UCLA Bruins
2026 Team Stats (38 games)
83.9
PPG
56.4
Opp
+27.5
Margin
50.9%
FG%
36.8%
3P%
78.1%
FT%
42.4
RPG
21.9
APG
12.8
TO
83.2
Pace
87.8
AdjO
41.4
AdjD
#3
Rank
Model Outputs
2025-2026
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 → | 1571 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1554 (#3) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1326 (#1) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +47.1 (#3) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +60.5 (#1) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.991 (#5) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.993 (#5) | NetEff +41.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#2) | AdjNet +66.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#2) | AdjNet +68.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.985 (#3) | AdjO 87.8 | AdjD 41.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.962 (#2) | AdjO 81.4 | AdjD 45.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.997 (#1) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.996 (#1) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1620 (#1) | RD 95 | GP 38 |
2026 Schedule & Results
2026 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 | 37 | 27.7 | 17.1 | 8.8 | 3.2 | 1.0 | 2.1 | 2.2 | 12.8 | 17.1 | 192 | 8.3 | 14.3 | 58.2 | 0.0 | 68.6 | 2.59 | 60.2 | 58.2 |
K. Rice
|
G | 38 | 30.8 | 14.9 | 5.9 | 4.3 | 1.5 | 0.4 | 1.7 | 10.3 | 15.0 | 241 | 9.3 | 17.3 | 48.9 | 38.5 | 90.2 | 4.46 | 60.9 | 53.3 |
G. Jaquez
|
G | 38 | 30.4 | 13.5 | 5.5 | 2.1 | 1.1 | 0.1 | 1.8 | 9.1 | 11.3 | 250 | 9.6 | 16.9 | 53.9 | 39.0 | 86.0 | 2.58 | 65.3 | 60.9 |
G. Kneepkens
|
G | 38 | 28.2 | 12.8 | 3.1 | 2.9 | 1.1 | 0.2 | 1.2 | 9.6 | 9.4 | 208 | 8.0 | 16.7 | 49.3 | 42.9 | 93.3 | 4.59 | 63.6 | 61.3 |
A. Dugalić
|
F | 38 | 23.8 | 9.0 | 5.6 | 2.2 | 1.1 | 0.6 | 1.8 | 7.1 | 9.5 | 192 | 8.3 | 21.0 | 50.2 | 32.6 | 74.1 | 3.38 | 57.8 | 55.5 |
C. Leger-Walker
|
G | 28 | 27.6 | 8.6 | 4.2 | 5.7 | 1.6 | 0.3 | 2.2 | 7.1 | 11.0 | 156 | 6.5 | 11.7 | 45.5 | 35.2 | 65.7 | -0.6 | 56.2 | 54.8 |
C. Leger-Walker
|
G | 10 | 29.3 | 7.6 | 3.4 | 5.3 | 1.4 | 0.5 | 2.1 | 6.7 | 9.4 | 156 | 6.5 | 11.7 | 46.3 | 36.4 | 50.0 | -0.6 | 55.3 | 55.2 |
S. Betts
|
F | 28 | 14.1 | 6.0 | 4.0 | 1.0 | 0.5 | 0.4 | 1.1 | 4.9 | 6.0 | 90 | 6.9 | 24.5 | 52.9 | 10.0 | 51.2 | 2.9 | 53.8 | 53.3 |
L. Bilić
|
G | 33 | 12.1 | 3.0 | 1.4 | 0.6 | 0.4 | 0.3 | 0.2 | 3.2 | 2.3 | - | - | - | 35.5 | 27.4 | 100.0 | - | 45.7 | 44.9 |
A. Muse
|
F | 34 | 9.1 | 1.3 | 1.6 | 0.5 | 0.2 | 0.3 | 0.4 | 0.9 | 2.5 | 109 | 5.2 | 25.4 | 54.8 | 0 | 50.0 | 0.21 | 55.2 | 54.8 |
C. Karamouzi
|
G | 26 | 2.7 | 0.5 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.4 | - | - | - | 30.8 | 30.0 | 66.7 | - | 45.4 | 42.3 |
M. Grant
|
G | 14 | 2.2 | 0.4 | 0.3 | 0.1 | 0.0 | 0.0 | 0.3 | 0.6 | -0.1 | -9 | -0.6 | -18.7 | 33.3 | 0 | 0.0 | -0.86 | 31.8 | 33.3 |
T. Gardiner
|
F | 0 | - | 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