UCLA Bruins
2016 Team Stats (30 games)
73.2
PPG
64.0
Opp
+9.2
Margin
40.7%
FG%
32.7%
3P%
69.7%
FT%
42.4
RPG
12.8
APG
14.6
TO
90.5
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 → | 1553 (#4) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1503 (#10) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +46.5 (#11) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.992 (#4) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordin Canada
|
- | 29 | 34.7 | 16.3 | 3.9 | 5.6 | 2.6 | 0.1 | 3.4 | 15.0 | 10.0 | - | - | - | 39.4 | 23.2 | 78.7 | 1.14 | 47.3 | 40.9 |
N. Fields
|
G | 29 | 30.1 | 15.1 | 5.1 | 1.9 | 2.1 | 0.6 | 1.9 | 13.9 | 9.1 | - | - | - | 41.5 | 32.1 | 62.7 | 1.74 | 47.9 | 44.7 |
Monique Billings
|
- | 30 | 28.6 | 12.5 | 7.9 | 0.9 | 1.6 | 1.6 | 1.9 | 10.3 | 12.2 | - | - | - | 47.9 | 0 | 67.2 | 1.63 | 51.9 | 47.9 |
K. Korver
|
G | 30 | 24.2 | 8.0 | 3.0 | 1.8 | 0.4 | 0.1 | 0.8 | 6.0 | 6.4 | - | - | - | 38.1 | 38.1 | 79.2 | 1.97 | 58.5 | 54.4 |
L. Drummer
|
C | 27 | 21.3 | 6.5 | 5.6 | 0.6 | 0.9 | 0.3 | 1.5 | 6.2 | 6.1 | - | - | - | 39.9 | 0.0 | 69.5 | 1.59 | 45.1 | 39.9 |
K. Swain
|
- | 23 | 20.5 | 6.1 | 6.7 | 0.6 | 0.9 | 1.0 | 2.0 | 6.0 | 7.3 | - | - | - | 38.0 | 66.7 | 64.2 | 1.46 | 43.7 | 38.7 |
Kennedy Burke
|
- | 30 | 17.9 | 5.5 | 3.6 | 0.9 | 1.2 | 0.8 | 1.5 | 5.1 | 5.4 | - | - | - | 41.8 | 33.3 | 54.1 | 0.81 | 49.0 | 47.7 |
K. Hayes
|
G | 30 | 20.3 | 3.8 | 1.9 | 0.6 | 0.5 | 0.3 | 1.0 | 4.2 | 2.0 | - | - | - | 36.2 | 19.0 | 76.0 | 1.43 | 41.7 | 37.8 |
P. Hersler
|
G | 30 | 10.0 | 2.3 | 1.5 | 0.3 | 0.3 | 0.2 | 0.7 | 2.4 | 1.5 | - | - | - | 35.6 | 30.4 | 69.2 | 0.53 | 43.2 | 40.4 |
C. Baird
|
G | 14 | 2.1 | 0.4 | 0.6 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | 0.4 | - | - | - | 28.6 | 0 | 100.0 | -1.0 | 38.1 | 28.6 |
A. Hearn
|
F | 17 | 5.2 | 0.1 | 0.7 | 0.3 | 0.1 | 0.5 | 0.6 | 0.5 | 0.6 | - | - | - | 12.5 | 0 | 0 | 1.19 | 12.5 | 12.5 |
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