Cal Poly vs. UC Santa Barbara CBB Prediction and Odds - Mar 9, 2023

UC Santa Barbara and Cal Poly clash in College Basketball action at Dollar Loan Center on Thursday, starting at 9:00PM ET.

Dimers' top betting picks for Cal Poly vs. UC Santa Barbara, as well as game predictions and best odds, are featured in this article.

Today's Cal Poly vs. UC Santa Barbara betting analysis is sponsored by WynnBET, which has an outstanding Bet $100, Get $100 Bet Credit offer for new users.

Who will win Cal Poly vs. UC Santa Barbara?

Based on state-of-the-art machine learning and data, Dimers.com has simulated Thursday's Cal Poly-UC Santa Barbara College Basketball game 10,000 times.

Dimers' renowned predictive analytics model, DimersBOT, gives UC Santa Barbara an 84% chance of winning against Cal Poly.

More: Cal Poly vs. UC Santa Barbara Simulated 10K Times

Cal Poly vs. UC Santa Barbara Current Odds

• Spread: UC Santa Barbara -10.5 (-110), Cal Poly +10.5 (-110)
• Moneyline: UC Santa Barbara -575, Cal Poly +450
• Total: Over/Under 124.5 (-115/+105)

Point Spread, Moneyline and Over/Under

UC Santa Barbara is the -10.5 favorite versus Cal Poly, with -110 at PointsBet the best odds currently available.

For the underdog Cal Poly (+10.5) to cover the spread, PointsBet also has the best odds currently on offer at -110.

PointsBet currently has the best moneyline odds for UC Santa Barbara at -575. That means you can risk $575 to win $100, for a total payout of $675, if it gets the W.

Elsewhere, DraftKings Sportsbook currently has the best moneyline odds for Cal Poly at +450, where you can bet $100 to profit $450, earning a total payout of $550, if it wins.

The Over/Under for total points scored is set at 124.5 with FanDuel Sportsbook, which currently has the best odds for the Over at -115, while DraftKings Sportsbook currently has the best odds for the Under at +105.

As always, check out the sportsbooks you can bet with in your state for the best College Basketball odds and lines.

According to DimersBOT, UC Santa Barbara (-10.5) is a 54% chance of covering the spread, while the Over/Under total of 124.5 points is considered an equal 50-50 chance of hitting.

More: Live Win Probabilities for All Major College Sports

Best Bets for Cal Poly vs. UC Santa Barbara

• Spread: UC Santa Barbara -10.5 @ -110 via PointsBet (54% probability)
• Moneyline: UC Santa Barbara @ -575 via PointsBet (84% probability)
• Total: Under 124.5 @ +105 via DraftKings Sportsbook (50% probability)

Dimers' best bets are based on world-class modeling and betting intelligence to bring you the best possible plays every day of the year.

Cal Poly vs. UC Santa Barbara Prediction

Dimers.com's predicted final score for Cal Poly vs. UC Santa Barbara at Dollar Loan Center on Thursday has UC Santa Barbara prevailing 67-56.

Click or tap on See Matchup to reveal more.

Dimers has full coverage of Thursday's Cal Poly-UC Santa Barbara matchup, including pregame predictions, free picks, and live win probabilities.

Don't forget, DimersBOT updates frequently, so keep an eye on this article for any changes to our betting insights ahead of Cal Poly vs. UC Santa Barbara on Thursday March 9, 2023.

Cal Poly vs. UC Santa Barbara 2023 CBB Game Info

Thursday's matchup between UC Santa Barbara and Cal Poly in College Basketball at Dollar Loan Center is scheduled to start at 9:00PM ET.

• Who: Cal Poly vs. UC Santa Barbara
• Date: Thursday March 9, 2023
• Time: 9:00PM ET / 6:00PM PT
• Venue: Dollar Loan Center

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What CBB games are on tonight?

Now you've got the 411 on Cal Poly vs. UC Santa Barbara, get the latest betting coverage for all upcoming NCAA Basketball games in our College Basketball Bet Hub, where you can find probabilities and odds, and our best bets for each and every CBB matchup.

Want a pick for the Spread? You got it. How about the Over/Under? Yup, got that too. The Moneyline? Yes sir. And these picks are good, I mean REALLY good. Take a look now!

Finally, Dimers' CBB Futures page is our in-house approach to revealing who will win March Madness, with our data-led probabilities compared to the best odds on the market.