California Golden Bears
2026 Team Stats (36 games)
69.8
PPG
63.8
Opp
+5.9
Margin
43.5%
FG%
32.3%
3P%
71.4%
FT%
37.4
RPG
15.8
APG
15.8
TO
70.0
Est. poss./game
72.0
Adj PPG
56.4
Adj Opp PPG
#49
Scoring 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 → | 1160 (#99) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1108 (#110) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1025 (#155) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.1 (#47) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.9 (#45) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.736 (#96) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.736 (#96) | NetEff +8.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.951 (#48) | AdjNet +25.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.955 (#47) | AdjNet +26.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.805 (#49) | AdjO 72.0 | AdjD 56.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.697 (#56) | AdjO 68.9 | AdjD 59.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.819 (#53) | 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 → | 0.801 (#55) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1145 (#87) | RD 100 | GP 36 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lulu Twidale
|
G | 35 | 36.3 | 16.2 | 3.9 | 3.7 | 0.7 | 0.0 | 3.1 | 13.3 | 8.0 | 104 | 28 | 3.7 | 4.1 | 38.1 | 32.5 | 87.9 | 3.38 | 54.3 | 48.9 |
Sakima Walker
|
C | 36 | 27.1 | 12.5 | 6.9 | 1.3 | 0.4 | 1.5 | 2.6 | 9.8 | 10.2 | 59 | 29 | 2.0 | 3.2 | 56.7 | 0.0 | 59.3 | 1.13 | 57.7 | 56.7 |
Gisella Maul
|
G | 36 | 29.4 | 9.8 | 6.7 | 2.2 | 0.9 | 0.2 | 1.5 | 6.8 | 11.4 | 134 | 29 | 4.6 | 6.2 | 42.2 | 38.1 | 77.9 | 5.33 | 59.1 | 52.7 |
Mjracle Sheppard
|
G | 35 | 29.7 | 8.8 | 4.5 | 3.5 | 2.0 | 0.5 | 2.6 | 7.6 | 9.1 | 84 | 28 | 3.0 | 4.1 | 45.9 | 32.1 | 58.5 | 1.89 | 51.1 | 49.1 |
Taylor Barnes
|
F | 27 | 31.7 | 8.7 | 5.1 | 1.4 | 0.8 | 0.4 | 1.1 | 7.9 | 7.4 | 64 | 21 | 3.0 | 4.0 | 40.8 | 29.3 | 78.6 | 0.48 | 51.0 | 47.7 |
Aliyahna Morris
|
G | 26 | 24.3 | 7.0 | 2.4 | 3.1 | 0.7 | 0.1 | 2.0 | 6.9 | 4.5 | 81 | 19 | 4.3 | 7.2 | 34.1 | 31.9 | 56.4 | -0.35 | 46.4 | 44.7 |
Naya Ojukwu
|
F | 36 | 10.9 | 6.7 | 3.0 | 0.3 | 0.2 | 0.3 | 0.9 | 4.9 | 4.6 | 73 | 29 | 2.5 | 9.1 | 50.0 | 0 | 69.6 | 1.99 | 55.4 | 50.0 |
Lola Donez
|
G | 36 | 16.2 | 2.4 | 0.6 | 0.8 | 0.8 | 0.1 | 0.8 | 1.9 | 2.0 | -8 | 29 | -0.3 | -0.7 | 36.8 | 32.8 | 69.6 | -3.1 | 54.4 | 50.7 |
Claudia Langarita
|
F | 23 | 10.8 | 1.7 | 1.5 | 0.8 | 0.2 | 0.3 | 1.1 | 2.3 | 1.0 | -18 | 17 | -1.1 | -3.5 | 29.6 | 7.7 | 60.0 | -3.56 | 33.4 | 30.6 |
Anastasia Drosouni
|
G | 10 | 7.0 | 1.5 | 0.6 | 0.2 | 0.1 | 0.1 | 0.2 | 1.0 | 1.3 | 15 | 8 | 1.9 | 12.1 | 50.0 | 50.0 | 0 | -1.2 | 75.0 | 75.0 |
Isis Johnson-Musah
|
G | 14 | 4.1 | 0.9 | 0.6 | 0.2 | 0.1 | 0.0 | 0.5 | 0.6 | 0.8 | 17 | 10 | 1.7 | 17.7 | 62.5 | 0.0 | 66.7 | -0.32 | 64.4 | 62.5 |
Grace McCallop
|
G | 22 | 4.8 | 0.9 | 0.5 | 0.4 | 0.5 | 0.0 | 0.7 | 0.8 | 0.8 | 15 | 16 | 0.9 | 7.5 | 29.4 | 10.0 | 64.3 | -1.27 | 43.2 | 32.4 |
Sofia Bowes
|
G | 5 | 2.4 | 0.8 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 1.0 | 0.2 | - | - | - | - | 40.0 | 0.0 | 0 | -0.42 | 40.0 | 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
Alumni in the Pros
Former California Golden Bears players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last California Golden Bears game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.
