(Preface: I'm not particularly interested in the ethical debates around gambling with this comment, though I personally think it's something people should be allowed to do.). I've been slowly getting into Machine Learning for a while now, and have been looking for projects to accelerate my focus. I also happen to like to gamble (responsibly), so I've recently started researching how to apply Machine/Deep Learning to…
I've won 4 of my last 9 baseball "futures" bets, with more than 2-1 payoffs (some were to make the playoffs, or o/u games won, etc.) That's the way to bet on baseball -- use a large sample size. It's easy enough, once the futures lines come out, to find bets that clearly have a positive expected outcome, when using advanced sabermetrics (the baseball term for "statistics" aka Moneyball).
Unless this is a passion, take the time you have allocated to running the analysis, and use it in a healthy manner. Or multiply it by your hourly wage. Then read fangraphs or BP to find the exploitable futures lines.