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UCLA

2026-2027 Team Stats (3 games)

75.7
PPG
46.3
Opp
+29.3
Margin
44.6%
FG%
27.9%
3P%
60.9%
FT%
47.3
RPG
22.0
APG
13.3
TO
70.7
Est. poss./game
66.6
Adj PPG
47.5
Adj Opp PPG
#17
Scoring Rank

Model Outputs

2026-2027
Catalog

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. Preseason prior 1475 (returning production + recruiting): last season 1369, returning -90, transfers +197, freshmen +0 More → 1484 (#15) Preseason prior 1475 (returning production + recruiting): last season 1369, returning -90, transfers +197, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More → 1315 (#13) HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More → 1310 (#13) HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More → +35.6 (#10) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More → +35.6 (#10) HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.988 (#21) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +33.1 More → 0.956 (#14) AdjNet +33.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +33.1 More → 0.959 (#15) AdjNet +33.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.6 | AdjD 47.5 More → 0.889 (#17) AdjO 66.6 | AdjD 47.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 47.5 More → 0.888 (#17) AdjO 66.7 | AdjD 47.5
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.933 (#13) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.933 (#13) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 180 | GP 3 More → 1348 (#12) RD 180 | GP 3
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More → 0.948 (#14) Chronological component blend with rest and venue.

Rank through the season

League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.

Recency Ensemble Log Adjusted Elo Points Off/Def Recency

2026-2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 vs Lehigh Mountain Hawks W 73 - 53
2026-11-05 vs UC Irvine Anteaters W 78 - 42
2026-11-12 vs Arizona Wildcats W 76 - 44
2026-11-15 vs Princeton Tigers - Preview
2026-11-19 vs Cal Poly Mustangs - Preview

2026-2027 Roster

Estimated Minutes by Position

Estimated from roster positions and box-score rates; an unlisted position is inferred from those rates, and missing rates are treated as zero. Legend numbers are each player's share of recorded roster minutes, scaled to five players' regulation minutes; they can differ from minutes per game in the roster below, especially when players miss games or coverage is incomplete. Each position column totals one regulation game's minutes. Use the labels or legend to highlight a player's estimated role.

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%
Sienna Betts Sienna Betts F 3 25.0 14.3 7.0 2.0 0.7 1.3 2.3 11.0 12.0 84 3 28.0 44.9 60.6 0.0 60.0 4.56 61.1 60.6
Elina Aarnisalo Elina Aarnisalo G 2 27.5 11.5 4.0 4.5 0.5 0.0 3.0 10.5 7.0 42 2 21.0 30.4 42.9 33.3 100.0 0.72 52.6 50.0
Timea Gardiner Timea Gardiner F 3 22.3 11.3 5.3 1.3 0.3 1.3 1.3 10.0 8.3 - - - - 40.0 35.7 100.0 - 52.8 48.3
KK Bransford KK Bransford G 3 24.3 11.0 3.0 1.3 3.0 0.0 1.0 9.3 8.0 75 3 25.0 41.2 42.9 50.0 70.0 4.86 50.9 46.4
Addy Brown Addy Brown F 3 23.3 11.0 7.3 4.0 0.0 0.0 1.3 8.3 12.7 34 3 11.3 19.5 52.0 44.4 100.0 2.21 62.7 60.0
Donovyn Hunter Donovyn Hunter G 3 27.7 9.0 3.7 4.3 1.3 0.7 0.7 8.3 10.0 65 3 21.7 31.1 48.0 30.0 0 2.82 54.0 54.0
Somto Okafor Somto Okafor G 3 21.7 6.3 3.7 2.0 2.7 0.0 1.7 7.3 5.7 47 3 15.7 28.9 36.4 10.0 28.6 1.77 37.9 38.6
Bonnie Deas Bonnie Deas G 3 16.0 3.0 4.0 1.3 1.7 1.0 1.0 4.0 6.0 19 3 6.3 15.7 16.7 11.1 50.0 0.49 29.0 20.8
Amanda Muse Amanda Muse F 3 11.3 2.0 3.0 1.0 0.7 0.7 1.3 1.0 5.0 10 3 3.3 11.7 66.7 0 100.0 -0.4 77.3 66.7
L. Bilić L. Bilić G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Lina Jerkovic Lina Jerkovic G 3 9.7 0.0 0.3 1.7 0.3 0.0 0.3 1.0 1.0 18 3 6.0 24.1 0.0 0.0 0.0 0.07 0.0 0.0
Christina Karamouzi Christina Karamouzi 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

Alumni in the Pros

Every program's alumni →

Former UCLA players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last UCLA 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.

