THE SWARM’S GUIDE TO THE MAJOR COLLEGE BOWL GAMES

Not all bowl games are created equal. Especially since the advent of the College Football Playoff, the difference in stature between the Peach Bowl between Alabama and Washington and the Famous Idaho Potato Bowl has never been greater.

In the same vein, not all “expert picks” are created equal, either. So, while Swarms of regular people using UNU having been crushing the experts all year long ( see 2016: A Year of Swarm Intelligence for more ), the team here at Unanimous AI took things a step further for the major college bowl games.

In addition to picking winners and Against the Spread for the ten biggest bowl games, we’ve also asked the Swarm to rank those ATS picks by confidence using the question, “how much should we bet on this game out of $100?” To be clear, this isn’t strictly a betting recommendation, but it does is help us establish a level of confidence in the swarm’s pick that may not be obvious from just a first glance.

The replay above shows the Swarm registering its most confident pick in UNU. UNU is a Artificial Swarm Intelligence platform that lets people think together as a closed-loop system, using swarming algorithms to converge on optimized answers. This system, which is based on the ways swarms form in nature to improve collective decision-making, has allowed groups of average people to defy the odds all season long.

Below is a clickable summary of all the Swarm’s predictions for the ten major bowl games. Please note that replays for ALL of the Swarm’s picks are available after the click. Those replays will show that when this Swarm picked an underdog to cover the Spread it also picked that team to win outright, and that’s reflected in the “Margin of Victory” column and linked replays.

We’ll be comparing the Swarm’s predictions to the expert picks throughout the bowl season. If you’d like to have those picks emailed to you, or even join the Swarm itself, please drop me a line!