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UTSA Roadrunners Vs Florida Atlantic Owls: NCAAB Prediction and Betting Trends

UTSA Roadrunners Vs Florida Atlantic Owls: NCAAB Prediction and Betting Trends

The UTSA Roadrunners are set to take on the Florida Atlantic Owls in an NCAAB matchup on February 22, 2023. As staff writers for KingPin.pro, we're here to provide our prediction and analysis for the game, including betting trends and public betting data.

UTSA Roadrunners

The UTSA Roadrunners come into this game with a record of 4-6, having lost their last three games. The team is struggling on both ends of the court, with a field goal percentage of 40.34% and a three-point percentage of 33.11%. The Roadrunners are also dealing with the absence of Carlton Linguard Jr. due to academics.

Florida Atlantic Owls

The Florida Atlantic Owls have a solid record of 6-4 and are currently undefeated at home. The team has a higher field goal percentage of 46.65% and a three-point percentage of 36.89%. The Owls are also currently on a three-game winning streak and have beaten the Roadrunners once already this season.

Betting Trends

The Roadrunners are 4-9 ATS in their last 13 games, and the total has gone OVER in their last five games. On the other hand, the Owls are 6-3-1 ATS and have won their last three games. The total has gone OVER in six of their last nine games.

Public Betting Data

As of writing, the public betting data for this game shows that 58% of bets are on the Owls to cover the spread.

Prediction

Taking into account the teams' current form and the absence of Linguard Jr. for the Roadrunners, we predict that the Owls will win this game. We also believe that they will cover the spread, given their strong record at home and recent form.

Pick: Florida Atlantic Owls (-7)

If you're looking to place a bet on this game, be sure to download the KingPin.pro iOS and Android app. Our app provides real-time odds, analysis, and expert picks to help you make the best betting decisions. Good luck!

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Methodology and disclosure

Historical Kingpin articles preserve original body copy, authors, and publication dates. Structured pick or odds modules appear only when the source article provides them.

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