UCLA Bruins
2026 Team Stats (38 games)
Model Outputs
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 → | 1791 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1596 (#1) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1331 (#1) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +48.1 (#2) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +48.7 (#1) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.990 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.990 (#4) | NetEff +38.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#2) | AdjNet +68.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#2) | AdjNet +70.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.984 (#3) | AdjO 88.9 | AdjD 43.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.962 (#1) | AdjO 81.6 | AdjD 45.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.992 (#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 → | 0.991 (#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 → | 1618 (#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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lauren Betts
|
C | 37 | 27.7 | 17.1 | 8.8 | 3.2 | 1.0 | 2.1 | 2.2 | 12.8 | 17.1 | 544 | 30 | 18.1 | 27.8 | 58.2 | 0.0 | 68.6 | 4.94 | 60.2 | 58.2 |
Kiki Rice
|
G | 38 | 30.8 | 14.9 | 5.9 | 4.3 | 1.5 | 0.4 | 1.7 | 10.3 | 15.0 | 573 | 31 | 18.5 | 25.3 | 49.0 | 38.5 | 90.2 | 5.69 | 61.1 | 53.4 |
Gabriela Jaquez
|
G | 38 | 30.4 | 13.5 | 5.5 | 2.1 | 1.1 | 0.1 | 1.8 | 9.1 | 11.3 | 568 | 31 | 18.3 | 25.3 | 53.9 | 39.0 | 86.0 | 5.01 | 65.3 | 60.9 |
Gianna Kneepkens
|
G | 38 | 28.2 | 12.8 | 3.1 | 2.9 | 1.1 | 0.2 | 1.2 | 9.6 | 9.4 | 594 | 31 | 19.2 | 28.5 | 49.3 | 42.9 | 93.3 | 6.89 | 63.6 | 61.3 |
Angela DugaliÄ
|
F | 38 | 23.8 | 9.0 | 5.6 | 2.2 | 1.1 | 0.6 | 1.8 | 7.1 | 9.5 | 418 | 31 | 13.5 | 24.6 | 50.2 | 32.6 | 74.1 | 3.37 | 57.8 | 55.5 |
Charlisse Leger-Walker
|
G | 28 | 27.6 | 8.6 | 4.2 | 5.7 | 1.6 | 0.3 | 2.2 | 7.1 | 11.0 | - | - | - | - | 45.5 | 35.2 | 65.7 | - | 56.2 | 54.8 |
Charlisse Leger-Walker
|
G | 38 | 28.0 | 8.4 | 4.0 | 5.6 | 1.6 | 0.3 | 2.2 | 7.0 | 10.6 | - | - | - | - | 45.7 | 35.5 | 64.1 | - | 56.0 | 54.9 |
Sienna Betts
|
F | 28 | 14.1 | 6.0 | 4.0 | 1.0 | 0.5 | 0.4 | 1.1 | 4.9 | 6.0 | 190 | 24 | 7.9 | 22.1 | 52.9 | 10.0 | 51.2 | -0.53 | 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 | 187 | 26 | 7.2 | 25.1 | 35.5 | 27.4 | 100.0 | 0.74 | 45.7 | 44.9 |
Amanda Muse
|
F | 34 | 9.1 | 1.3 | 1.6 | 0.5 | 0.2 | 0.3 | 0.4 | 0.9 | 2.5 | 153 | 26 | 5.9 | 26.8 | 54.8 | 0 | 50.0 | 1.21 | 55.2 | 54.8 |
Christina Karamouzi
|
G | 26 | 2.7 | 0.5 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.5 | 0.4 | 19 | 18 | 1.1 | 15.4 | 30.8 | 30.0 | 66.7 | -1.72 | 45.4 | 42.3 |
Megan Grant
|
G | 14 | 2.2 | 0.4 | 0.3 | 0.1 | 0.0 | 0.0 | 0.3 | 0.6 | -0.1 | 2 | 9 | 0.2 | 3.5 | 33.3 | 0 | 0.0 | -1.82 | 31.8 | 33.3 |
Timea 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
Alumni in the Pros
Former UCLA Bruins players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last UCLA Bruins 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.
