|
- | 23 | 10.5 | 3.5 | 0.9 | 0.4 | 0.3 | 0.0 | 0.3 | 3.0 | 1.7 | 32 | 3.6 | 9.4 | 40.0 | 37.5 | 77.8 | 0.98 | 54.8 | 52.9 |
Keon Ambrose-Hylton
|
- | 26 | 14.5 | 3.2 | 2.8 | 0.2 | 0.2 | 0.7 | 0.3 | 2.0 | 4.8 | - | - | - | 68.6 | 66.7 | 47.8 | - | 67.9 | 70.6 |
Emory Lanier
|
- | 20 | 8.0 | 2.0 | 0.9 | 0.6 | 0.4 | 0.1 | 0.6 | 1.6 | 1.8 | - | - | - | 25.0 | 13.6 | 64.0 | 0.03 | 46.5 | 29.7 |
Mo Njie
|
- | 20 | 5.5 | 1.9 | 1.2 | 0.1 | 0.1 | 0.3 | 0.5 | 1.1 | 2.0 | -32 | -3.2 | -8.6 | 63.6 | 0 | 66.7 | 0.03 | 67.8 | 63.6 |
J. Koulibaly
|
- | 11 | 8.2 | 1.5 | 1.2 | 0.8 | 0.4 | 0.1 | 1.1 | 1.5 | 1.5 | -10 | -1.2 | -2.4 | 37.5 | 50.0 | 50.0 | 0.49 | 50.4 | 50.0 |
F. Agunanne
|
- | 13 | 5.6 | 0.5 | 1.5 | 0.1 | 0.0 | 0.0 | 0.3 | 0.5 | 1.2 | - | - | - | 28.6 | 0 | 50.0 | - | 44.4 | 28.6 |
X. Foster
|
F | 8 | 2.4 | 0.5 | 0.5 | 0.0 | 0.1 | 0.1 | 0.0 | 0.4 | 0.9 | - | - | - | 33.3 | 0.0 | 0 | - | 66.7 | 33.3 |
D. McBride
|
- | 10 | 5.2 | 0.3 | 0.4 | 0.1 | 0.1 | 0.1 | 0.2 | 0.4 | 0.4 | - | - | - | 25.0 | 33.3 | 0.0 | - | 30.7 | 37.5 |
T. Lundblade
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -15 | -1.2 | -1.2 | - | - | - | 0.92 | - | - |
T. Utter
|
- | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jackson Young
|
- | 5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | -0.6 | -3 | -0.2 | -0.9 | 0.0 | 0.0 | 0 | 0.39 | 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