San Francisco at UC San Diego
Women's · Sunday, November 15, 2026, 4:00 PM ET at LionTree Arena. San Francisco our rank 123 · 2-1; UC San Diego our rank 135 · 2-1.
Who will win San Francisco vs UC San Diego?
The model gives San Francisco a 54% chance to beat UC San Diego, with a projected score of San Francisco 74, UC San Diego 73.
Half of games like thisFour in five
Calls of 50–60% have been right 55.7% of the time in 7,540 past games, and the typical miss on the margin is 9.5 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.
Players to watch
| Player | Pts | Reb | Ast | Last games | Chance of |
|---|---|---|---|---|---|
| EdokpaigbeG · 34 min | 18.3 | 3.3 | 1.9 | 20+ 40% | |
| CargolG · 36 min | 13.6 | 4.1 | 5.8 | 15+ 40% | |
| YenesF · 22 min | 10.9 | 5.5 | 1.8 | 10+ 55% | |
| MiG · 23 min | 10.2 | 3.3 | 3.0 | 10+ 50% | |
| WattsG · 32 min | 17.0 | 3.2 | 2.5 | 15+ 60% | |
| CondronF · 36 min | 16.8 | 8.2 | 2.2 | 15+ 59% | |
| FeimanG · 33 min | 14.3 | 3.8 | 2.4 | 15+ 45% | |
| SinG · 33 min | 13.2 | 3.9 | 2.7 | 15+ 38% | |
Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line
The game without one player
Without Candy Edokpaigbe: San Francisco 42%UC San Diego 58%
The white mark is the call with her: San Francisco 54%.
| Player | Points a game she adds | San Francisco without her | Change | Projected score |
|---|---|---|---|---|
| Candy Edokpaigbe | 3.2 | 42% | −12 | 72–74 |
| Aina Cargol | 1.5 | 49% | −5 | 73–74 |
| Noelia Mourino | 1.1 | 50% | −4 | 73–73 |
| Lucia Yenes | 1.0 | 50% | −4 | 73–73 |
| Lev Feiman | 1.8 | 61% | +7 | 75–72 |
| Dymonique Maxie | 1.5 | 60% | +6 | 75–72 |
| Rosa Smith | 1.1 | 58% | +4 | 74–72 |
| Michaela Fairwell | 0.5 | 56% | +2 | 74–73 |
Change is in San Francisco's win chance, in points. Scores read San Francisco, then UC San Diego. A player's value is what the team is better by with her than with a replacement, from the player ratings.
Model against the line
Your call
All of today's gamesPlay-by-play
Team numbers
Form
San Francisco 2-1WLW
- Last 3
- 2–1, scoring 75.7 and allowing 78.7
UC San Diego 2-1LWW
- Nov 12W 78-64vs Portland St
- Nov 7W 90-88vs San Diego
- Nov 2L 63-79at Washington
- Last 3
- 2–1, scoring 77.0 and allowing 77.0
The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.
Offense against defense
| San Francisco | UC San Diego | |
|---|---|---|
| Points scored per 100 possessions | 95.7 108th | 96.0 104th |
| Points allowed per 100 | 92.9 151st | 94.9 191st |
| Possessions a game | 74.8 16th | 72.8 110th |
| Shooting (effective field-goal %) | 46.0% 140th | 47.6% 68th |
| Opponents' shooting | 46.6% 252nd | 45.8% 203rd |
| Turnovers, share of possessions | 22.6% 108th | 19.7% 2nd |
| Offensive rebounds, share of misses | 32.1% 221st | 29.2% 340th |
| Free throws per shot | 0.21 191st | 0.16 360th |
The widest gap: San Francisco's offense (108th) against UC San Diego's defense (191st), of 363 teams.
First half
- Projected halftime score
- San Francisco 35, UC San Diego 34
- First-half margin
- San Francisco by 0.7
- First-half points, both teams
- 69.5
- Projected second half
- San Francisco 39, UC San Diego 38
- Second-half points, both teams
- 77.1
- Tied at the half
- 4%
- San Francisco, first halves so far
- Led 1 of 3 · 32.0 scored, 37.3 allowed
- UC San Diego, first halves so far
- Led 1 of 3 · 33.0 scored, 34.7 allowed
Our own projection, not a sportsbook's first-half line. On 10,911 past games it had not seen, the halftime leader was right 73.0% of the time and the first-half total was off by 8.0 points on average. This season: 404 of 492 halftime leaders right. Scorecard
Player projections
San Francisco
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Aina CargolG | 36 | 13.6 | 4.1 | 5.8 | 1.2 |
| 15+ pts 40% · 4+ reb 54% · 6+ ast 51% | |||||
| Candy EdokpaigbeG | 34 | 18.3 | 3.3 | 1.9 | 1.1 |
| 20+ pts 40% · 3+ reb 58% · 2+ ast 53% | |||||
| Maria BurligaG | 24 | 8.6 | 5.5 | 1.4 | 0.5 |
| 10+ pts 38% · 6+ reb 46% · 2+ ast 39% | |||||
| Savi MiG | 23 | 10.2 | 3.3 | 3.0 | 1.4 |
| 10+ pts 50% · 3+ reb 59% · 3+ ast 55% | |||||
| Lucia YenesF | 22 | 10.9 | 5.5 | 1.8 | 0.7 |
| 10+ pts 55% · 2+ ast 50% · 1+ threes 49% | |||||
| Noelia MourinoF | 17 | 5.1 | 6.2 | 2.1 | 0.0 |
| 5+ pts 47% · 6+ reb 55% · 2+ ast 58% | |||||
| Keiryn McGuffG | 16 | 5.0 | 3.4 | 0.6 | 0.5 |
| 5+ pts 47% · 4+ reb 42% · 1+ threes 37% | |||||
| Natasa TausovaF | 13 | 4.4 | 2.5 | 0.8 | 0.6 |
| 5+ pts 40% · 3+ reb 42% · 1+ threes 42% | |||||
UC San Diego
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Erin CondronF | 36 | 16.8 | 8.2 | 2.2 | 0.8 |
| 43% to play · 15+ pts 59% · 8+ reb 54% · 1+ threes 52% | |||||
| Sadie SinG | 33 | 13.2 | 3.9 | 2.7 | 2.0 |
| 15+ pts 38% · 4+ reb 50% · 3+ ast 48% | |||||
| Lev FeimanG | 33 | 14.3 | 3.8 | 2.4 | 0.7 |
| 15+ pts 45% · 4+ reb 49% · 1+ threes 46% | |||||
| Coryn WattsG | 32 | 17.0 | 3.2 | 2.5 | 2.7 |
| 22% to play · 15+ pts 60% · 3+ reb 56% · 3+ threes 47% | |||||
| Dymonique MaxieG | 30 | 9.5 | 3.4 | 3.9 | 0.6 |
| 10+ pts 45% · 4+ ast 53% · 1+ threes 44% | |||||
| Alexandra CumminsG | 26 | 6.9 | 2.0 | 1.9 | 1.5 |
| 5+ pts 65% · 2+ reb 55% · 2+ ast 53% | |||||
| Rosa SmithG | 26 | 7.7 | 2.6 | 2.1 | 1.1 |
| 10+ pts 31% · 3+ reb 45% · 2+ ast 59% | |||||
| Michaela FairwellG | 20 | 8.0 | 3.2 | 1.5 | 0.5 |
| 10+ pts 33% · 3+ reb 57% · 2+ ast 43% | |||||
Missed the last game: Erin Condron (38 min a game) and Coryn Watts (38 min a game).
Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done
Win probability
Game chat
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