USC Trojans
2026 Team Stats (32 games)
69.7
PPG
64.2
Opp
+5.5
Margin
40.9%
FG%
30.8%
3P%
69.5%
FT%
36.7
RPG
16.2
APG
14.6
TO
84.0
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 → | 1024 (#160) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +33.4 (#31) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.732 (#46) | AdjO 71.7 | AdjD 60.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.957 (#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 → | 0.937 (#32) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1199 (#74) | RD 115 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Davidson
|
G | 32 | 34.6 | 17.9 | 5.6 | 4.1 | 2.0 | 2.0 | 3.0 | 16.9 | 11.8 | 113 | 5.1 | 5.6 | 40.0 | 29.6 | 72.8 | 4.53 | 48.6 | 45.5 |
K. Dunn
|
G | 32 | 32.0 | 15.2 | 5.0 | 2.0 | 1.2 | 0.4 | 1.9 | 11.7 | 10.2 | 65 | 3.0 | 3.2 | 47.5 | 37.8 | 74.1 | -1.33 | 59.3 | 57.0 |
K. Smith
|
G | 29 | 32.6 | 11.5 | 4.3 | 3.6 | 1.9 | 1.1 | 2.3 | 11.3 | 8.7 | 79 | 4.2 | 4.9 | 40.1 | 22.6 | 68.3 | 2.95 | 46.7 | 44.1 |
L. Jones
|
G | 32 | 24.0 | 10.5 | 1.6 | 1.6 | 0.7 | 0.2 | 1.9 | 9.0 | 3.8 | 79 | 3.2 | 5.6 | 38.3 | 32.7 | 84.4 | 1.53 | 52.4 | 47.2 |
M. Samuels
|
G | 30 | 23.6 | 3.4 | 2.6 | 2.4 | 1.5 | 0.2 | 1.6 | 3.7 | 4.8 | 66 | 3.5 | 4.5 | 31.2 | 22.7 | 61.1 | -0.08 | 39.9 | 35.7 |
D. Mendes
|
F | 32 | 13.9 | 3.0 | 2.8 | 0.9 | 0.3 | 0.3 | 1.1 | 2.8 | 3.4 | 37 | 1.7 | 5.3 | 37.4 | 32.7 | 61.1 | 2.68 | 48.0 | 46.2 |
L. Williams
|
F | 31 | 14.7 | 2.9 | 4.8 | 0.5 | 0.3 | 1.2 | 0.6 | 2.7 | 6.4 | 74 | 3.7 | 12.3 | 42.4 | 0.0 | 50.0 | 3.4 | 44.7 | 42.4 |
V. Iwuchukwu
|
F | 31 | 10.2 | 2.6 | 2.2 | 0.3 | 0.4 | 0.0 | 0.7 | 2.0 | 2.9 | 40 | 1.8 | 5.9 | 49.2 | 0 | 55.6 | 1.65 | 52.0 | 49.2 |
Y. Milton
|
F | 16 | 7.1 | 2.2 | 2.9 | 0.2 | 0.2 | 0.6 | 0.6 | 1.9 | 3.6 | -4 | -0.3 | -1.8 | 29.0 | 0 | 72.0 | -0.33 | 42.9 | 29.0 |
G. Raulusaityte
|
F | 32 | 13.5 | 2.2 | 2.8 | 0.8 | 0.2 | 0.2 | 0.8 | 1.6 | 3.8 | 23 | 1.1 | 2.4 | 48.1 | 0.0 | 64.5 | -0.21 | 53.3 | 48.1 |
R. Forestier
|
G | 13 | 5.5 | 1.8 | 0.6 | 0.5 | 0.1 | 0.0 | 0.4 | 2.0 | 0.5 | 5 | 0.5 | 5.5 | 30.8 | 26.1 | 50.0 | -0.86 | 42.8 | 42.3 |
B. Shamblin
|
G | 13 | 3.2 | 0.2 | 0.5 | 0.4 | 0.1 | 0.0 | 0.2 | 0.2 | 0.8 | 8 | 0.7 | 12.1 | 33.3 | 50.0 | 0 | 1.36 | 50.0 | 50.0 |
J. Watkins
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Sitaya Fagan
|
F | 0 | - | 0.0 | 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