Oregon State
2026 Team Stats (31 games)
71.0
PPG
74.1
Opp
-3.1
Margin
42.4%
FG%
35.0%
3P%
77.0%
FT%
32.6
RPG
14.0
APG
12.0
TO
75.2
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 → | 996 (#356) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +14.2 (#165) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.511 (#223) | AdjO 71.7 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.768 (#166) | 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 → | 0.729 (#164) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1123 (#117) | RD 143 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Lake
|
G | 31 | 34.6 | 13.3 | 4.0 | 4.3 | 1.4 | 0.4 | 2.3 | 8.5 | 12.4 | - | - | - | 46.8 | 38.7 | 81.5 | - | 61.7 | 53.6 |
I. Sy
|
F | 31 | 27.8 | 10.2 | 4.8 | 1.7 | 0.6 | 0.4 | 1.3 | 8.4 | 7.8 | -39 | -1.6 | -3.2 | 34.5 | 35.6 | 86.9 | -0.46 | 52.9 | 46.4 |
D. White
|
G | 28 | 29.3 | 9.4 | 2.7 | 2.1 | 0.9 | 0.1 | 1.3 | 8.5 | 5.6 | -18 | -0.9 | -5.8 | 36.3 | 36.8 | 78.0 | -0.39 | 51.8 | 48.9 |
J. Munch
|
F | 29 | 21.2 | 7.7 | 5.2 | 1.1 | 0.8 | 0.6 | 1.4 | 5.4 | 8.4 | -32 | -1.5 | -3.4 | 51.0 | 12.5 | 62.9 | -0.02 | 55.6 | 51.3 |
Y. Yaak
|
- | 23 | 15.2 | 6.7 | 2.1 | 0.3 | 0.3 | 0.5 | 1.0 | 3.9 | 5.1 | -25 | -1.5 | -4.7 | 52.2 | 30.0 | 82.4 | -0.41 | 63.8 | 53.9 |
J. Diaz Graham
|
F | 30 | 18.0 | 6.0 | 3.7 | 0.9 | 0.5 | 1.0 | 0.9 | 3.7 | 7.4 | 41 | 2.7 | 6.6 | 42.9 | 36.1 | 82.7 | 0.32 | 62.1 | 52.7 |
Olavi Suutela
|
- | 31 | 17.4 | 5.5 | 2.6 | 0.9 | 0.4 | 0.1 | 1.0 | 3.5 | 5.0 | 19 | 1.5 | 11.4 | 57.4 | 37.9 | 67.3 | -0.12 | 64.9 | 62.5 |
N. Amenhauser
|
- | 27 | 12.4 | 5.1 | 2.1 | 0.4 | 0.0 | 0.6 | 0.8 | 3.3 | 4.1 | -82 | -3.3 | -19.7 | 57.3 | 0 | 70.0 | -0.85 | 61.7 | 57.3 |
Keziah Ekissi
|
- | 26 | 17.5 | 4.9 | 1.8 | 1.8 | 0.6 | 0.0 | 1.1 | 4.2 | 3.7 | -66 | -3.7 | -10.4 | 36.4 | 35.6 | 67.4 | 0.01 | 48.8 | 43.6 |
M. Christie
|
- | 14 | 13.0 | 4.7 | 0.9 | 0.2 | 0.3 | 0.1 | 0.4 | 3.9 | 1.9 | -13 | -3.2 | -15.2 | 36.4 | 40.0 | 75.0 | -0.06 | 56.4 | 54.5 |
Matija Samar
|
- | 27 | 16.1 | 4.7 | 1.9 | 1.4 | 0.3 | 0.0 | 0.9 | 4.5 | 2.9 | -52 | -2.4 | -36.5 | 32.0 | 29.5 | 91.7 | -0.07 | 47.5 | 42.6 |
J. Williford
|
- | 9 | 6.4 | 2.1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.2 | 3.2 | -0.3 | -7 | -0.9 | -6.4 | 24.1 | 11.1 | 75.0 | 0.02 | 30.9 | 27.6 |
Stephen Olowoniyi
|
F | 7 | 5.1 | 1.6 | 0.6 | 0.0 | 0.0 | 0.3 | 0.3 | 1.7 | 0.4 | -4 | -0.7 | -6.8 | 41.7 | 0 | 50.0 | -0.01 | 42.7 | 41.7 |
G. Marrs
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Kaan Yarkut
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 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