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Baseball Analytics is a field focused on utilizing statistical analysis and modeling to better understand and optimize the game of baseball at all levels, including Major League Baseball. This area of study involves analyzing data related to player performance, team strategy, and game outcomes in order to identify trends, patterns, and insights that can inform decision-making both on and off the field. Within the broader context of Sports/Major League Baseball/Sports Baseball History/Baseball Research, Baseball Analytics represents a more quantitative approach to understanding the game. While baseball research may involve historical analysis, oral histories, or other qualitative methods, baseball analytics is specifically concerned with using data and mathematical models to gain insights into the game. Topics within baseball analytics might include player evaluation metrics such as WAR (Wins Above Replacement), pitch framing, or exit velocity; team strategy topics such as launch angles, shifts, or bullpen usage; or broader issues related to league trends, competitive balance, or player development. Overall, the goal of baseball analytics is to provide a more evidence-based understanding of the game, helping teams and players make informed decisions that can lead to improved performance on the field.