Major League Baseball is a game in which probabilities and variables stack up on top of one another into exponentially complex arrays. It is why predicting the outcomes of baseball games is so difficult, and why the sport lags behind American football, basketball and soccer in popularity with the gambling community. In fact, one of the most popular baseball twitter accounts is called You Can’t Predict Ball.
Except….maybe you can? As we detailed this week, our weekly swarm made up of MLB fans is on an incredible hot streak lately. Over the last two weeks covering 60 games, the swarm has posted a 45-15 record. Since the Memorial Day weekend, they’ve been cruising along at a 68% success rate. The one factor that shows the continued unpredictability of baseball? In that span, the Swarm’s pick of the night has lost three times. In all three of those situations, the swarm didn’t go crazy. It banked on a Cy Young-worthy pitcher (Chris Sale, Corey Kluber, and Justin Verlander in all three cases), which means that at least the extent to which baseball can be predicted obviously has some limits. Here’s how the swarm sees today’s games as they look to continue their winning ways:
The Houston Astros have been just as torrid as the MLB Swarm lately, winning 13 of their last 14 games. Tonight they play a team that is the polar opposite of hot, the Kansas City Royals, who have won just once in their last 10 games.
The very nature of this game – two teams streaking in opposite directions – may have contributed to the swarm’s heavy conviction as shown in the replay above. Even the very mild dissent on the high confidence answer of a Houston win by 2 or more is still on the Astros’ side of the hex. This was a prediction where all swarm factors point to the highest confidence and a pick of the night.
Unanimous AI runs predictive swarms every week for MLB, the NFL and more. Want those picks delivered to your inbox?
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