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Texas A&M vs. Alabama Prediction: The Historically Profitable Pick on Spread (Saturday, Oct. 8)

Texas A&M vs. Alabama Prediction: The Historically Profitable Pick on Spread (Saturday, Oct. 8) article feature image
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Photo by Jonathan Bachman/Getty Images. Pictured: Head coach Jimbo Fisher of the Texas A&M Aggies

The Action Network has developed a historically profitable predictive betting system that reports a return on investment (ROI) of 12% since 2005.

The algorithm has been profitable 58% of the time since the Bush administration over a lengthy sample size, going 285-210-9 over that timeframe.

The games targeted tonight are:

  • Texas A&M vs. Alabama (8 p.m. ET)
  • South Carolina vs. Kentucky (7:30 p.m. ET)

The pick is always on the spread and only lights up under very specific parameters. The algorithm also incorporates tracking data proprietary to Action Network.

Statistical significance is ensured by using a massive data set over a long time horizon. If you had bet $100 on each game that has fit this particular betting algorithm, you’d be up about $6,100.

Compare the 12% ROI to the average annual return of the S&P 500, which has hovered at around 8% for over a century. That index is down about 24% year-to-date. Meanwhile, Bitcoin, for instance, is down about 60% during that same timeframe.

Still, despite similar principles regarding long time horizons and sample sizes, don’t use this betting algorithm as an alternative to investing in the stock market. Sports betting inherently has more variance game-to-game.

The 58% Profitable Betting Algorithm for Texas A&M vs. Alabama

This betting system targets road underdogs during conference games.