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Stanford vs. USC CBB Prediction and Odds - Feb 18, 2023

USC takes on Stanford in College Basketball action at Galen Center on Saturday, commencing at 10:00PM ET.
Dimers' free betting picks for Stanford vs. USC, as well as game predictions and best odds, are featured below.
Who will win Stanford vs. USC?
Based on high-tech machine learning and data, Dimers.com has simulated Saturday's Stanford-USC College Basketball game 10,000 times.
Dimers' proven predictive analytics model, DimersBOT, currently gives USC a 70% chance of beating Stanford.
More: Stanford vs. USC Simulated 10,000 Times
Stanford vs. USC Current Odds
- Spread: USC -6.5 (-105), Stanford +6.5 (-110)
- Moneyline: USC -275, Stanford +235
- Total: Over/Under 141.5 (-110/-110)
Point Spread, Moneyline and Over/Under
USC is listed as the -6.5 favorite against Stanford, with -105 at BetMGM the best odds currently available.
For the underdog Stanford (+6.5) to cover the spread, PointsBet has the best odds currently on offer at -110.
PointsBet currently has the best moneyline odds for USC at -275, which means you can risk $275 to win $100, for a total payout of $375, if it gets the W.
Elsewhere, DraftKings Sportsbook currently has the best moneyline odds for Stanford at +235, where you can put down $100 to profit $235, earning a total payout of $335, if it wins.
The Over/Under for total points scored is set at 141.5 with PointsBet, which currently has the best odds for the Over at -110, as well as the best odds for the Under at -110.
As always, make sure you check all of the sportsbooks that are available in your state for the best College Basketball odds and lines.
According to DimersBOT, Stanford (+6.5) is a 58% chance of covering the spread, while the Over/Under total of 141.5 points is a 52% chance of going Under.
More: Track Your Bets via Bet Center
Best Bets for Stanford vs. USC
- Spread: Stanford +6.5 @ -110 via PointsBet (58% probability) 🔥
- Moneyline: Stanford @ +235 via DraftKings Sportsbook (0.3% edge)
- Total: Under 141.5 @ -110 via PointsBet (52% probability)
Every time you see a 🔥, you know it's one of Dimers' best bets of the day across all sports.
Dimers' best bets are based on complex modeling and betting intelligence to help you make smarter investments with your state's legal sportsbooks.
While USC is more likely to win the game, according to DimersBOT, betting on Stanford moneyline is the best option because of the edge identified when comparing our data-led probabilities to the sportsbooks' odds currently available.
Taking advantage of the edges seen here at Dimers is one of the keys to achieving long-term profitability as a sports bettor.
Stanford vs. USC Prediction
Dimers.com's predicted final score for Stanford vs. USC at Galen Center on Saturday has USC winning 72-68.
Click or tap on See Matchup for more.
Dimers has full betting coverage of Saturday's Stanford-USC matchup, including pregame predictions, free picks, and live win probabilities.
Remember, DimersBOT updates regularly, so check this article for the latest betting analysis before Stanford vs. USC on Saturday February 18, 2023.
Stanford vs. USC 2023 CBB Game Info
Saturday's action between USC and Stanford in College Basketball at Galen Center is scheduled to begin at 10:00PM ET.
- Who: Stanford vs. USC
- Date: Saturday February 18, 2023
- Time: 10:00PM ET / 7:00PM PT
- Venue: Galen Center
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Want more CBB analysis like this?
So, you liked our Stanford vs. USC betting analysis? Awesome. Did you know our College Basketball Betting News section has a detailed betting preview for every CBB matchup as soon as the sportsbooks put out their odds?
That's right, our predictive analytics model then compares those odds (aka Vegas odds) against its own probabilities to find edges in the markets. This allows us to create the most accurate CBB betting previews and beat the public and the sportsbooks to the punch.
It's only a click away, so why not take a look around?
While you're here, Dimers' NCAA Basketball Futures page is our in-house approach to revealing who will win March Madness 2022, with our data-led probabilities paired with the best odds available.
