USC Trojans
2025 Team Stats (34 games)
81.0
PPG
59.4
Opp
+21.3
Margin
44.1%
FG%
32.5%
3P%
77.2%
FT%
42.0
RPG
17.3
APG
14.5
TO
89.5
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 → | 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 |
2025 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Watkins
|
G | 33 | 33.8 | 23.9 | 6.8 | 3.4 | 2.2 | 1.8 | 3.2 | 18.1 | 16.8 | 104 | 3.2 | 3.3 | 42.6 | 32.5 | 82.0 | 1.6 | 55.3 | 47.9 |
K. Iriafen
|
- | 35 | 30.3 | 18.0 | 8.4 | 1.8 | 0.9 | 0.6 | 2.4 | 14.1 | 13.2 | 84 | 2.3 | 2.8 | 49.0 | 28.6 | 81.1 | 1.43 | 55.2 | 49.4 |
K. Smith
|
G | 28 | 29.1 | 9.5 | 4.3 | 2.0 | 2.2 | 0.7 | 1.9 | 8.3 | 8.6 | 97 | 3.5 | 3.9 | 41.2 | 30.3 | 68.5 | 1.63 | 51.8 | 49.1 |
R. Marshall
|
- | 33 | 24.6 | 7.9 | 8.4 | 2.4 | 1.2 | 2.1 | 1.6 | 6.8 | 13.6 | 112 | 3.4 | 4.6 | 48.0 | 50.0 | 75.4 | 1.37 | 52.4 | 48.7 |
A. Howell
|
G | 35 | 20.9 | 7.5 | 3.0 | 0.9 | 0.8 | 0.3 | 0.5 | 5.6 | 6.3 | 109 | 3.0 | 5.4 | 43.1 | 39.9 | 82.9 | 1.92 | 61.3 | 58.2 |
K. Heckel
|
G | 34 | 16.9 | 6.1 | 1.4 | 1.9 | 1.3 | 0.1 | 1.4 | 5.0 | 4.3 | 72 | 2.1 | 4.3 | 45.9 | 28.3 | 78.3 | 0.95 | 54.4 | 50.3 |
T. von Oelhoffen
|
G | 34 | 23.9 | 5.9 | 2.5 | 3.3 | 1.3 | 0.5 | 2.0 | 5.8 | 5.8 | 78 | 2.3 | 3.4 | 36.2 | 27.6 | 80.6 | 0.6 | 47.9 | 44.9 |
V. Iwuchukwu
|
F | 19 | 7.1 | 2.4 | 1.6 | 0.2 | 0.1 | 0.2 | 0.5 | 1.9 | 1.9 | 36 | 1.9 | 11.3 | 44.4 | 0 | 56.5 | -0.36 | 48.8 | 44.4 |
M. Samuels
|
G | 35 | 12.4 | 2.3 | 1.2 | 1.3 | 0.9 | 0.1 | 0.8 | 1.9 | 3.1 | 34 | 1.0 | 2.5 | 36.8 | 31.8 | 88.9 | 0.43 | 52.7 | 47.1 |
C. Akunwafo
|
C | 34 | 9.9 | 1.2 | 2.5 | 0.4 | 0.6 | 0.8 | 0.5 | 0.9 | 4.1 | -5 | -0.1 | -0.6 | 62.1 | 0 | 21.7 | 0.06 | 52.4 | 62.1 |
R. Forestier
|
G | 16 | 3.3 | 1.2 | 0.6 | 0.2 | 0.1 | 0.1 | 0.2 | 1.2 | 0.8 | 8 | 0.5 | 7.0 | 40.0 | 25.0 | 33.3 | -0.92 | 44.2 | 45.0 |
A. Gayles
|
G | 15 | 4.5 | 0.9 | 0.5 | 0.6 | 0.4 | 0.0 | 0.3 | 1.1 | 1.1 | 16 | 1.1 | 11.5 | 23.5 | 20.0 | 100.0 | -0.81 | 37.3 | 29.4 |
B. Shamblin
|
G | 16 | 3.6 | 0.4 | 0.2 | 0.4 | 0.2 | 0.1 | 0.2 | 0.7 | 0.4 | 10 | 0.6 | 8.5 | 27.3 | 14.3 | 0 | -0.9 | 31.8 | 31.8 |
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