Yankees have been ruined by analytics

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The Yankees are off to an underwhelming 5-5 start to the 2022 season and many fans have been left scratching their heads wondering who they should blame. Yankees GM Brian Cashman said during the offseason the team needed improvement and the Yankees managed to acquire Josh Donaldson and Isiah-Kiner-Falefa via trade and re-signed Anthony Rizzo. 

Those moves haven’t paid off thus far and now fans are split:

Half the fanbase thinks the Yankees’ lackluster offense is bad luck, while the rest chalks the .500 start to a mediocre roster. This is what happens when analytics are abused in baseball. No one knows who to blame or who’s deserving of credit.

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New York Yankees' Aaron Hicks watches his two-run home run during the second inning of the team's baseball game against the Toronto Blue Jays on Tuesday, April 12, 2022, in New York.  (AP Photo/Frank Franklin II)

After 10 games, the Yankees are averaging a measly three runs per game. That’s not going to get it done, even while the pitching staff dominates. Many Yankees fans believe manager Aaron Boone’s unwillingness to stick to one lineup has caused some of the inconsistencies we’ve seen. 

That may be true, but another stag is that the best players either don’t play or slot in unexplainable locations in their lineup. There’s just no rhyme or reason for certain players to be hitting where they are.

The most consistent offensive talent the Yankees had since 2017, DJ LeMahieu, slid down to fifth in a struggling offensive unit? Analytics did that. The geeks in that front office showed Aaron Boone a graph that proves using some obscure formula that