Who Will Win Bears vs. Packers? AI Predicts

The Cheeseheads have a good chance.

Lucas Patrick

The Green Bay Packers head to Chicago to play the Chicago Bears in this divisional matchup featured as the opening Sunday Night Football game on NBC. Chicago recently acquired linebacker Khalil Mack to their defense, but the Bears are merely hoping that his presence can help slow down Aaron Rodgers and Green Bay’s offense.

To predict the result of this Week 1 match-up, Unanimous A.I. used what’s known as swarm intelligence to forecast the week’s slate. About 50 NFL worked together as a hive mind to make picks. As you can see in the animation below, each participant controlled a little golden magnet and used it to drag the puck toward the answer they thought was the most likely outcome. As the users saw the puck move toward a particular outcome, it triggers a psychological response. They readjust their decision-making, building toward a consensus.

Green Bay should run away with the win.
Green Bay should run away with the win.

The swarm has high confidence — it’s 84 percent sure — that the Packers will win this game, but it won’t be easy because this is a very important game for both teams.

The Packers host the Bears for an 8:20 p.m. kick-off on Sunday, September 9 on NBC.

Unanimous A.I. has made some scarily accurate predictions in the past using swarm intelligence, as our previous article explains. For instance, the swarm picked this year’s Oscar winners with 94 percent accuracy. Here’s Unanimous A.I. founder Louis Rosenberg explaining swarm intelligence at a recent TEDx Talk.

In related news, Unanimous A.I. recently presented a scientific study of its ability to forecast games in the National Hockey League. In a 200-game, 20-week-long study of its Swarm AI in the NHL, it was able to easily outperform Las Vegas expectations, and its “Pick of the Week” was right 85 percent of the time, producing a 170 percent ROI. The paper, titled “Artificial Swarm Intelligence versus Vegas Betting Markets,” was presented at the at the IEEE Developments in eSystems Engineering Conference (DeSE 2018) this month at Downing College in Cambridge, England. In a press release issued with the study, co-author Gregg Wilcox says the technology can be applied to matters outside sports, too. “While it’s fun to predict sports, we are currently applying the same techniques to a wide variety of other domains, including financial forecasting, business forecasting, and medical diagnosis, all with positive results.”


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