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    Red-hot SportsLine data scientist identifies three MLB best bets for Sunday

    SportsLine data scientist Stephen Oh is up huge in 2019. Now he looks to stay hot with Sunday's picks, which offer a parlay payout of more than 6-1.
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    Using his trusty projection model as a guide, SportsLine data scientist Stephen Oh has locked in three confident picks for Sunday's MLB slate, and they offer strong parlay payout.

    The renowned co-founder of Accuscore, Oh brought in more than $1,100 profit to those wagering $100 on his MLB picks last season, and he's really crushing it in 2019, currently on a 151-114 heater, bringing in $3,329 to $100 bettors in that span. Now, Oh has crunched the numbers for Sunday's games using his projection model and has posted his three best bets. Parlaying his three selections will pay more than 6-1.

    We can tell you that Oh is going with the Oakland A's (-151) at home against the San Francisco Giants

    "My model says Oakland wins this game more than 70 percent of the time, so you're getting solid value with the A's at this price," Oh told SportsLine. "Oakland has been one of the hottest teams in baseball recently, winning seven of nine games, including six of seven against the heavyweight Astros and Yankees. On Sunday, the A's will be facing rookie Logan Webb who will be making his second major league start."

    Oh and his computer model also have found a key x-factor that has him all over a road underdog Sunday, offering MAJOR value on the money line and pushing the parlay to new heights. You ABSOLUTELY need to see what he's picking before you make any plays of your own.

    So which MLB picks should you make Sunday for a shot at a parlay payout of more than 6-1? And which road underdog should you be all over? ... Join SportsLine right now to get Sunday's best bets, all from the data scientist on a HUGE MLB roll!

    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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