UCLA Bruins
2025 Team Stats (35 games)
79.0
PPG
58.6
Opp
+19.3
Margin
48.4%
FG%
33.7%
3P%
72.7%
FT%
42.8
RPG
20.5
APG
14.9
TO
84.1
Pace
82.6
AdjO
47.0
AdjD
#6
Rank
Model Outputs
2024-2025
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 → | 1513 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1519 (#5) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.3 (#6) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.963 (#9) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.964 (#8) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.998 (#6) | AdjNet +52.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.998 (#6) | AdjNet +54.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.962 (#6) | AdjO 82.6 | AdjD 47.0 |
2025 Schedule & Results
2025 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 | 34 | 30.1 | 20.2 | 9.5 | 2.7 | 0.9 | 2.9 | 2.7 | 13.4 | 20.2 | 121 | 3.4 | 4.4 | 64.8 | 0 | 62.0 | 2.11 | 65.5 | 64.8 |
K. Rice
|
G | 34 | 28.4 | 12.8 | 3.5 | 5.0 | 1.4 | 0.4 | 2.1 | 8.7 | 12.2 | 128 | 3.4 | 4.7 | 48.5 | 36.5 | 87.1 | 2.06 | 61.1 | 53.7 |
G. Jaquez
|
G | 36 | 26.7 | 9.6 | 5.3 | 2.2 | 0.6 | 0.1 | 0.9 | 7.3 | 9.5 | 152 | 3.8 | 6.0 | 52.3 | 34.8 | 82.6 | 1.76 | 60.7 | 58.1 |
L. Jones
|
G | 37 | 25.2 | 8.5 | 1.1 | 1.8 | 0.9 | 0.1 | 1.8 | 8.1 | 2.5 | 141 | 3.5 | 6.1 | 34.7 | 35.1 | 80.5 | 1.19 | 49.2 | 46.7 |
T. Gardiner
|
F | 36 | 18.3 | 7.6 | 3.4 | 1.0 | 0.3 | 0.3 | 1.0 | 6.2 | 5.4 | 66 | 1.8 | 4.4 | 41.8 | 39.5 | 84.0 | 0.77 | 57.8 | 56.0 |
A. Dugalić
|
F | 35 | 21.7 | 7.4 | 5.5 | 2.4 | 1.4 | 0.8 | 1.5 | 6.4 | 9.6 | 65 | 3.0 | 4.5 | 42.7 | 34.8 | 81.4 | -0.03 | 53.1 | 49.8 |
J. Barker
|
F | 36 | 17.5 | 7.4 | 6.0 | 1.4 | 0.6 | 0.5 | 2.3 | 5.9 | 7.7 | 103 | 2.9 | 6.4 | 46.5 | 18.2 | 65.3 | 0.92 | 52.2 | 47.9 |
E. Aarnisalo
|
G | 37 | 20.9 | 5.1 | 2.2 | 3.4 | 0.7 | 0.1 | 2.0 | 4.5 | 5.0 | 73 | 2.0 | 3.9 | 43.7 | 27.0 | 77.4 | 0.47 | 51.8 | 48.8 |
K. Dudley
|
G | 37 | 12.3 | 1.9 | 2.3 | 0.8 | 0.4 | 0.2 | 0.6 | 1.9 | 3.0 | 55 | 1.5 | 4.0 | 46.5 | 0.0 | 21.4 | 0.48 | 44.7 | 46.5 |
A. Cain
|
G | 18 | 8.6 | 1.5 | 0.7 | 0.6 | 0.2 | 0.2 | 0.3 | 2.3 | 0.6 | 13 | 0.7 | 2.6 | 23.8 | 18.9 | 0.0 | -0.24 | 31.5 | 32.1 |
Z. Socka-Nguemen
|
F | 16 | 5.1 | 1.5 | 1.5 | 0.1 | 0.1 | 0.2 | 0.5 | 1.2 | 1.6 | -3 | -0.2 | -1.4 | 40.0 | 0 | 66.7 | -0.66 | 47.5 | 40.0 |
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