California Golden Bears
2026 Team Stats (34 games)
69.8
PPG
64.5
Opp
+5.3
Margin
43.5%
FG%
31.8%
3P%
71.2%
FT%
37.3
RPG
15.7
APG
15.8
TO
81.0
Pace
72.0
AdjO
55.4
AdjD
#47
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 → | 1131 (#98) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1156 (#90) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1018 (#162) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.0 (#48) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +28.8 (#45) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.729 (#99) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.760 (#94) | NetEff +9.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.949 (#47) | AdjNet +25.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.953 (#47) | AdjNet +26.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.819 (#47) | AdjO 72.0 | AdjD 55.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.702 (#66) | AdjO 68.9 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.921 (#54) | 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 → | 0.897 (#56) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1132 (#116) | RD 101 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Twidale
|
G | 34 | 36.2 | 16.3 | 3.9 | 3.7 | 0.7 | 0.0 | 3.2 | 13.4 | 8.1 | 2 | 0.1 | 0.1 | 38.0 | 32.7 | 87.7 | 1.16 | 54.4 | 49.0 |
S. Walker
|
C | 34 | 27.2 | 12.9 | 6.9 | 1.2 | 0.3 | 1.5 | 2.6 | 10.0 | 10.2 | -26 | -1.1 | -1.6 | 57.2 | 0.0 | 58.8 | 0.62 | 58.1 | 57.2 |
G. Maul
|
G | 34 | 29.7 | 9.8 | 6.9 | 2.3 | 0.9 | 0.2 | 1.6 | 6.8 | 11.6 | -12 | -0.5 | -0.7 | 41.4 | 37.8 | 78.0 | 1.05 | 58.5 | 51.7 |
T. Barnes
|
F | 25 | 32.1 | 8.9 | 5.1 | 1.4 | 0.8 | 0.4 | 1.0 | 8.0 | 7.7 | -13 | -0.6 | -0.7 | 41.0 | 29.3 | 82.1 | 0.21 | 51.3 | 47.8 |
M. Sheppard
|
G | 33 | 29.7 | 8.6 | 4.5 | 3.5 | 2.0 | 0.4 | 2.7 | 7.4 | 8.9 | -2 | -0.1 | -0.1 | 46.3 | 26.1 | 58.8 | 0.7 | 51.0 | 48.8 |
N. Ojukwu
|
F | 34 | 11.0 | 6.7 | 2.9 | 0.3 | 0.2 | 0.3 | 0.9 | 4.9 | 4.6 | 12 | 0.5 | 1.6 | 50.0 | 0 | 67.8 | -0.19 | 55.0 | 50.0 |
A. Morris
|
G | 24 | 23.8 | 6.3 | 2.1 | 3.0 | 0.7 | 0.1 | 1.9 | 6.5 | 3.9 | -6 | -0.4 | -0.5 | 32.7 | 29.2 | 55.9 | -0.02 | 44.5 | 42.6 |
L. Donez
|
G | 34 | 15.7 | 2.3 | 0.6 | 0.7 | 0.8 | 0.1 | 0.7 | 1.8 | 1.9 | -22 | -0.9 | -1.9 | 37.7 | 34.6 | 66.7 | -1.27 | 55.5 | 52.5 |
C. Langarita
|
F | 22 | 10.8 | 1.6 | 1.5 | 0.8 | 0.2 | 0.3 | 1.1 | 2.4 | 1.0 | 16 | 1.1 | 3.6 | 26.9 | 7.7 | 60.0 | 0.57 | 31.0 | 27.9 |
A. Drosouni
|
G | 10 | 7.0 | 1.5 | 0.7 | 0.2 | 0.1 | 0.1 | 0.2 | 1.0 | 1.4 | -8 | -1.1 | -7.6 | 50.0 | 50.0 | 0 | -1.23 | 75.0 | 75.0 |
S. Bowes
|
G | 4 | 2.8 | 1.0 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 1.2 | 0.2 | 2 | 0.7 | 11.7 | 40.0 | 0.0 | 0 | 0.36 | 40.0 | 40.0 |
I. Johnson-Musah
|
G | 13 | 4.2 | 0.9 | 0.6 | 0.2 | 0.2 | 0.0 | 0.5 | 0.6 | 0.7 | - | - | - | 62.5 | 0.0 | 66.7 | - | 64.4 | 62.5 |
G. McCallop
|
G | 21 | 5.0 | 0.9 | 0.5 | 0.4 | 0.5 | 0.0 | 0.7 | 0.8 | 0.7 | -10 | -0.9 | -7.9 | 29.4 | 10.0 | 58.3 | -0.44 | 40.4 | 32.4 |
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