California at Santa Barbara
Women's · Saturday, November 14, 2026, 3:00 PM ET at The Thunderdome. California our rank 26 · 4-0; Santa Barbara our rank 98 · 3-0.
Who will win California vs Santa Barbara?
The model gives California a 80% chance to beat UC Santa Barbara, with a projected score of California 73, Santa Barbara 62.
Half of games like thisFour in five
Calls of 80–90% have been right 85.0% of the time in 7,719 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 |
|---|---|---|---|---|---|
| TwidaleG · 32 min | 15.0 | 4.8 | 3.2 | 15+ 49% | |
| DowellG · 23 min | 12.0 | 5.4 | 2.6 | 10+ 62% | |
| BarnesF · 28 min | 9.8 | 4.1 | 1.4 | 10+ 47% | |
| MaulG · 26 min | 9.5 | 5.7 | 2.1 | 10+ 44% | |
| BorterF · 29 min | 12.1 | 2.4 | 1.7 | 10+ 63% | |
| Zonzon-HuygheG · 27 min | 9.5 | 4.3 | 1.6 | 10+ 45% | |
| FloresG · 21 min | 8.8 | 2.6 | 0.8 | 10+ 39% | |
| NaroG · 28 min | 7.8 | 2.6 | 4.2 | 10+ 32% | |
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 Lulu Twidale: California 69%Santa Barbara 31%
The white mark is the call with her: California 80%.
| Player | Points a game she adds | California without her | Change | Projected score |
|---|---|---|---|---|
| Lulu Twidale | 4.6 | 69% | −11 | 71–64 |
| Gisella Maul | 4.2 | 70% | −10 | 71–64 |
| Shannon Dowell | 3.7 | 71% | −9 | 71–64 |
| Taylor Barnes | 3.7 | 71% | −9 | 71–64 |
| Zoe Borter | 2.3 | 85% | +5 | 74–61 |
| Naomy Zonzon-Huyghe | 1.8 | 84% | +4 | 74–61 |
| Olivia Anderson | 1.8 | 84% | +4 | 74–61 |
| Maddie Naro | 1.4 | 83% | +3 | 74–61 |
Change is in California's win chance, in points. Scores read California, then Santa Barbara. 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
California 4-0WWWW
- Nov 12W 78-64vs Charleston
- Nov 8W 87-65vs San Francisco
- Nov 5W 100-46vs Long Beach St
- Nov 2W 80-58vs Washington St
- Last 4
- 4–0, scoring 86.2 and allowing 58.2
Santa Barbara 3-0WWW
- Nov 9W 92-48vs Seattle U
- Nov 5W 58-54at Pepperdine
- Nov 3W 101-26vs UC Santa Cruz
- Last 3
- 3–0, scoring 83.7 and allowing 42.7
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
| California | Santa Barbara | |
|---|---|---|
| Points scored per 100 possessions | 106.7 30th | 97.6 92nd |
| Points allowed per 100 | 81.2 28th | 90.7 120th |
| Possessions a game | 72.7 115th | 70.1 334th |
| Shooting (effective field-goal %) | 47.5% 70th | 49.4% 18th |
| Opponents' shooting | 44.5% 122nd | 44.1% 99th |
| Turnovers, share of possessions | 21.8% 50th | 22.4% 91st |
| Offensive rebounds, share of misses | 31.9% 226th | 35.0% 80th |
| Free throws per shot | 0.21 186th | 0.19 314th |
The widest gap: California's offense (30th) against Santa Barbara's defense (120th), of 363 teams.
First half
- Projected halftime score
- California 35, Santa Barbara 29
- First-half margin
- California by 6.2
- First-half points, both teams
- 64.0
- Projected second half
- California 38, Santa Barbara 33
- Second-half points, both teams
- 71.0
- Tied at the half
- 4%
- California, first halves so far
- Led 4 of 4 · 40.5 scored, 24.2 allowed
- Santa Barbara, first halves so far
- Led 2 of 3 · 43.7 scored, 24.7 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
California
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Lulu TwidaleG | 32 | 15.0 | 4.8 | 3.2 | 2.5 |
| 15+ pts 49% · 5+ reb 49% · 3+ threes 43% | |||||
| Taylor BarnesF | 28 | 9.8 | 4.1 | 1.4 | 1.0 |
| 10+ pts 47% · 4+ reb 53% · 1+ threes 56% | |||||
| Ruby PerkinsG | 27 | 6.8 | 3.8 | 2.7 | 0.8 |
| 5+ pts 64% · 4+ reb 50% · 1+ threes 51% | |||||
| Gisella MaulG | 26 | 9.5 | 5.7 | 2.1 | 1.2 |
| 10+ pts 44% · 6+ reb 47% · 2+ ast 59% | |||||
| Shannon DowellG | 23 | 12.0 | 5.4 | 2.6 | 0.6 |
| 10+ pts 62% · 3+ ast 46% · 1+ threes 45% | |||||
| Albina SylaC | 20 | 6.6 | 5.9 | 1.0 | 0.0 |
| 5+ pts 62% · 6+ reb 50% · 2+ ast 28% | |||||
| Zara RussellF | 16 | 4.8 | 3.1 | 0.6 | 0.4 |
| 5+ pts 44% · 3+ reb 56% · 1+ threes 33% | |||||
| Jovana JevtovicC | 14 | 6.4 | 3.3 | 0.5 | 0.2 |
| 5+ pts 60% · 3+ reb 59% · 1+ threes 17% | |||||
Santa Barbara
| Player | Min | Pts | Reb | Ast | 3s |
|---|---|---|---|---|---|
| Zoe BorterF | 29 | 12.1 | 2.4 | 1.7 | 1.4 |
| 10+ pts 63% · 3+ reb 40% · 2+ ast 47% | |||||
| Maddie NaroG | 28 | 7.8 | 2.6 | 4.2 | 1.0 |
| 10+ pts 32% · 3+ reb 46% · 4+ ast 57% | |||||
| Naomy Zonzon-HuygheG | 27 | 9.5 | 4.3 | 1.6 | 0.6 |
| 10+ pts 45% · 4+ reb 57% · 2+ ast 46% | |||||
| Karisma FloresG | 21 | 8.8 | 2.6 | 0.8 | 1.3 |
| 10+ pts 39% · 3+ reb 45% · 2+ threes 35% | |||||
| Nicole SteinerF | 21 | 7.5 | 5.5 | 0.8 | 0.0 |
| 5+ pts 69% · 6+ reb 45% · 2+ ast 20% | |||||
| Chauncey AndersenG | 18 | 6.1 | 4.2 | 0.7 | 0.5 |
| 5+ pts 57% · 4+ reb 56% · 1+ threes 35% | |||||
| Mauriana Hashemian-OrrG | 17 | 3.0 | 2.3 | 2.0 | 0.2 |
| 5+ pts 25% · 2+ reb 61% · 2+ ast 56% | |||||
| Olivia AndersonF | 16 | 5.3 | 2.9 | 0.3 | 0.3 |
| 5+ pts 49% · 3+ reb 51% · 1+ threes 28% | |||||
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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