These Sunday MLB games have a historically profitable betting algorithm with an 8% return on investment since 2005 associated with their moneyline picks.
If you had bet $100 on each game that has fit that betting trend since 2005, you'd be up about $16,000. That's roughly $1,000 per year.
And this is over a massive sample size: 1,900+ games over the past 17 odd seasons.
The proprietary betting system incorporates public tracking data also proprietary to the Action Network. The philosophy behind the algorithm is simple: Fade retail bettors on unpopular teams.
The games include the Cubs vs. Cardinals and Astros vs. Angels.
We don't recommend using this betting algorithm as an alternative to investing — variance is a much sturdier constraint in sports gambling compared to the financial markets — but similar principles apply in regard to gains over a long time horizon.
For reference, the annual average return of the S&P 500 — roughly the value of the American stock market — has been about 8% for over a century. Since the start of the New Year, that index is down roughly 18%.
Meanwhile, Bitcoin, for instance, is down over 58% over that same timeframe.
The pick requires certain parameters that we'll divulge after the paywall.
