AI Generated 6 team parlay produces 2700% ROI

The UNU Baseball Swarm AI is more than just a prediction experiment. Of course, challenging our community baseball enthusiasts to forecast the outcome of Major League Baseball games is part of the fun, but we also use the weekly swarm to refine the methodologies that allow our Swarm AI platform to amplify intelligence and performance. Last Friday, our most recent refinements showed early signs of being very, very effective.

Both of last week’s baseball swarms did well, combining for a 21-8 record in two days of MLB action. Even more impressively, the Swarm AI 72% accuracy easily outclassed the individual performers, who averaged 15 out of 29 games correct, which, at 51% accuracy, is little better than a coinflip.

But when two of Tuesday’s High Confidence picks didn’t pan out on the way to a 10-4 record, our researchers tweaked their questioning to try to better understand our Betting Confidence. With that in mind, a new methodology for grouping Betting Confidence into buckets was introduced on Friday, which you can see on our blog, AI Picks for 6/16 and in the chart below.

Combining the Swarm AI’s Brainpower rankings with its Betting Confidence inspired one member of the Baseball Swarm to put two parlays with teams culled from the Best Bets and Proceed with Caution picks. The first ticket included 6 teams on a $6 wager, including one underdog playing on the road. The result? A $168 return, which works out to a 2,700% ROI.

Past performance doesn’t guarantee future results, of course. And it would be foolish to expect six team parlays to hit regularly, but this is just one more example of the power of Swarm AI, and of our research teams’ increasing understanding of how swarming can improve human intelligence and performance.

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