On September 30, Chad Tracy, manager of the Boston Red Sox, faced significant scrutiny for his decision to remove Sonny Gray from the mound. This decision happened during the crucial final game against the New York Yankees in the American League wild-card series. Despite analytics suggesting Gray should have continued pitching, Tracy decided otherwise.
Game Day Choices
As the game unfolded, Gray was taken out in the fifth inning. The Red Sox were trailing 1-0, with Gray having successfully navigated the Yankees lineup twice. The replacement, left-handed Erik Miller, saw immediate action from Cody Bellinger, who delivered a run-scoring single, extending the Yankees’ lead to 2-0.
The Role of Analytics
In modern baseball, analytics provide a substantial foundation for decision-making. Typically, such data would support leaving a pitcher like Gray, known for effective curveballs and sinkers, especially against a hitter he had previously outmatched. His third-time-through xwOBA was recorded at .231, the best of his pitching cycles.
“We’re trailing. We’re struggling to score runs,” Tracy expressed post-game, explaining his choices. “And when you get in spots where you’re struggling to score runs and you’re already trailing, you feel like you’ve got to be aggressive and go.”
Tracy admitted to favoring instinct over analytics, a decision that drew criticism from analysts and highlighted misunderstandings about the roles of data in the sport.
Misplaced Blame on Analytics
Despite headlines accusing Tracy of over-relying on data, a closer look shows an underuse rather than an excess. Much criticism arose surrounding the perceived influence of Driveline, an external consultancy on R&D for the Red Sox, which ceased earlier this year. However, the decision to remove Gray suggests a departure from data-driven strategies when they were crucial.
In the wider context of baseball, balancing data with intuition remains a complex challenge for managers, with this decision by Tracy becoming a focal point in analyzing these dynamics.

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