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San Francisco

2026-2027 Team Stats (3 games)

75.7
PPG
78.7
Opp
-3.0
Margin
42.0%
FG%
26.8%
3P%
64.5%
FT%
42.0
RPG
17.7
APG
16.3
TO
80.4
Est. poss./game
70.6
Adj PPG
69.4
Adj Opp PPG
#112
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 1147 (returning production + recruiting): last season 1046, returning +98, transfers +3, freshmen +0 More โ†’ 1184 (#83) Preseason prior 1147 (returning production + recruiting): last season 1046, returning +98, transfers +3, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More โ†’ 1115 (#83) HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More โ†’ 1113 (#83) HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More โ†’ +5.2 (#120) HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More โ†’ +5.2 (#121) HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.588 (#133) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.2 More โ†’ 0.611 (#121) AdjNet +2.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.9 More โ†’ 0.627 (#117) AdjNet +2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.6 | AdjD 69.4 More โ†’ 0.595 (#112) AdjO 70.6 | AdjD 69.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.7 | AdjD 69.4 More โ†’ 0.594 (#112) AdjO 70.7 | AdjD 69.4
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 โ†’ 0.641 (#109) 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 โ†’ 0.641 (#109) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 179 | GP 3 More โ†’ 1121 (#85) RD 179 | 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 โ†’ 0.682 (#94) 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
2026-11-05 vs Hawai'i Rainbow Wahine W 85 - 79
2026-11-08 @ California Golden Bears L 65 - 87
2026-11-11 @ Air Force Falcons W 77 - 70
2026-11-15 @ UC San Diego Tritons - Preview
2026-11-19 vs Long Beach State Beach - Preview

2026-2027 Roster

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. 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%
Maria Burliga Maria Burliga G 1 32.0 17.0 11.0 1.0 2.0 2.0 1.0 12.0 20.0 3 3 1.0 1.6 58.3 0.0 37.5 -0.48 54.8 58.3
Aina Cargol Aina Cargol G 1 41.0 17.0 4.0 6.0 3.0 2.0 5.0 10.0 17.0 5 3 1.7 1.9 50.0 50.0 75.0 1.64 62.9 55.0
Candy Edokpaigbe Candy Edokpaigbe G 1 37.0 15.0 3.0 1.0 2.0 0.0 2.0 21.0 -2.0 -12 3 -4.0 -4.8 33.3 0.0 25.0 -1.53 33.0 33.3
Savi Mi Savi Mi G 1 25.0 14.0 4.0 5.0 4.0 0.0 1.0 14.0 12.0 18 3 6.0 10.7 28.6 22.2 80.0 1.13 43.2 35.7
Lucia Yenes Lucia Yenes F 1 14.0 7.0 3.0 3.0 0.0 0.0 1.0 6.0 6.0 16 3 5.3 10.3 50.0 50.0 0 1.64 58.3 58.3
N. Mourio N. Mourio F 1 24.0 6.0 14.0 4.0 0.0 1.0 3.0 5.0 17.0 -9 3 -3.0 -7.5 60.0 0 0.0 -2.11 55.1 60.0
Jayda Queeley Jayda Queeley G 1 17.0 3.0 1.0 1.0 1.0 0.0 0.0 4.0 2.0 -23 3 -7.7 -28.3 25.0 100.0 0 -5.5 37.5 37.5
Emilie Beggs Emilie Beggs G 1 6.0 2.0 1.0 0.0 0.0 0.0 0.0 1.0 2.0 -25 3 -8.3 -29.5 0.0 0 100.0 -3.22 53.2 0.0
Keiryn McGuff Keiryn McGuff F 1 19.0 2.0 3.0 0.0 0.0 1.0 1.0 6.0 -1.0 -28 3 -9.3 -23.4 16.7 0.0 0 -3.82 16.7 16.7
Natasa Tausova Natasa Tausova F 1 7.0 2.0 1.0 0.0 0.0 0.0 1.0 3.0 -1.0 -1 3 -0.3 -1.1 33.3 0.0 0 0.39 33.3 33.3
Ines Babaya Ines Babaya G 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 -1 2 -0.5 -6.4 0.0 0.0 0 -1.22 0.0 0.0
Paula Tirado Paula Tirado 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

2026-2027 Shot Zones

83 located field-goal attempts in 1 game (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).

Edokpaigbe24% Edokpaigbe50% Cargol25% Queeley100% Mi100% Yenes100% Cargol50%
Points: who the team's points here most likely come from
Edokpaigbe42% Cargol18% Queeley100% Queeley33% Edokpaigbe33% Edokpaigbe33% Edokpaigbe67% Mi50% Yenes50% Mi33%
Misses: who misses most here

Candy EdokpaigbeAina CargolSavi MiLucia YenesJayda Queeley

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 21-33 63.6 42 Candy Edokpaigbe 24% (10 pts) Maria Burliga 24% (10 pts) Candy Edokpaigbe 42% (5 misses) Keiryn McGuff 25% (3 misses)
Paint (non-RA) 2-13 15.4 4 Candy Edokpaigbe 50% (2 pts) Maria Burliga 50% (2 pts) Aina Cargol 18% (2 misses) Candy Edokpaigbe 18% (2 misses)
Mid-range left 0-1 0.0 0 - - Jayda Queeley 100% (1 misses) -
Mid-range center 0-3 0.0 0 - - Jayda Queeley 33% (1 misses) Lucia Yenes 33% (1 misses)
Mid-range right 4-7 57.1 8 Aina Cargol 25% (2 pts) Candy Edokpaigbe 25% (2 pts) Candy Edokpaigbe 33% (1 misses) Lucia Yenes 33% (1 misses)
Left corner 3 1-4 25.0 3 Jayda Queeley 100% (3 pts) - Candy Edokpaigbe 33% (1 misses) Keiryn McGuff 33% (1 misses)
Right corner 3 0-3 0.0 0 - - Candy Edokpaigbe 67% (2 misses) Ines Babaya 33% (1 misses)
Above-break 3 left 1-5 20.0 3 Savi Mi 100% (3 pts) - Savi Mi 50% (2 misses) Candy Edokpaigbe 25% (1 misses)
Above-break 3 center 1-3 33.3 3 Lucia Yenes 100% (3 pts) - Lucia Yenes 50% (1 misses) Savi Mi 50% (1 misses)
Above-break 3 right 2-11 18.2 6 Aina Cargol 50% (3 pts) Savi Mi 50% (3 pts) Savi Mi 33% (3 misses) Candy Edokpaigbe 22% (2 misses)