SMU Mustangs
2025 Team Stats (6 games)
53.8
PPG
75.5
Opp
-21.7
Margin
34.1%
FG%
27.2%
3P%
60.9%
FT%
35.3
RPG
10.8
APG
16.8
TO
83.1
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-01-05 | vs | California Golden Bears | L | 66 - 81 |
| 2025-01-16 | vs | North Carolina Tar Heels | L | 33 - 64 |
| 2025-01-19 | @ | Notre Dame Fighting Irish | L | 64 - 88 |
| 2025-01-23 | vs | Duke Blue Devils | L | 46 - 81 |
| 2025-02-06 | @ | Georgia Tech Yellow Jackets | L | 69 - 70 |
| 2025-03-02 | vs | NC State Wolfpack | L | 45 - 69 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Robertson
|
G | 5 | 34.0 | 13.0 | 2.4 | 1.6 | 1.2 | 0.2 | 4.6 | 16.8 | -3.0 | -60 | -2.2 | -2.2 | 23.8 | 19.4 | 67.9 | -0.13 | 33.7 | 27.4 |
C. Embry
|
F | 1 | 25.0 | 12.0 | 3.0 | 1.0 | 0.0 | 1.0 | 3.0 | 6.0 | 8.0 | -10 | -0.7 | -0.9 | 66.7 | 75.0 | 50.0 | 0.2 | 87.2 | 91.7 |
Z. Jones
|
G | 6 | 33.8 | 10.2 | 2.3 | 4.0 | 0.7 | 0.3 | 3.0 | 11.2 | 3.3 | -17 | -0.6 | -1.0 | 40.3 | 27.8 | 66.7 | 0.44 | 44.6 | 44.0 |
J. Peterson
|
C | 6 | 27.7 | 8.3 | 11.8 | 0.5 | 0.3 | 0.2 | 2.3 | 10.2 | 8.7 | -5 | -0.2 | -0.2 | 37.7 | 0.0 | 33.3 | 0.98 | 37.7 | 37.7 |
K. Woods
|
F | 6 | 26.0 | 5.8 | 3.8 | 0.7 | 0.2 | 1.0 | 1.3 | 6.0 | 4.2 | -36 | -3.0 | -6.6 | 36.1 | 33.3 | 50.0 | 0.22 | 47.5 | 47.2 |
E. Brow
|
G | 4 | 21.0 | 5.2 | 1.8 | 2.0 | 0.5 | 0.0 | 2.5 | 6.5 | 0.5 | -19 | -1.3 | -1.6 | 26.9 | 33.3 | 80.0 | 0.04 | 37.2 | 32.7 |
TK Pitts
|
G | 6 | 23.8 | 5.0 | 3.3 | 1.5 | 2.5 | 0.0 | 1.2 | 5.3 | 5.8 | -38 | -1.2 | -1.7 | 34.4 | 0.0 | 72.7 | 0.47 | 40.7 | 34.4 |
S. Magolico
|
F | 5 | 12.6 | 3.6 | 2.6 | 0.2 | 0.2 | 1.2 | 0.8 | 2.6 | 4.4 | -22 | -0.8 | -3.7 | 61.5 | 0 | 40.0 | -0.25 | 59.2 | 61.5 |
K. Marshall
|
G | 6 | 13.0 | 3.2 | 1.0 | 0.2 | 0.5 | 0.0 | 0.3 | 3.2 | 1.3 | 6 | 0.2 | 0.5 | 36.8 | 28.6 | 100.0 | 0.23 | 48.9 | 47.4 |
D. Hall
|
G | 6 | 13.7 | 1.3 | 1.7 | 0.7 | 0.7 | 0.2 | 0.8 | 2.7 | 1.0 | -13 | -0.5 | -1.2 | 18.8 | 25.0 | 0 | 0.12 | 25.0 | 25.0 |
K. Cox
|
G | 4 | 7.5 | 1.0 | 1.0 | 0.5 | 0.2 | 0.2 | 0.5 | 1.8 | 0.8 | -1 | -0.1 | -0.2 | 28.6 | 0.0 | 0 | -0.29 | 28.6 | 28.6 |
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