New Orleans vs. Oklahoma State Basketball Prediction - November 20, 2023
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College Basketball action continues on Monday at 8:00PM ET as New Orleans takes on the favored Oklahoma State at Gallagher-Iba Arena.
Dimers' full betting preview for Monday's New Orleans vs. Oklahoma State game includes the latest betting odds, as well as our predictions and best bets.
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Who Will Win: New Orleans vs. Oklahoma State
Using state-of-the-art machine learning and data, Dimers.com has simulated the outcome of Monday's New Orleans-Oklahoma State College Basketball matchup 10,000 times.
Dimers' popular predictive analytics model, DimersBOT, currently gives Oklahoma State an 89% chance of defeating New Orleans.
More: Get the latest College Basketball picks
New Orleans vs. Oklahoma State Odds
We have researched the best betting odds in America for this game, which are listed here:
Bet Type | New Orleans | Oklahoma State |
---|---|---|
Spread | +13.5 (-108) | -13.5 (-110) |
Moneyline | +950 | -1000 |
Total | o146.5 (-108) | u146.5 (-110) |
Odds are correct at the time of publication and subject to change.
Oklahoma State is the -13.5 favorite versus New Orleans, with -110 at BetMGM the best odds currently available.
For the underdog New Orleans (+13.5) to cover the spread, DraftKings Sportsbook has the best odds currently on the market at -108.
FanDuel Sportsbook currently has the best moneyline odds for Oklahoma State at -1000. That means you can risk $1,000 to win $100, for a total payout of $1,100, if it gets the W.
Elsewhere, DraftKings Sportsbook currently has the best moneyline odds for New Orleans at +950, where you can bet $100 to profit $950, earning a total payout of $1,050, if it wins.
The Over/Under sits at 146.5 with DraftKings Sportsbook, which currently has the best odds for the Over at -108, while BetMGM currently has the best odds for the Under at -110.
According to DimersBOT, New Orleans (+13.5) has a 52% chance of covering the spread, while the 146.5-point Over/Under has an equal 50-50 chance of hitting.
As always, make sure you check all of the online sports betting sites available in your state for the best College Basketball odds and lines.
Best Bets: New Orleans vs. Oklahoma State
By comparing our predictions to the odds listed above, we have identified the best bets to make on this game:
- Spread: New Orleans +13.5 @ -108 via DraftKings Sportsbook (52% probability)
- Moneyline: New Orleans @ +950 via DraftKings Sportsbook (1.9% edge)
- Total: Under 146.5 @ -110 via BetMGM (50% probability)
Dimers' College Basketball best bets are based on world-class simulations and betting intelligence to bring you the best possible plays every day of the year.
While Oklahoma State is more likely to win the game, according to DimersBOT, taking New Orleans moneyline is the best option because of the 1.9% edge found when comparing our data-led probabilities to the betting odds currently on offer.
Taking advantage of the edges seen on Dimers.com is crucial to achieving long-term profitability as a sports bettor.
New Orleans vs. Oklahoma State Prediction
Dimers.com's predicted final score for New Orleans vs. Oklahoma State at Gallagher-Iba Arena this Monday has Oklahoma State winning 79-65.
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Dimers has full coverage of Monday's New Orleans vs. Oklahoma State, including pregame predictions, betting picks, and live scores.
Remember, DimersBOT updates regularly, so keep an eye on this article for any changes to our betting insights before New Orleans vs. Oklahoma State on Monday November 20, 2023.
New Orleans vs. Oklahoma State Preview
Monday's game between Oklahoma State and New Orleans in College Basketball at Gallagher-Iba Arena is scheduled to begin at 8:00PM ET.
- Who: New Orleans vs. Oklahoma State
- Date: Monday November 20, 2023
- Time: 8:00PM ET / 5:00PM PT
- Venue: Gallagher-Iba Arena
How to Bet on New Orleans vs. Oklahoma State
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Conclusion
This detailed betting preview includes our New Orleans vs. Oklahoma State prediction and College Basketball odds.
Dimers' predictions are based on 10,000 simulations per game, using reliable and up-to-date data sources and analytical methods.
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