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Unlock Insights of AI Advanced Metrics

Metrics Breakdown and Definitions

 

The AI-powered advanced metrics provide a comprehensive analysis of a hitter's performance, accounting for context such as the type of batting—whether hitting off a tee, during BP, or in live play.

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The number of swings establishes sample size reliability, which is essential for robust analysis. Average exit velocity (EV), a critical measure of power, typically averages ~88 mph in MLB, with elite hitters exceeding 95 mph in live play but often achieving higher values in tee or BP scenarios (MLB Statcast). Launch angle (LA), optimal at 10–25 degrees for line drives, highlights trajectory tendencies. EV50, representing the average of the hardest-hit 50% of balls, demonstrates peak potential, often surpassing 95 mph in game conditions.

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Hit classification, including GB/FB ratios—with >1.4 indicating ground-ball leaning, 0.6–1.4 balanced, and <0.6 fly-ball leaning—reveals tendencies in ball contact. Elite line-drive hitters typically aim for a line-drive percentage of ~25–30% (Baseball Savant).

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A sweet spot % of 32–40%, correlating to launch angles between 8–32 degrees, aligns with optimal contact zones and is often more consistent in controlled practice environments. Predictive metrics like xBA, which averages ~.300 for elite hitters, and xwOBA, a league average of ~.320, assess success based on contact quality and potential for extra bases (Statcast).

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EV and LA consistency, illustrated in simplified distribution charts, provide insights into swing stability, while FB/LD EV, averaging ~94 mph in MLB, reflects productive power potential.

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Together, these metrics empower players to diagnose and refine their mechanics, improve consistency, and maximize situational effectiveness.