UCLA
2025 Team Stats (26 games)
74.1
PPG
64.9
Opp
+9.2
Margin
45.8%
FG%
33.8%
3P%
71.3%
FT%
32.8
RPG
16.0
APG
10.8
TO
77.1
Pace
78.2
AdjO
59.4
AdjD
#20
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 → | 1170 (#61) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1263 (#25) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.3 (#20) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.815 (#20) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.814 (#20) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.957 (#18) | AdjNet +26.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.959 (#18) | AdjNet +27.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.846 (#20) | AdjO 78.2 | AdjD 59.4 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Bilodeau
|
- | 26 | 27.9 | 13.8 | 5.2 | 1.5 | 0.9 | 0.4 | 1.2 | 10.7 | 9.9 | 214 | 6.5 | 9.9 | 49.5 | 39.2 | 72.7 | 1.46 | 57.7 | 54.7 |
E. Dailey Jr.
|
- | 25 | 22.6 | 10.9 | 3.7 | 1.5 | 1.2 | 0.2 | 1.0 | 8.0 | 8.6 | 279 | 8.5 | 13.1 | 50.8 | 32.3 | 76.9 | 2.42 | 60.0 | 56.0 |
S. Mack
|
- | 26 | 20.5 | 9.3 | 1.9 | 1.7 | 0.9 | 0.0 | 1.3 | 7.0 | 5.5 | 45 | 2.1 | 5.1 | 41.2 | 23.6 | 74.3 | 0.39 | 52.8 | 44.8 |
S. Clark
|
- | 26 | 26.2 | 7.8 | 2.7 | 2.6 | 1.2 | 0.0 | 1.2 | 6.1 | 7.1 | -4 | -0.8 | -28.7 | 43.4 | 38.6 | 76.9 | -1.24 | 57.3 | 54.1 |
K. Johnson
|
- | 26 | 28.3 | 7.7 | 5.5 | 3.0 | 1.5 | 0.2 | 1.5 | 6.0 | 10.4 | 74 | 2.7 | 3.5 | 45.2 | 35.8 | 69.6 | 1.92 | 57.3 | 54.5 |
D. Andrews
|
- | 24 | 24.1 | 7.1 | 1.5 | 3.0 | 0.6 | 0.0 | 1.7 | 6.9 | 3.6 | 161 | 5.2 | 8.3 | 40.0 | 34.1 | 62.5 | 0.86 | 49.4 | 48.5 |
Aday Mara
|
- | 25 | 11.7 | 5.7 | 3.6 | 1.0 | 0.2 | 1.4 | 0.8 | 3.7 | 7.3 | -39 | -1.4 | -6.4 | 60.2 | 0 | 63.3 | 0.82 | 62.4 | 60.2 |
L. Stefanovic
|
- | 26 | 17.0 | 5.2 | 2.2 | 0.8 | 0.6 | 0.0 | 0.6 | 4.7 | 3.6 | 169 | 7.7 | 20.7 | 39.3 | 34.3 | 94.4 | 1.0 | 52.3 | 48.8 |
T. Perry
|
- | 25 | 12.4 | 4.1 | 2.0 | 0.8 | 0.6 | 0.1 | 0.6 | 2.9 | 4.2 | -52 | -2.6 | -9.1 | 38.4 | 34.5 | 83.7 | -0.11 | 55.5 | 45.2 |
W. Kyle III
|
- | 24 | 10.2 | 3.5 | 2.2 | 0.5 | 0.2 | 0.5 | 0.5 | 2.0 | 4.3 | 4 | 0.2 | 1.1 | 69.4 | 0 | 36.6 | 0.7 | 61.9 | 69.4 |
D. Harris
|
- | 11 | 7.3 | 1.1 | 0.6 | 0.1 | 0.4 | 0.0 | 0.3 | 2.4 | -0.5 | 11 | 0.8 | 3.1 | 15.4 | 11.1 | 100.0 | -0.2 | 22.3 | 19.2 |
J. Seidler
|
- | 6 | 2.0 | 0.3 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 2 | 0.5 | 14.5 | 33.3 | 0.0 | 0 | -1.2 | 33.3 | 33.3 |
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