3 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 |
|---|---|---|---|---|---|---|---|---|
| Kiki Rice | 2022-26 | WNBA | Toronto Tempo | 28 | 27.1 | 13.4 | 3.7 | 3.5 |
| C. Osborne | 2019-24 | WNBA | Portland Fire | 3 | 19.7 | 9.7 | 1.7 | 1.3 |
| Charlisse Leger-Walker | 2025-26 | WNBA | Connecticut Sun | 44 | 23.6 | 7.2 | 2.5 | 3.7 |
| Gabriela Jaquez | 2022-26 | WNBA | Chicago Sky | 39 | 19.5 | 7.1 | 3.0 | 0.9 |
| Monique Billings | 2014-18 | WNBA | Indiana Fever | 43 | 18.7 | 6.5 | 4.8 | 1.0 |
| Lauren Betts | 2023-26 | WNBA | Washington Mystics | 44 | 17.6 | 6.4 | 4.6 | 1.2 |
| R. Gardner | - | WNBA | New York Liberty | 43 | 14.7 | 5.1 | 2.3 | 1.2 |
| Gianna Kneepkens | 2025-26 | WNBA | Connecticut Sun | 35 | 10.5 | 3.6 | 1.4 | 0.6 |
| Angela Dugalić | 2021-26 | WNBA | Washington Mystics | 37 | 8.9 | 2.7 | 2.3 | 0.6 |
| Jordin Canada | 2014-18 | WNBA | Atlanta Dream | - | - | - | - | - |
| Kennedy Burke | 2015-19 | WNBA | Connecticut Sun | - | - | - | - | - |
| Michaela Onyenwere | 2017-21 | WNBA | Washington Mystics | - | - | - | - | - |
Alumni around the leagues: recent games
| Date | Player | League | Team | Opponent | MIN | PTS | REB | AST | Box |
|---|---|---|---|---|---|---|---|---|---|
| 2026-10-09 | Jordin Canada | WNBA Playoffs | Atlanta Dream | @ New York Liberty | 38 | 19 | 3 | 11 | Box |
| 2026-10-07 | R. Gardner | WNBA Playoffs | New York Liberty | @ Atlanta Dream | 6 | 3 | 0 | 1 | Box |
| 2026-10-07 | Jordin Canada | WNBA Playoffs | Atlanta Dream | vs New York Liberty | 39 | 23 | 5 | 8 | Box |
| 2026-10-04 | R. Gardner | WNBA Playoffs | New York Liberty | @ Atlanta Dream | 4 | 0 | 0 | 0 | Box |
| 2026-10-04 | Jordin Canada | WNBA Playoffs | Atlanta Dream | vs New York Liberty | 32 | 25 | 1 | 4 | Box |
| 2026-10-01 | Monique Billings | WNBA Playoffs | Indiana Fever | @ Las Vegas Aces | 8 | 0 | 1 | 2 | Box |
| 2026-09-30 | Michaela Onyenwere | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 18 | 12 | 2 | 0 | Box |
| 2026-09-30 | Lauren Betts | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 11 | 0 | 4 | 0 | Box |
| 2026-09-30 | Angela Dugalić | WNBA Playoffs | Washington Mystics | vs Atlanta Dream | 1 | 0 | 0 | 0 | Box |
| 2026-09-29 | R. Gardner | WNBA Playoffs | New York Liberty | vs Minnesota Lynx | 6 | 2 | 1 | 0 | Box |
| 2026-09-29 | Monique Billings | WNBA Playoffs | Indiana Fever | vs Las Vegas Aces | 9 | 2 | 2 | 0 | Box |
| 2026-09-27 | Monique Billings | WNBA Playoffs | Indiana Fever | @ Las Vegas Aces | 12 | 4 | 3 | 0 | Box |
| 2026-09-27 | Michaela Onyenwere | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 26 | 8 | 4 | 0 | Box |
| 2026-09-27 | Lauren Betts | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 23 | 2 | 4 | 1 | Box |
| 2026-09-27 | Angela Dugalić | WNBA Playoffs | Washington Mystics | @ Atlanta Dream | 1 | 0 | 0 | 0 | Box |
| 2026-09-24 | Michaela Onyenwere | WNBA | Washington Mystics | vs Chicago Sky | 26 | 16 | 2 | 2 | Box |
