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Monday MLB Rays vs. Blue Jays Prediction: A Contrarian MLB Betting Algorithm Pick (Sept. 12)

Monday MLB Rays vs. Blue Jays Prediction: A Contrarian MLB Betting Algorithm Pick (Sept. 12) article feature image
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Jim McIsaac/Getty Images. Pictured: Tampa Bay Rays shortstop Wander Franco

Tampa Bay Rays vs. Toronto Blue Jays Odds

Rays Odds +132
Blue Jays Odds -156
Over/Under 8.5 (o -122 / u +100)
Date Monday, September 12
Time 7:07 p.m. ET
Channel MLB.tv

*Odds via FanDuel as of Monday morning.

This Monday night matchup lines up with a historically profitable system that has registered a 7% return on investment since 2005.

That’s seven cents in return for every dollar wagered over the past decade, on average.

If you had bet $100 on each game that has fit the betting system over that timeframe, you’d be up about $18,850. That’s roughly $1,150 per year.

This algorithm has encompassed more than 2,500 MLB games since 2005 and has gone 1400-1165-120 (55%) over that timeframe. Substantial data sets like this one, of course, ensure statistical significance.

For reference, bettors must win about 52.4% of the time over the long run in order to make a profit on wagers at or around -110.

This line fades the public heavily, according to the Action Network’s proprietary tracking data. And that’s exactly what this betting trend factors in – totals that have been undervalued in the market by retail bettors.

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 regards to gains over a longtime horizon.

Rays vs. Blue Jays Betting System Pick