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Area of Science:

  • Sports Science
  • Data Analytics
  • Biomechanics

Background:

  • Baseball is increasingly reliant on data analysis.
  • Sabermetrics has revolutionized player evaluation.
  • Historical context of data integration in baseball.

Purpose of the Study:

  • Review the evolution of big data in baseball.
  • Examine current data collection and analysis methods.
  • Explore future trends and emerging technologies.

Main Methods:

  • Review of historical data and literature.
  • Analysis of current machine learning and AI applications.
  • Investigation of motion analysis and wearable technology.

Main Results:

  • Machine learning (ML) and artificial intelligence (AI) show potential in performance prediction and injury prevention.
  • The Health Injury Tracking System (HITS) aids in understanding injury epidemiology.
  • Wearable tech enables prospective kinematic data collection for improved pitching mechanics.

Conclusions:

  • Data analytics continues to transform baseball.
  • Future research holds promise for further advancements.
  • Integration of technology enhances player performance and safety.