SMU Mustangs
2026 Team Stats (25 games)
61.6
PPG
77.0
Opp
-15.4
Margin
37.5%
FG%
32.6%
3P%
68.6%
FT%
33.8
RPG
10.5
APG
17.5
TO
83.8
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 895 (#535) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.4 (#304) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.218 (#583) | AdjO 57.9 | AdjD 72.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.531 (#280) | 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 → | 0.441 (#311) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 878 (#446) | RD 169 | GP 25 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Skinner
|
G | 5 | 30.2 | 16.0 | 1.8 | 4.2 | 1.0 | 0.0 | 2.2 | 12.0 | 8.8 | -38 | -4.8 | -5.4 | 40.0 | 37.9 | 91.3 | -2.24 | 57.0 | 49.2 |
Z. King
|
G | 25 | 29.8 | 14.9 | 2.3 | 1.5 | 1.5 | 0.1 | 3.2 | 12.8 | 4.2 | -68 | -3.1 | -3.7 | 42.1 | 39.6 | 70.6 | 0.88 | 51.9 | 48.6 |
K. Deck
|
G | 8 | 34.4 | 11.4 | 2.4 | 1.8 | 3.6 | 0.5 | 1.2 | 10.8 | 7.6 | 47 | 3.6 | 3.6 | 36.0 | 38.9 | 78.9 | 4.79 | 48.2 | 44.2 |
S. Jah
|
F | 23 | 20.9 | 9.1 | 4.7 | 1.0 | 1.3 | 0.4 | 3.0 | 9.5 | 4.1 | -105 | -5.8 | -11.8 | 35.6 | 16.7 | 65.8 | -1.11 | 41.8 | 37.0 |
P. Paris
|
G | 15 | 25.9 | 8.9 | 2.9 | 1.7 | 1.1 | 0.1 | 2.1 | 9.9 | 2.8 | -27 | -1.3 | -2.0 | 37.8 | 22.0 | 53.3 | 2.49 | 43.0 | 42.2 |
A. Brown
|
F | 25 | 23.6 | 7.3 | 5.4 | 0.6 | 1.0 | 1.3 | 1.5 | 6.3 | 7.8 | 251 | 16.7 | 19.6 | 36.1 | 42.9 | 79.1 | 5.14 | 48.5 | 40.8 |
A. Thompson
|
G | 25 | 27.4 | 6.7 | 2.3 | 1.9 | 1.4 | 0.3 | 2.6 | 7.0 | 3.0 | -56 | -2.5 | -3.7 | 32.8 | 37.5 | 71.9 | -0.61 | 44.4 | 41.4 |
J. Harriel
|
G | 11 | 20.1 | 5.6 | 2.9 | 1.5 | 0.5 | 0.5 | 1.8 | 5.2 | 4.0 | -20 | -1.2 | -2.4 | 36.8 | 37.0 | 83.3 | 0.22 | 49.8 | 45.6 |
G. Hall
|
F | 22 | 23.9 | 5.0 | 4.2 | 1.3 | 1.2 | 1.8 | 1.3 | 5.1 | 7.0 | -63 | -3.3 | -6.5 | 36.3 | 30.2 | 57.7 | -2.33 | 44.2 | 42.0 |
M. Ibezim
|
F | 25 | 18.9 | 4.0 | 4.4 | 0.6 | 0.4 | 0.3 | 1.6 | 3.2 | 4.9 | -48 | -2.2 | -3.9 | 50.0 | 0.0 | 45.2 | -1.81 | 50.3 | 50.0 |
E. Filchagina
|
F | 17 | 7.0 | 1.1 | 1.0 | 0.1 | 0.1 | 0.0 | 0.5 | 1.7 | 0.0 | 5 | 0.4 | 2.4 | 27.6 | 10.0 | 50.0 | 0.16 | 30.1 | 29.3 |
J. Gipson
|
F | 17 | 20.4 | 1.0 | 2.0 | 0.9 | 0.6 | 0.1 | 0.9 | 2.0 | 1.8 | -67 | -7.4 | -18.0 | 17.6 | 5.9 | 50.0 | -3.47 | 22.7 | 19.1 |
E. Hill
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Rolf
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Roxy White
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 7 | 0.4 | 1.5 | - | - | - | -0.53 | - | - |
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