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    Virginia vs. Pittsburgh odds, line, spread: Proven model reveals college basketball picks, predictions for Dec 3, 2021

    The SportsLine projection model has simulated Friday's matchup between Virginia and Pittsburgh 10,000 times and revealed its college basketball picks.
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    Virginia (5-3) entered the season ranked 25th in the country only to lose its season-opener to Navy and fall out of the rankings. The Cavaliers continue their climb back to national prominence on Friday when they open up conference play against Pittsburgh (2-5). Jayden Gardner has been the top producer for Virginia this season, and is averaging 14 points and 8.3 rebounds per game.

    The Cavaliers are favored by 13.5 points in the latest Virginia vs. Pittsburgh odds from Caesars Sportsbook, and the over-under is set at 112.5. Before you make any Pittsburgh vs. Virginia picks and predictions, you'll want to see what the SportsLine Projection Model is saying.

    The SportsLine Projection Model simulates every Division I college basketball game 10,000 times. Over the past five-plus years, the proprietary computer model has generated an impressive profit of almost $2,100 for $100 players on its top-rated college basketball picks against the spread. Anyone who has followed it has seen HUGE returns!

    Now, it has simulated Virginia vs. Pittsburgh 10,000 times and the results are in. We can tell you that the model is leaning Over, and it's also generated a point-spread pick that is hitting in almost 60 percent of simulations. You absolutely need to see it before locking in your own picks.

    Who wins Virginia vs. Pittsburgh? And which side of the spread is a must-back? Join SportsLine right now to see which side of the spread you need to jump on, all from the computer model that has crushed its college basketball picks ... If you're already a member, see the picks below!

    GET VEGAS EXPERT PICKS FOR NFL, MLB, NBA, CBB, GOLF, NHL, HORSE RACING AND MORE - PLUS ADVANCED COMPUTER SIMULATIONS, WINNING TOOLS, AND MORE!

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    SportsLine Staff

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