- October 2, 2026
- Updated 9:05 pm
Red Sox Manager’s Decision Sparks Debate Over Analytics in Baseball
Sonny Gray was in the middle of a crucial game when Boston Red Sox manager Chad Tracy made a controversial decision. Despite data indicating Gray should remain in the game, Tracy chose to pull him out. This raised questions among fans after the New York Yankees swept the Red Sox in the American League wild-card series.
Tracy removed Gray, a seasoned pitcher, with two outs in the fifth inning of Game 2. The Red Sox were aiming to keep their deficit at 1-0, with two runners on base. Left-handed reliever Erik Miller replaced Gray, facing Cody Bellinger, who promptly singled, giving the Yankees a 2-0 lead.
Analytics, which involve using quantitative data for decision-making, have long been integrated into baseball strategies. Typically, data would suggest taking Gray out due to the Yankees turning their lineup over and Bellinger, a left-handed batter, set to face Gray, a right-handed pitcher, for the third time. However, analytics didn’t support Tracy’s decision.
Gray’s performance had been strong up to that point. His curveball and sinker had shown quality throughout the game, supported by advanced Quality of Pitch data. In previous encounters with Bellinger, Gray’s pitches resulted in swinging strikes and a foul. Moreover, Gray’s third-time-through xwOBA was .231, better than during his first two trips through the lineup in 2026, suggesting he should have continued pitching.
Tracy’s choice defied analytics, opting for an aggressive approach due to the team’s struggles to score runs. Tracy expressed after the game, “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.” Although Tracy relied on his instincts, post-game analyses criticized his reliance on analytics, partly due to media reports on Driveline’s influence.
This scenario illustrates that the Red Sox may not have depended enough on data when it mattered most.
For more MLB news, visit Newsweek Sports.
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