Active alumni

Player At School League Team GP MPG PPG RPG APG Last game Last 30 days
Kiki Rice 2022-26 WNBA Toronto Tempo 28 27.1 13.4 3.7 3.5 09-24 28 pts, 8 reb, 2 ast no games
Jordin Canada 2014-18 WNBA Atlanta Dream 43 31.1 11.6 3.5 7.3 10-31 18 pts, 4 reb, 5 ast Playoffs 7 GP, 11.6 PPG, 4.7 RPG, 5.9 APG
Charisma Osborne 2019-24 WNBA Portland Fire 3 19.7 9.7 1.7 1.3 09-22 11 pts, 3 reb, 1 ast no games
Michaela Onyenwere 2017-21 WNBA Washington Mystics 40 24.8 9.0 2.5 1.7 09-30 12 pts, 2 reb, 0 ast Playoffs no games
Kennedy Burke 2015-19 WNBA Connecticut Sun 37 23.9 8.8 3.2 1.4 08-26 2 pts, 2 reb, 3 ast no games
Charlisse Leger-Walker 2025-26 WNBA Connecticut Sun 44 23.6 7.2 2.5 3.7 09-24 7 pts, 2 reb, 1 ast no games
Gabriela Jaquez 2022-26 WNBA Chicago Sky 39 19.5 7.1 3.0 0.9 09-24 8 pts, 4 reb, 2 ast no games
Monique Billings 2014-18 WNBA Indiana Fever 43 18.7 6.5 4.8 1.0 10-01 0 pts, 1 reb, 2 ast Playoffs no games
Lauren Betts 2023-26 WNBA Washington Mystics 44 17.6 6.4 4.6 1.2 09-30 0 pts, 4 reb, 0 ast Playoffs no games
Rebekah Gardner - WNBA New York Liberty 43 14.7 5.1 2.3 1.2 10-07 3 pts, 0 reb, 1 ast Playoffs no games
Gianna Kneepkens 2025-26 WNBA Connecticut Sun 35 10.5 3.6 1.4 0.6 09-24 12 pts, 4 reb, 2 ast no games
Angela Dugalić 2021-26 WNBA Washington Mystics 37 8.9 2.7 2.3 0.6 09-30 0 pts, 0 reb, 0 ast Playoffs no games

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-10-31 Jordin Canada WNBA Playoffs Atlanta Dream @ Golden State Valkyries 36 18 4 5 Box
2026-10-29 Jordin Canada WNBA Playoffs Atlanta Dream vs Golden State Valkyries 34 10 4 2 Box
2026-10-26 Jordin Canada WNBA Playoffs Atlanta Dream @ Golden State Valkyries 31 12 6 5 Box
2026-10-07 Rebekah Gardner WNBA Playoffs New York Liberty @ Atlanta Dream 6 3 0 1 Box
2026-10-04 Rebekah Gardner WNBA Playoffs New York Liberty @ Atlanta Dream 4 0 0 0 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 Rebekah 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

2026-2027 Shot Zones

202 located field-goal attempts in 3 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).

Hunter25% Betts31% Hunter33% Betts50% Gardiner100% Deas50% Bransford100% Hunter43% Gardiner67% Brown60%
Points: who the team's points here most likely come from
Betts50% Bransford23% Brown33% Gardiner100% Betts23% Okafor40% Hunter44% Brown26% Gardiner38% Aarnisalo38%
Misses: who misses most here

Sienna BettsAddy BrownTimea GardinerDonovyn HunterKK BransfordElina AarnisaloSomto OkaforBonnie Deas

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 12-16 75.0 24 Donovyn Hunter 25% (6 pts) Sienna Betts 25% (6 pts) Sienna Betts 50% (2 misses) Elina Aarnisalo 25% (1 misses)
Paint (non-RA) 48-87 55.2 96 Sienna Betts 31% (30 pts) Addy Brown 17% (16 pts) KK Bransford 23% (9 misses) Sienna Betts 18% (7 misses)
Mid-range left 6-12 50.0 12 Donovyn Hunter 33% (4 pts) Timea Gardiner 33% (4 pts) Addy Brown 33% (2 misses) KK Bransford 33% (2 misses)
Mid-range center 4-5 80.0 8 Sienna Betts 50% (4 pts) Addy Brown 25% (2 pts) Timea Gardiner 100% (1 misses) -
Mid-range right 1-14 7.1 2 Timea Gardiner 100% (2 pts) - Sienna Betts 23% (3 misses) Donovyn Hunter 15% (2 misses)
Left corner 3 2-7 28.6 6 Bonnie Deas 50% (3 pts) Elina Aarnisalo 50% (3 pts) Somto Okafor 40% (2 misses) Bonnie Deas 20% (1 misses)
Right corner 3 2-11 18.2 6 KK Bransford 100% (6 pts) - Donovyn Hunter 44% (4 misses) Bonnie Deas 22% (2 misses)
Above-break 3 left 7-26 26.9 21 Donovyn Hunter 43% (9 pts) Timea Gardiner 29% (6 pts) Addy Brown 26% (5 misses) Bonnie Deas 21% (4 misses)
Above-break 3 center 3-11 27.3 9 Timea Gardiner 67% (6 pts) Addy Brown 33% (3 pts) Timea Gardiner 38% (3 misses) Lina Jerkovic 25% (2 misses)
Above-break 3 right 5-13 38.5 15 Addy Brown 60% (9 pts) Elina Aarnisalo 20% (3 pts) Elina Aarnisalo 38% (3 misses) Timea Gardiner 25% (2 misses)