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Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects

Takamido, Ryota et al.
arXiv (All) · Papers
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artificial-intelligencej-3machine-learning
Although pitch sequencing is a central topic in baseball analytics, previous studies have primarily focused on improving predictive performance for the final pitch or its outcome, leaving the role of preceding pitches insufficiently examined. To address this issue, this study conducted a machine lea
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