There are five games on Tuesday's college basketball docket that fit an against-the-spread (ATS) betting algorithm with a 57% win rate since 2005.
Since then, if you had wagered on the roughly 50 college basketball games per year that have fit the algorithm, you'd be up over $7,000.
That's about $440 per year — good for a solid 57% win rate over a long sample size. For reference, a success rate of 52.4% is enough to turn a profit.
The system has a historical 11% return on investment (ROI). Of course, anything above 0% is an ROI win. Any ROI above 8% beats the stock market's average annual return.
Bitcoin, for instance, is up about 10% over the past calendar year.
The four games this algorithm is targeting are UNC vs. Louisville, Michigan State vs. Maryland, Creighton vs. UConn, Texas A&M vs. Tennessee and Providence vs. St. Johns.
Read further to see what the system is, the theory behind it and how to incorporate it for the game.
