Chad Tracy’s Decision to Remove Sonny Gray Raises Questions

The decision by Boston Red Sox manager Chad Tracy to bench pitcher Sonny Gray in the final game of the season has stirred significant discussion. Publicly available analytics suggested Gray should remain in play. Still, Tracy chose to remove him, leading to questions throughout Boston and beyond, especially following the Yankees’ sweep in the American League wild-card series.

During the fifth inning of Game 2, with two outs and two runners on base, Tracy decided to pull Gray, attempting to maintain Boston’s 1-0 deficit. Erik Miller, a left-handed reliever, was brought in, but Cody Bellinger quickly singled, extending the Yankees’ lead to 2-0.

Analytics in baseball involves using quantitative data for strategic decision-making by managers and executives. Despite this, the data did not back the decision to remove Gray. The Yankees had their lineup poised to face Gray for the third time at a crucial moment. Instead of sticking with Gray, Tracy decided to switch pitchers.

A notable insight is Gray’s 2026 performance, indicating he was at his best during the third time through an order with an xwOBA of .231, outperforming both his initial rounds.

Tracy’s preference contradicted the analytical advice, which typically would advocate continuing with a starter under Gray’s statistical conditions. Gray’s effectiveness was evident earlier in the season when his pitches to Bellinger resulted in multiple misses and a foul tip.

Chad Tracy explained, “We’re trailing. We’re struggling to score runs. 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.” It becomes clear that his decision was based on intuition rather than statistics.

Despite accusations of over-reliance on analytics, some media attributed this decision to too much influence from Driveline, which had previously collaborated with the Red Sox on certain initiatives. If anything, the team did not utilize analytical insights sufficiently.

The game highlighted the complexities of decision-making in sports, where relying solely on data or instinct can have pivotal outcomes.