1 player-league average(s) withheld while source season, phase, finality or game identity remains unresolved.
Active alumni
| Player | At School | League | Team | GP | MPG | PPG | RPG | APG |
|---|---|---|---|---|---|---|---|---|
| Marta Suárez | 2023-25 | WNBA | Phoenix Mercury | 19 | 9.4 | 3.5 | 1.5 | 0.4 |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-09-24 | Marta Suárez | WNBA | Phoenix Mercury | vs Las Vegas Aces | 15 | 6 | 2 | 0 | Box |
| 2026-09-21 | Marta Suárez | WNBA | Phoenix Mercury | vs Dallas Wings | 10 | 2 | 4 | 0 | Box |
| 2026-09-19 | Marta Suárez | WNBA | Phoenix Mercury | @ Dallas Wings | 4 | 0 | 0 | 0 | Box |
| 2026-04-29 | Jaelyn Brown | WNBA Preseason | Seattle Storm | vs Portland Fire | 12 | 6 | 0 | 0 | Box |
| 2026-04-27 | Sakima Walker | WNBA Preseason | Minnesota Lynx | vs Nigeria | 4 | 0 | 0 | 0 | Box |
| 2026-04-25 | Sakima Walker | WNBA Preseason | Minnesota Lynx | @ Washington Mystics | 13 | 4 | 2 | 1 | Box |
| 2026-04-25 | Jaelyn Brown | WNBA Preseason | Seattle Storm | @ Golden State Valkyries | 12 | 8 | 2 | 1 | Box |
2025-2026 Shot Zones
2038 located field-goal attempts in 36 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).
Lulu TwidaleSakima WalkerMjracle SheppardTaylor BarnesAliyahna MorrisLola Donez
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 415-672 | 61.8 | 830 | Sakima Walker 30% (246 pts) | Naya Ojukwu 15% (128 pts) | Sakima Walker 25% (63 misses) | Lulu Twidale 18% (45 misses) |
| Paint (non-RA) | 181-434 | 41.7 | 362 | Sakima Walker 35% (128 pts) | Mjracle Sheppard 22% (78 pts) | Sakima Walker 29% (74 misses) | Mjracle Sheppard 20% (50 misses) |
| Mid-range left | 15-52 | 28.8 | 30 | Lulu Twidale 27% (8 pts) | Sakima Walker 27% (8 pts) | Taylor Barnes 27% (10 misses) | Lulu Twidale 16% (6 misses) |
| Mid-range center | 12-28 | 42.9 | 24 | Sakima Walker 42% (10 pts) | Mjracle Sheppard 25% (6 pts) | Aliyahna Morris 31% (5 misses) | Lulu Twidale 19% (3 misses) |
| Mid-range right | 12-56 | 21.4 | 24 | Aliyahna Morris 33% (8 pts) | Mjracle Sheppard 17% (4 pts) | Mjracle Sheppard 39% (17 misses) | Sakima Walker 14% (6 misses) |
| Left corner 3 | 29-80 | 36.2 | 87 | Mjracle Sheppard 21% (18 pts) | Aliyahna Morris 17% (15 pts) | Lulu Twidale 31% (16 misses) | Taylor Barnes 27% (14 misses) |
| Right corner 3 | 22-60 | 36.7 | 66 | Lola Donez 41% (27 pts) | Taylor Barnes 27% (18 pts) | Aliyahna Morris 26% (10 misses) | Lola Donez 24% (9 misses) |
| Above-break 3 left | 90-299 | 30.1 | 270 | Lulu Twidale 62% (168 pts) | Gisella Maul 16% (42 pts) | Lulu Twidale 53% (110 misses) | Gisella Maul 12% (26 misses) |
| Above-break 3 center | 37-129 | 28.7 | 111 | Lulu Twidale 38% (42 pts) | Gisella Maul 22% (24 pts) | Lulu Twidale 40% (37 misses) | Gisella Maul 17% (16 misses) |
| Above-break 3 right | 76-228 | 33.3 | 228 | Lulu Twidale 29% (66 pts) | Gisella Maul 28% (63 pts) | Lulu Twidale 30% (45 misses) | Gisella Maul 20% (30 misses) |