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San Francisco vs. Loyola Marymount Prediction, Picks and Odds
Our in-depth analysis offers a comprehensive prediction for the San Francisco vs. Loyola Marymount NCAAM game on January 4, 2026. Drawing from 10,000 simulations, we provide expert picks, betting odds, and insights.
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FINAL
WOMEN'S CBB
FINAL
WOMEN'S CBB
85
82
Jan 4, 10PM Gersten Pavilion
Jan 4, 10PM Gersten Pavilion
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San Francisco vs. Loyola Marymount: Detailed Breakdown
Matchup Overview
- Teams: San Francisco vs. Loyola Marymount
- Date: Sunday, January 4, 2026
- Time: 5:00 PM ET
- Venue: Gersten Pavilion
Current Betting Odds
- Spread: San Francisco favored at -2.5
- Total (Over/Under): 130.5
- Moneyline Odds: San Francisco +NaN, Loyola Marymount +NaN
Dimers' Win Probabilities
- San Francisco: 61%
- Loyola Marymount: 39%
Dimers' predictive model estimates win probabilities after simulating the outcome of the game 10,000 times. This method provides a precise and unbiased view of each team's chances.
Projected Final Score
Our predicted final score for this Women's College Basketball matchup is San Francisco 65-63 Loyola Marymount.
This prediction is based on each team's average score following 10,000 game simulations.
Our Prediction: Who Wins?
After extensive simulations, our model gives San Francisco a win probability of 61%, while Loyola Marymount has a win probability of 39%.
Summary
According to our analysis, San Francisco is more likely to beat Loyola Marymount in CBB action at Gersten Pavilion on Sunday. Discover the best spread, over/under and moneyline odds, picks and probabilities for the game on this page.
Our San Francisco vs. Loyola Marymount predictions, based on sophisticated simulations and current data, guide you in making informed decisions. Remember to bet responsibly and within your financial limits.
For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.
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Explore our expert Women's College Basketball predictions and the best Women's College Basketball bets today for more insights and betting opportunities.
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