Two college basketball games on Tuesday night fit a historically profitable algorithm that has returned 11% on investment since 2005.
UNCG vs. Arkansas (7 p.m. ET) and JMU vs. Virginia (8 p.m. ET) fit the betting system, which only aligns with about 25 college basketball games per season.
The algorithm has gone 253-189-8 (57%) since 2005. $500-per-game bettors would have profited nearly $25,000 over that time frame.
That’s an annualized 11% return on investment (ROI) over a very lengthy timeframe.
Some of the algorithm’s factors include the rankings of the teams, how the teams have played so far this season, ATS win percentages and more.
We don’t recommend using this betting algorithm as an alternative to investing — variance is much less forgiving in sports gambling compared to the financial markets — but similar principles apply in regard to profits over a long time horizon.
JMU vs. Virginia, UNCG vs. Arkansas Fits Algorithm That Picks Just 25 Times Per Season
This betting system plays on home favorites that are ranked in the top 15 in the most recent AP poll.
The team you’d bet on needs to have won its previous game and their ATS win percentage needs to be 75% or more. That means this team covers the spread a ton.
The game in question also needs to be a non-conference game.
All of those parameters fit the two home teams in the aforementioned contests: Virginia and Arkansas against the spread.
For JMU vs. Virginia, the best price on the market is with PointsBet at -12.5 (-110). For UNCG vs. Arkansas, the best price is with -20 (-115) at BallyBet.
Do keep in mind that this historically profitable algorithm applies to about 25 college basketball games per year. This might be an opportunity to cash in, but remember this is a long-term investment.
The best way to make money through this algorithm is to bet on every game that fits these parameters the rest of the year.
We’ll continue to write about them.
PRO Picks: Virginia -12.5 (-110) or better | Arkansas -20 (-115) or better
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