UCLA Bruins
2024 Team Stats (34 games)
77.3
PPG
61.1
Opp
+16.2
Margin
44.6%
FG%
32.0%
3P%
74.5%
FT%
43.6
RPG
17.7
APG
15.1
TO
87.2
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 → | 1338 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1464 (#3) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +58.9 (#4) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.978 (#5) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.998 (#3) | AdjNet +54.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#3) | AdjNet +55.9 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Betts
|
C | 29 | 27.1 | 14.9 | 9.3 | 1.0 | 0.4 | 2.0 | 2.1 | 9.9 | 15.7 | 23 | 1.9 | 2.1 | 64.3 | 0 | 61.0 | -0.11 | 65.0 | 64.3 |
C. Osborne
|
G | 34 | 33.0 | 13.9 | 5.2 | 4.0 | 1.6 | 0.3 | 1.9 | 12.0 | 11.1 | 102 | 7.3 | 6.0 | 41.0 | 32.2 | 89.2 | 1.05 | 52.9 | 48.0 |
K. Rice
|
G | 34 | 31.1 | 13.2 | 5.7 | 4.5 | 1.4 | 0.5 | 2.5 | 10.3 | 12.5 | 88 | 5.9 | 6.1 | 44.9 | 31.2 | 87.6 | 0.28 | 55.7 | 49.0 |
L. Jones
|
G | 34 | 27.6 | 11.8 | 1.7 | 1.9 | 1.0 | 0.2 | 2.0 | 10.6 | 4.2 | 87 | 6.2 | 8.3 | 36.8 | 36.6 | 81.0 | 0.58 | 52.0 | 48.9 |
G. Jaquez
|
G | 34 | 25.2 | 10.0 | 5.6 | 1.6 | 0.6 | 0.1 | 1.4 | 7.9 | 8.7 | 76 | 5.1 | 7.5 | 47.8 | 25.9 | 71.3 | 0.73 | 55.3 | 51.7 |
A. Dugalić
|
F | 30 | 23.8 | 8.7 | 6.5 | 2.1 | 1.2 | 0.6 | 2.4 | 9.4 | 7.2 | 67 | 5.6 | 8.5 | 35.5 | 31.4 | 72.7 | 0.51 | 44.0 | 42.0 |
E. Bessoir
|
F | 1 | 23.0 | 6.0 | 4.0 | 3.0 | 2.0 | 0.0 | 1.0 | 4.0 | 10.0 | - | - | - | 50.0 | 33.3 | 50.0 | -0.13 | 61.5 | 62.5 |
C. Iwuala
|
F | 33 | 11.6 | 3.7 | 3.0 | 0.7 | 0.4 | 0.1 | 0.7 | 2.9 | 4.3 | 58 | 5.8 | 14.8 | 54.2 | 0 | 50.0 | 0.35 | 54.5 | 54.2 |
L. Sontag
|
F | 24 | 14.3 | 2.0 | 2.0 | 1.3 | 0.8 | 0.8 | 0.9 | 2.1 | 3.8 | 13 | 1.0 | 2.5 | 36.0 | 20.8 | 75.0 | 0.05 | 43.9 | 41.0 |
C. Brown
|
G | 34 | 13.1 | 1.7 | 2.0 | 0.8 | 0.5 | 0.4 | 0.9 | 1.9 | 2.6 | 38 | 6.3 | 7.5 | 39.1 | 11.1 | 40.0 | 0.45 | 40.5 | 39.8 |
A. Muse
|
F | 19 | 7.6 | 1.6 | 1.5 | 0.4 | 0.2 | 0.6 | 0.7 | 1.2 | 2.5 | 8 | 0.8 | 1.2 | 45.5 | 0 | 71.4 | 0.38 | 53.3 | 45.5 |
I. Anstey
|
F | 12 | 5.0 | 0.6 | 1.5 | 0.7 | 0.2 | 0.1 | 0.4 | 0.5 | 2.2 | - | - | - | 50.0 | 0 | 100.0 | - | 54.3 | 50.0 |
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