| 2026-09-24 | Lauren Betts | WNBA | Washington Mystics | vs Chicago Sky | 22 | 8 | 8 | 3 | Box |
| 2026-09-24 | Kiki Rice | WNBA | Toronto Tempo | @ Connecticut Sun | 31 | 28 | 8 | 2 | Box |
| 2026-09-24 | Gianna Kneepkens | WNBA | Connecticut Sun | vs Toronto Tempo | 26 | 12 | 4 | 2 | Box |
| 2026-09-24 | Gabriela Jaquez | WNBA | Chicago Sky | @ Washington Mystics | 21 | 8 | 4 | 2 | Box |
| 2026-09-24 | Charlisse Leger-Walker | WNBA | Connecticut Sun | vs Toronto Tempo | 14 | 7 | 2 | 1 | Box |
| 2026-09-24 | Angela Dugalić | WNBA | Washington Mystics | vs Chicago Sky | 4 | 0 | 0 | 0 | Box |
| 2026-09-22 | Kiki Rice | WNBA | Toronto Tempo | @ Chicago Sky | 30 | 9 | 3 | 7 | Box |
| 2026-09-22 | Gianna Kneepkens | WNBA | Connecticut Sun | @ Washington Mystics | 18 | 4 | 3 | 3 | Box |
| 2026-09-22 | Gabriela Jaquez | WNBA | Chicago Sky | vs Toronto Tempo | 22 | 18 | 3 | 2 | Box |
2025-2026 Shot Zones
2411 located field-goal attempts in 38 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).
Lauren BettsGianna KneepkensKiki RiceGabriela JaquezAngela DugaliÄCharlisse Leger-Walker
| Zone | FGM-FGA | FG% | Pts | Top scorer | Runner-up | Most misses | Runner-up |
|---|---|---|---|---|---|---|---|
| Restricted area | 345-488 | 70.7 | 690 | Lauren Betts 32% (220 pts) | Gabriela Jaquez 16% (110 pts) | Lauren Betts 31% (44 misses) | Kiki Rice 26% (37 misses) |
| Paint (non-RA) | 478-855 | 55.9 | 956 | Lauren Betts 27% (262 pts) | Gabriela Jaquez 16% (152 pts) | Lauren Betts 26% (98 misses) | Kiki Rice 17% (65 misses) |
| Mid-range left | 65-159 | 40.9 | 130 | Lauren Betts 29% (38 pts) | Kiki Rice 23% (30 pts) | Lauren Betts 33% (31 misses) | Kiki Rice 32% (30 misses) |
| Mid-range center | 36-79 | 45.6 | 72 | Kiki Rice 31% (22 pts) | Lauren Betts 31% (22 pts) | Lauren Betts 30% (13 misses) | Kiki Rice 19% (8 misses) |
| Mid-range right | 51-112 | 45.5 | 102 | Gianna Kneepkens 27% (28 pts) | Angela DugaliÄ 25% (26 pts) | Gianna Kneepkens 20% (12 misses) | Sienna Betts 18% (11 misses) |
| Left corner 3 | 39-96 | 40.6 | 117 | Gianna Kneepkens 44% (51 pts) | Gabriela Jaquez 23% (27 pts) | Gianna Kneepkens 32% (18 misses) | L. Bilić 28% (16 misses) |
| Right corner 3 | 25-72 | 34.7 | 75 | Gabriela Jaquez 36% (27 pts) | Gianna Kneepkens 32% (24 pts) | Gabriela Jaquez 23% (11 misses) | Gianna Kneepkens 21% (10 misses) |
| Above-break 3 left | 91-262 | 34.7 | 273 | Gianna Kneepkens 34% (93 pts) | Charlisse Leger-Walker 20% (54 pts) | Gianna Kneepkens 27% (47 misses) | Charlisse Leger-Walker 19% (33 misses) |
| Above-break 3 center | 25-86 | 29.1 | 75 | Charlisse Leger-Walker 24% (18 pts) | Gabriela Jaquez 20% (15 pts) | Angela DugaliÄ 26% (16 misses) | Kiki Rice 25% (15 misses) |
| Above-break 3 right | 71-202 | 35.1 | 213 | Gianna Kneepkens 32% (69 pts) | Charlisse Leger-Walker 21% (45 pts) | Gianna Kneepkens 24% (32 misses) | Charlisse Leger-Walker 24% (31 misses) |