UCLA
2026 Team Stats (34 games)
77.3
PPG
70.9
Opp
+6.4
Margin
46.9%
FG%
37.7%
3P%
75.9%
FT%
32.4
RPG
16.4
APG
9.0
TO
75.9
Pace
82.3
AdjO
65.6
AdjD
#33
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 → | 1181 (#51) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1262 (#29) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1067 (#82) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.6 (#32) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.4 (#27) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.718 (#60) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.584 (#150) | NetEff +3.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.930 (#31) | AdjNet +22.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.932 (#31) | AdjNet +22.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.820 (#33) | AdjO 82.3 | AdjD 65.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.703 (#40) | AdjO 76.9 | AdjD 67.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.930 (#31) | 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 → | 0.907 (#31) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1277 (#36) | RD 103 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Bilodeau
|
- | 29 | 29.8 | 17.3 | 5.4 | 1.1 | 0.4 | 0.4 | 1.3 | 11.3 | 12.1 | 121 | 5.8 | 8.4 | 52.0 | 46.1 | 86.0 | 1.0 | 66.1 | 61.0 |
D. Dent
|
G | 33 | 34.2 | 13.3 | 3.0 | 7.7 | 1.7 | 0.3 | 1.8 | 12.2 | 12.0 | 105 | 5.0 | 6.3 | 41.2 | 24.2 | 65.0 | 0.82 | 47.2 | 43.2 |
T. Perry
|
- | 33 | 30.3 | 13.1 | 3.0 | 2.8 | 0.9 | 0.2 | 1.4 | 8.7 | 9.8 | 138 | 6.6 | 10.6 | 44.3 | 39.0 | 85.6 | 1.07 | 60.8 | 52.3 |
E. Dailey Jr.
|
- | 33 | 27.8 | 11.4 | 5.8 | 1.4 | 0.9 | 0.3 | 1.4 | 9.0 | 9.4 | 69 | 6.9 | 232.3 | 48.0 | 31.9 | 70.9 | 0.76 | 56.0 | 52.9 |
S. Clark
|
- | 25 | 28.4 | 11.4 | 2.2 | 2.0 | 1.2 | 0.1 | 1.0 | 8.7 | 7.2 | 148 | 9.9 | 15.1 | 47.5 | 42.4 | 81.1 | 1.17 | 61.3 | 59.0 |
X. Booker
|
F | 34 | 20.6 | 7.4 | 3.6 | 0.8 | 0.2 | 1.2 | 0.7 | 5.3 | 7.1 | 23 | 1.0 | 2.2 | 54.7 | 42.2 | 69.2 | -0.08 | 63.6 | 62.2 |
J. Brown
|
- | 34 | 15.7 | 3.8 | 2.7 | 0.6 | 0.6 | 0.1 | 0.4 | 3.1 | 4.3 | 7 | 2.3 | 35.8 | 44.2 | 34.3 | 100.0 | 0.05 | 58.6 | 55.3 |
Brandon Williams
|
- | 32 | 12.5 | 2.8 | 1.9 | 0.3 | 0.4 | 0.2 | 0.2 | 2.4 | 3.0 | -152 | -30.4 | -48.5 | 40.8 | 24.0 | 64.5 | -1.42 | 49.1 | 44.7 |
Eric Freeny
|
- | 27 | 10.7 | 2.0 | 1.6 | 0.4 | 0.3 | 0.1 | 0.3 | 1.9 | 2.2 | 38 | 2.5 | 11.9 | 39.2 | 38.5 | 50.0 | 0.44 | 49.5 | 49.0 |
S. Jamerson II
|
- | 33 | 9.1 | 1.9 | 1.9 | 0.5 | 0.6 | 0.3 | 0.5 | 0.9 | 3.8 | 112 | 4.7 | 19.0 | 80.0 | 0 | 60.0 | 0.99 | 76.8 | 80.0 |
J. Seidler
|
- | 7 | 1.3 | 0.3 | 0.6 | 0.0 | 0.0 | 0.0 | 0.1 | 0.9 | -0.1 | 4 | 1.3 | 228.6 | 16.7 | 0.0 | 0.0 | 0.05 | 15.5 | 16.7 |
Anthony Peoples Jr.
|
- | 6 | 1.8 | 0.3 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.8 | 0 | 0.0 | 0.0 | 50.0 | 0 | 0 | -0.01 | 50.0 | 50.0 |
Evan Manjikian
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Christian Horry
|
- | 4 | 1.8 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | -0.2 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Markell Alston
|
G | 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