SMU
2026 Team Stats (33 games)
83.8
PPG
77.9
Opp
+5.9
Margin
49.0%
FG%
37.5%
3P%
73.4%
FT%
37.6
RPG
16.9
APG
11.2
TO
82.2
Pace
86.7
AdjO
71.3
AdjD
#40
Rank
Model Outputs
2025-2026
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 → | 1029 (#158) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1201 (#50) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#233) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.4 (#39) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +22.9 (#69) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.705 (#65) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.836 (#66) | NetEff +15.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.903 (#43) | AdjNet +19.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.906 (#43) | AdjNet +19.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.803 (#40) | AdjO 86.7 | AdjD 71.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.623 (#93) | AdjO 78.5 | AdjD 73.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.883 (#62) | 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 → | 0.841 (#67) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1168 (#79) | RD 114 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Miller
|
- | 32 | 35.0 | 19.1 | 3.7 | 6.5 | 1.5 | 0.1 | 2.5 | 13.0 | 15.2 | 82 | 3.7 | 6.5 | 47.0 | 42.3 | 85.9 | 1.28 | 61.6 | 54.9 |
J. Pierre Jr.
|
G | 33 | 32.9 | 17.1 | 4.9 | 2.2 | 1.0 | 0.4 | 1.9 | 13.9 | 9.7 | 278 | 11.6 | 17.6 | 45.4 | 37.0 | 74.2 | 2.33 | 56.3 | 53.8 |
B.J. Edwards
|
- | 27 | 32.9 | 12.9 | 5.8 | 4.7 | 2.3 | 0.2 | 1.9 | 9.9 | 14.0 | 105 | 5.2 | 8.0 | 48.1 | 37.8 | 76.6 | 0.95 | 59.0 | 56.0 |
C. Washington
|
F | 33 | 27.5 | 11.3 | 5.0 | 0.9 | 0.9 | 0.5 | 1.0 | 7.5 | 10.0 | 159 | 8.0 | 15.5 | 47.8 | 38.9 | 76.3 | 1.74 | 61.8 | 56.6 |
S. Yigitoglu
|
- | 33 | 29.0 | 10.6 | 7.8 | 1.6 | 0.5 | 1.2 | 1.8 | 7.2 | 12.8 | 66 | 3.0 | 6.1 | 62.3 | 0.0 | 49.5 | 1.17 | 61.3 | 62.3 |
Jaden Toombs
|
- | 26 | 20.3 | 8.5 | 4.7 | 1.2 | 0.5 | 0.6 | 0.8 | 6.4 | 8.3 | -61 | -4.7 | -12.2 | 57.8 | 23.1 | 65.7 | -0.56 | 60.9 | 59.6 |
Jermaine O'Neal, Jr.
|
- | 33 | 15.1 | 4.5 | 2.1 | 0.4 | 0.5 | 0.3 | 0.5 | 4.2 | 3.2 | 278 | 11.6 | 17.6 | 42.3 | 37.1 | 91.7 | 2.33 | 52.7 | 50.7 |
S. Walters
|
F | 24 | 9.2 | 2.6 | 1.0 | 0.4 | 0.0 | 0.1 | 0.4 | 2.5 | 1.3 | -25 | -1.9 | -13.0 | 40.0 | 34.9 | 0.0 | -0.25 | 52.1 | 52.5 |
M. Holmes
|
- | 25 | 5.0 | 1.7 | 0.9 | 0.2 | 0.1 | 0.2 | 0.2 | 1.1 | 1.8 | 3 | 0.2 | 1.7 | 70.4 | 0 | 100.0 | -0.1 | 73.6 | 70.4 |
B.J. Davis-Ray
|
- | 31 | 7.2 | 1.3 | 0.7 | 0.4 | 0.3 | 0.0 | 0.3 | 1.4 | 1.1 | -41 | -2.2 | -16.7 | 38.1 | 25.0 | 75.0 | -0.5 | 45.7 | 44.0 |
C. Puryear
|
- | 14 | 2.5 | 0.3 | 0.4 | 0.0 | 0.0 | 0.1 | 0.3 | 0.4 | 0.1 | -6 | -0.8 | -14.2 | 20.0 | 33.3 | 33.3 | -0.26 | 31.6 | 30.0 |
Nigel Walls
|
- | 9 | 3.3 | 0.0 | 0.2 | 0.2 | 0.2 | 0.4 | 0.2 | 0.2 | 0.7 | 2 | 0.3 | 4.4 | 0.0 | 0.0 | 0 | 0.01 | 0.0 | 0.0 |
T. Utter
|
- | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -14 | -7.0 | -245.3 | 0 | 0 | 0 | -0.11 | 0 | 0 |
N. Kalischer-Stork
|
- | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | -9 | -4.5 | -440.8 | 0 | 0 | 0.0 | -0.02 | 0.0 | 0 |
Billy White III
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 150 | 7.1 | 13.2 | - | - | - | 1.48 | - | - |
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