The Profitable NFL Betting Algorithm for 4 Games, Including Giants vs. Jaguars, Lions vs. Cowboys
Courtney Culbreath/Getty Images. Pictured: Trevor Lawrence.
The Action Network has developed a historically profitable predictive betting system that reports a return on investment (ROI) of 9% since 2005.
The algorithm has been profitable 56% of the time since the second Bush administration over a lengthy sample size, going 348-269-18 during that span.
The games targeted today are:
- Giants vs. Jaguars (1 p.m. ET)
- Lions vs. Cowboys (1 p.m. ET)
- Falcons vs. Bengals (1 p.m. ET)
- Jets vs. Broncos (4:25 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 $5,300.
Compare the 9% 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. Sports betting inherently has more variance game-to-game.