Stanford Cardinal
2026 Team Stats (31 games)
69.6
PPG
65.0
Opp
+4.6
Margin
42.3%
FG%
28.6%
3P%
78.5%
FT%
40.1
RPG
12.3
APG
14.7
TO
83.3
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 → | 992 (#368) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.9 (#57) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.666 (#86) | AdjO 70.6 | AdjD 63.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.906 (#66) | 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 → | 0.875 (#74) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1097 (#141) | RD 104 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Agara
|
F | 25 | 32.5 | 15.4 | 9.0 | 1.6 | 1.2 | 0.6 | 1.8 | 13.0 | 13.2 | -6 | -0.3 | -0.4 | 45.4 | 14.6 | 78.7 | -0.1 | 51.9 | 46.5 |
C. Ogden
|
F | 31 | 31.7 | 13.2 | 4.6 | 2.2 | 1.0 | 0.5 | 2.0 | 10.4 | 9.2 | 28 | 1.2 | 1.4 | 50.9 | 36.7 | 85.7 | 2.07 | 59.7 | 57.1 |
C. Clardy
|
G | 29 | 32.2 | 12.3 | 3.1 | 2.1 | 2.1 | 0.3 | 2.0 | 11.3 | 6.5 | -9 | -0.4 | -0.5 | 38.1 | 30.2 | 78.8 | 1.45 | 49.3 | 45.0 |
H. Swain
|
G | 31 | 31.1 | 10.4 | 3.2 | 1.4 | 1.1 | 0.1 | 2.6 | 10.9 | 2.6 | -23 | -1.0 | -1.2 | 38.3 | 24.7 | 78.2 | -0.02 | 44.5 | 41.3 |
L. Somfai
|
F | 28 | 26.6 | 10.4 | 8.9 | 1.6 | 0.8 | 0.6 | 2.3 | 10.3 | 9.8 | 12 | 0.5 | 0.7 | 38.9 | 28.6 | 79.5 | 1.94 | 47.3 | 44.4 |
A. Eschmeyer
|
F | 31 | 15.1 | 5.3 | 3.9 | 0.5 | 0.4 | 1.3 | 1.0 | 4.3 | 6.1 | -35 | -1.5 | -4.3 | 47.0 | 30.3 | 73.0 | -1.98 | 54.2 | 50.7 |
T. Lepolo
|
G | 16 | 27.2 | 4.1 | 1.2 | 2.8 | 1.0 | 0.0 | 1.5 | 3.3 | 4.2 | -40 | -1.9 | -3.1 | 35.8 | 34.4 | 88.9 | -1.36 | 53.3 | 46.2 |
S. Ijiwoye
|
G | 29 | 15.5 | 2.6 | 2.1 | 1.3 | 0.9 | 0.0 | 1.0 | 2.8 | 3.1 | 29 | 1.4 | 4.9 | 36.6 | 12.5 | 55.0 | 3.7 | 40.7 | 38.4 |
M. Stevenson
|
F | 31 | 11.9 | 1.7 | 2.8 | 0.6 | 0.1 | 0.2 | 1.0 | 1.1 | 3.4 | 26 | 1.1 | 3.1 | 44.1 | 0.0 | 84.6 | 1.57 | 57.2 | 44.1 |
N. Ezike
|
F | 7 | 3.9 | 1.7 | 0.6 | 0.3 | 0.1 | 0.0 | 0.1 | 1.1 | 1.4 | 2 | 0.4 | 6.8 | 75.0 | 0.0 | 0 | 0.39 | 75.0 | 75.0 |
H. Peterson
|
F | 8 | 3.2 | 1.1 | 0.5 | 0.1 | 0.1 | 0.1 | 0.0 | 0.9 | 1.1 | -7 | -1.0 | -13.4 | 42.9 | 60.0 | 0.0 | -0.28 | 57.1 | 64.3 |
C. Amborn
|
G | 13 | 3.1 | 1.1 | 0.3 | 0.2 | 0.1 | 0.2 | 0.2 | 0.8 | 0.8 | -3 | -0.3 | -4.5 | 36.4 | 40.0 | 100.0 | -0.11 | 58.9 | 54.5 |
L. Green
|
G | 4 | 1.5 | 0.0 | 0.2 | 0.5 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | 3 | 1.0 | 29.8 | 0.0 | 0.0 | 0 | 1.23 | 0.0 | 0.0 |
S. Papadaki
|
G | 7 | 2.0 | 0.0 | 0.4 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 0.3 | -4 | -0.8 | -15.0 | 0.0 | 0.0 | 0 | 0.14 | 0.0 | 0.0 |
K. Umeh
|
C | 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