Oregon State Beavers
2024 Team Stats (32 games)
68.9
PPG
72.7
Opp
-3.8
Margin
44.2%
FG%
32.8%
3P%
73.7%
FT%
32.5
RPG
11.1
APG
12.3
TO
75.5
Pace
Model Outputs
2023-2024
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 → | 1090 (#185) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1165 (#151) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.4 (#131) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.237 (#101) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.305 (#287) | NetEff -7.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.257 (#93) | AdjNet -9.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.254 (#93) | AdjNet -9.3 |
2024 Schedule & Results
2024 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. Pope
|
- | 32 | 35.6 | 17.6 | 2.6 | 3.4 | 0.7 | 0.1 | 2.2 | 13.9 | 8.1 | -69 | -3.3 | -13.5 | 45.1 | 37.1 | 87.9 | -0.05 | 57.0 | 52.5 |
T. Bilodeau
|
- | 32 | 29.8 | 14.3 | 5.7 | 1.2 | 0.6 | 0.4 | 1.5 | 10.0 | 10.7 | 5 | 0.7 | 1.1 | 53.3 | 34.5 | 79.8 | 0.2 | 62.2 | 57.9 |
D. Akanno
|
- | 30 | 28.6 | 10.9 | 2.9 | 1.3 | 0.9 | 0.2 | 1.6 | 8.9 | 5.6 | -27 | -3.9 | -5.6 | 39.0 | 32.5 | 70.4 | -0.32 | 51.5 | 46.1 |
M. Rataj
|
G | 29 | 28.0 | 8.3 | 5.8 | 1.6 | 0.9 | 0.5 | 1.4 | 7.0 | 8.7 | -2 | -0.3 | -0.5 | 44.3 | 28.8 | 73.8 | 0.07 | 52.6 | 48.5 |
KC Ibekwe
|
- | 32 | 18.2 | 5.1 | 4.0 | 0.5 | 0.5 | 1.2 | 1.6 | 4.1 | 5.8 | 21 | 3.0 | 9.5 | 52.3 | 0 | 44.4 | 0.41 | 52.0 | 52.3 |
J. Lake
|
G | 31 | 15.2 | 3.5 | 2.0 | 1.3 | 1.0 | 0.0 | 0.5 | 1.8 | 5.6 | 18 | 1.4 | 3.5 | 52.7 | 38.1 | 84.3 | 0.09 | 70.4 | 60.0 |
C. Wright
|
- | 29 | 18.5 | 3.3 | 1.1 | 0.9 | 0.7 | 0.0 | 0.7 | 3.1 | 2.3 | 0 | 0.0 | 0.0 | 33.7 | 25.5 | 77.4 | 0.01 | 46.8 | 40.4 |
D. Craig
|
G | 15 | 8.7 | 2.7 | 0.5 | 0.3 | 0.1 | 0.1 | 0.4 | 2.6 | 0.7 | -80 | -4.0 | -16.9 | 33.3 | 31.6 | 72.7 | -0.36 | 45.6 | 41.0 |
C. Marial
|
C | 31 | 11.7 | 2.3 | 2.4 | 0.2 | 0.2 | 1.0 | 1.2 | 2.3 | 2.6 | -33 | -4.7 | -14.0 | 36.6 | 44.4 | 80.0 | -0.4 | 45.1 | 39.4 |
J. Rochelin
|
- | 27 | 10.8 | 2.1 | 1.7 | 0.4 | 0.6 | 0.0 | 0.6 | 2.2 | 2.0 | 5 | 0.8 | 4.2 | 30.0 | 23.3 | 80.0 | 0.01 | 43.5 | 38.3 |
T. Ndong
|
- | 21 | 9.0 | 1.8 | 2.0 | 0.4 | 0.3 | 0.1 | 0.3 | 1.6 | 2.7 | - | - | - | 30.3 | 36.4 | 58.3 | - | 43.6 | 36.4 |
J. Stevens
|
- | 18 | 6.9 | 1.2 | 0.8 | 0.2 | 0.1 | 0.2 | 0.2 | 1.1 | 1.2 | -11 | -2.8 | -10.7 | 40.0 | 16.7 | 38.5 | -0.15 | 42.8 | 42.5 |
G. Marrs
|
F | 18 | 5.3 | 0.8 | 1.0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.6 | 1.3 | -7 | -2.3 | -54.2 | 36.4 | 0 | 70.0 | -0.11 | 48.7 | 36.4 |
N. Krass
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Felipe Palazzo
|
- | 2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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