Last year’s thrilling Major League Baseball season was a rollercoaster ride across the summer that culminated in a dramatic seven game World Series between the Dodgers and Astros. It ended with the first World Series championship in the history of the Houston franchise, a team which only a few years before had been among the dregs of the league. Around the country, hope springs eternal on the eve of Opening Day in the hearts of fans of all 30 MLB franchises that perhaps this year will be the year for their team.
Each week this season, Unanimous AI will bring together swarms of enthusiastic baseball fans to make the hardest forecast in all of sports: predicting baseball games. The sheer number of variables that come into play in a typical Major League game – from individual talent, to tactics, to the sheer random chance of physics – make baseball the most unpredictable of all sports, so much so that a group of baseball analysts with ESPN and Baseball Prospectus regularly use the twitter hashtag “#cantpredictball” as unexpected occurrences happen throughout the season. The weekly Baseball Swarm hosted by Unanimous will work once again to demonstrate that it might be predictable after all—through Swarm AI Technology.
You can see above the Opening Day predictions made by the first MLB Swarm of the season. This first swarm likely has the toughest job of any other Baseball Swarm that Unanimous will run this year, because the group has only imperfect or old data to work with. That imperfect data comes in the form of Spring Training statistics put up in meaningless exhibition games. The old data relates to the swarm participants being able to look at last year’s team and individual player performances. While 2017 results are certainly useful, it’s necessary to remember that the offseason has a tendency to be very kind to young players looking to blossom into superstars…and very cruel to players on the wrong side of age 35.
Above you’ll see the replay for the swarm’s very first pick of the night for the 2018 campaign. The Dodgers host their arch-rival San Francisco Giants in the first of many matchups between these teams. In the replay you can see the swarm find a rapid consensus, perhaps based on the pitching matchup of Los Angeles ace Clayton Kershaw facing Ty Blach, a late replacement for the injured Madison Bumgarner on the mound. Although the swarm found a couple of games that it gave and equal $80 hypothetical bet confidence to, the group chose this game over the Cubs and Jon Lester as its best bet.
Unanimous AI runs predictive swarms every week for MLB, the NFL and more. Want those picks delivered to your inbox?
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