Overview
Baseball analytics refers to the scientific analysis of player performance, tactical effectiveness, and roster optimization using statistical data and tracking technology. With the spread of sabermetrics and advances in tracking systems, data analysis has permeated every aspect of modern professional baseball operations. The history of analytics in NPB traces back to Katsuya Nomura's 'ID Baseball' in the 1990s, which systematized data-driven pitch-calling and batter analysis, establishing a culture of data utilization in Japanese baseball. From the 2000s, influenced by MLB's Moneyball revolution, advanced metrics such as OPS, WAR, and FIP gained widespread adoption in NPB. Recent years have seen the introduction of tracking systems (TrackMan, Hawk-Eye) that capture previously unmeasurable data: pitch spin rate and axis, exit velocity and launch angle, and defensive range. Clubs have established analytics departments that produce pre-game scouting reports, provide real-time in-game analysis, and design player development programs. However, over-reliance on data risks marginalizing player instinct and experience, and balancing analytics with on-field feel remains a defining challenge of contemporary baseball.