Who Will Win Rams vs. Raiders? AI Predicts
It's looking good for the former St. Louis team.
Raiders head coach Jon Gruden has returned to Oakland, but his homecoming is predicted to be spoiled by a prolific Los Angeles Rams squad that’s setting its sights on a potential Super Bowl appearance. The Week 1 match-up between the Raiders and the Rams will also feature last season’s best defense in Oakland, who are also the NFL’s oldest team. Their opponent? The Rams, who are among the NFL’s youngest sides.
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.
The Rams have a superb defense of their own, paired with an offense that can easily put up 30 points a game. That’s why the hive-mind of 33 NFL experts is 72 percent confident that the Rams will win this game.
The Rams play the Raiders at 10:20 p.m. Eastern on Monday night and the game is being televised on ESPN.
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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