Oregon
2016 Team Stats (26 games)
79.5
PPG
70.8
Opp
+8.7
Margin
46.5%
FG%
33.7%
3P%
72.1%
FT%
36.2
RPG
13.0
APG
10.8
TO
80.9
Pace
Model Outputs
2015-2016
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 → | 1409 (#94) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1610 (#10) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.2 (#38) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.772 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.768 (#10) | NetEff +11.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.882 (#7) | AdjNet +17.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.885 (#7) | AdjNet +17.7 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dillon Brooks
|
- | 26 | 32.3 | 17.4 | 5.0 | 2.8 | 0.9 | 0.4 | 2.3 | 13.4 | 10.8 | 78 | 3.5 | 4.3 | 46.3 | 36.4 | 81.2 | 1.49 | 56.9 | 51.9 |
E. Cook
|
F | 26 | 32.8 | 16.0 | 5.4 | 2.5 | 1.4 | 0.4 | 1.9 | 11.2 | 12.7 | 92 | 3.8 | 4.5 | 48.5 | 35.7 | 79.3 | 1.54 | 58.3 | 51.0 |
T. Dorsey
|
- | 25 | 31.2 | 13.4 | 4.2 | 1.8 | 0.8 | 0.2 | 2.0 | 10.1 | 8.2 | 100 | 4.8 | 5.7 | 42.7 | 36.8 | 72.1 | 1.6 | 55.9 | 51.2 |
Chris Boucher
|
- | 26 | 26.6 | 11.9 | 7.3 | 0.5 | 0.7 | 2.5 | 0.9 | 7.8 | 14.2 | 100 | 4.0 | 5.6 | 52.5 | 31.1 | 67.3 | 1.53 | 61.5 | 58.1 |
D. Benjamin
|
F | 26 | 21.2 | 7.4 | 2.9 | 0.9 | 1.1 | 0.2 | 1.0 | 6.4 | 5.2 | 110 | 5.0 | 6.1 | 41.0 | 31.3 | 60.5 | 1.63 | 52.2 | 50.3 |
James Bell
|
F | 21 | 21.4 | 6.6 | 5.6 | 1.1 | 1.0 | 1.9 | 1.6 | 5.0 | 9.6 | 61 | 3.4 | 4.3 | 56.2 | 0.0 | 61.8 | 1.46 | 57.9 | 56.2 |
C. Benson
|
G | 26 | 29.5 | 5.8 | 2.4 | 3.0 | 0.7 | 0.0 | 0.7 | 4.5 | 6.7 | 28 | 2.2 | 3.3 | 42.2 | 34.4 | 65.2 | 1.02 | 55.0 | 51.7 |
K. Small
|
G | 24 | 7.0 | 1.8 | 0.6 | 0.6 | 0.4 | 0.0 | 0.4 | 1.1 | 1.9 | 0 | 0.0 | 0.0 | 40.7 | 20.0 | 69.0 | 0.62 | 54.1 | 42.6 |
R. Sorkin
|
F | 16 | 4.6 | 1.6 | 0.8 | 0.2 | 0.0 | 0.1 | 0.1 | 1.4 | 1.2 | - | - | - | 50.0 | 22.2 | 66.7 | 0.17 | 55.7 | 54.5 |
T. Manuel
|
F | 5 | 4.6 | 0.6 | 0.2 | 0.4 | 0.2 | 0.2 | 0.4 | 1.2 | 0.0 | - | - | - | 16.7 | 0.0 | 16.7 | - | 17.4 | 16.7 |
C. Noebel
|
G | 6 | 1.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.2 | - | - | - | 33.3 | 33.3 | 0 | - | 50.0 | 50.0 |
M. Heller
|
G | 7 | 2.0 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
P. Richmond
|
G | 3 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Norris
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | -0.25 | 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