UCLA
2019 Team Stats (6 games)
80.8
PPG
76.3
Opp
+4.5
Margin
45.4%
FG%
35.4%
3P%
65.5%
FT%
42.7
RPG
12.3
APG
14.8
TO
88.5
Pace
Model Outputs
2018-2019
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 → | 1457 (#52) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1534 (#18) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.9 (#24) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.231 (#73) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.394 (#76) | AdjNet -3.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.393 (#76) | AdjNet -3.7 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-06 | vs | Purdue Fort Wayne Mastodons | W | 96 - 71 |
| 2018-11-09 | vs | Long Beach State Beach | W | 91 - 80 |
| 2018-11-19 | vs | Presbyterian Blue Hose | W | 80 - 65 |
| 2018-11-22 | vs | Michigan State Spartans | L | 67 - 87 |
| 2019-03-13 | vs | Stanford Cardinal | W | 79 - 72 |
| 2019-03-14 | @ | Arizona State Sun Devils | L | 72 - 83 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Wilkes
|
G | 6 | 33.2 | 18.0 | 4.8 | 2.0 | 1.0 | 0.5 | 2.0 | 16.2 | 8.2 | - | - | - | 41.2 | 32.6 | 66.7 | - | 50.8 | 48.5 |
J. Hands
|
G | 6 | 30.8 | 17.5 | 4.2 | 3.8 | 1.3 | 0.3 | 3.8 | 14.3 | 9.0 | - | - | - | 43.0 | 48.5 | 75.0 | - | 55.4 | 52.3 |
C. Smith
|
G | 6 | 25.5 | 10.3 | 4.3 | 1.5 | 0.7 | 0.5 | 1.8 | 6.0 | 9.5 | 9 | 0.8 | 0.9 | 61.1 | 46.7 | 73.3 | 0.89 | 72.8 | 70.8 |
Moses Brown
|
- | 6 | 22.8 | 9.2 | 9.3 | 0.7 | 0.7 | 1.7 | 2.2 | 5.8 | 13.5 | 66 | 4.7 | 7.1 | 62.9 | 0 | 39.3 | 1.37 | 58.1 | 62.9 |
P. Ali
|
G | 4 | 22.5 | 6.2 | 1.2 | 1.5 | 1.0 | 0.0 | 1.8 | 7.2 | 1.0 | - | - | - | 27.6 | 16.7 | 60.0 | - | 37.4 | 32.8 |
Josie Hill
|
F | 6 | 24.0 | 6.0 | 8.5 | 1.3 | 0.8 | 0.5 | 0.7 | 3.2 | 13.3 | 40 | 3.3 | 4.6 | 52.6 | 0 | 84.2 | 1.09 | 65.8 | 52.6 |
A. Olesinski
|
F | 2 | 13.0 | 5.5 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 6.5 | - | - | - | 66.7 | 0.0 | 60.0 | - | 67.1 | 66.7 |
D. Singleton
|
- | 5 | 19.8 | 5.4 | 2.6 | 0.6 | 0.6 | 0.0 | 0.4 | 3.4 | 5.4 | - | - | - | 47.1 | 55.6 | 60.0 | - | 63.1 | 61.8 |
J. Bernard
|
- | 6 | 16.7 | 5.3 | 2.0 | 0.7 | 0.7 | 0.0 | 1.3 | 5.5 | 1.8 | - | - | - | 33.3 | 12.5 | 69.2 | - | 41.3 | 34.8 |
C. Riley
|
F | 4 | 13.2 | 5.0 | 2.2 | 0.8 | 0.5 | 0.8 | 2.0 | 4.5 | 2.8 | - | - | - | 44.4 | 0.0 | 80.0 | - | 49.5 | 44.4 |
K. Nwuba
|
- | 2 | 6.0 | 2.0 | 1.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 4.0 | - | - | - | 100.0 | 0 | 100.0 | - | 106.4 | 100.0 |
A. Dodson
|
G | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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