Is the Kirby Index the Future of Pitching Metrics or Just Another Flawed Attempt? 

The recent discussion surrounding the Kirby Index has sparked a fascinating debate about how we measure pitcher command in baseball. With George Kirby's performance fluctuating right after the introduction of this metric, it raises some intriguing questions about the reliability of our current methods.

Is the Kirby Index a breakthrough in understanding pitcher command, or does it merely scratch the surface of a much deeper issue? The fact that some pitchers, like Miles Mikolas, can maintain low walk rates yet rank poorly in the Kirby Index suggests that our metrics might be missing critical nuances.

What alternatives do you think could provide a more accurate picture of a pitcher's command? With new technologies like computer vision and advanced tracking systems emerging, are we on the brink of a revolution in how we analyze pitching?

Moreover, how do you feel about the reliance on machine learning in these metrics? Does it enhance our understanding, or does it risk oversimplifying the complexities of pitching mechanics?

Let’s dive into this! Share your thoughts on the Kirby Index, your experiences with pitcher analysis, and any bold predictions you have for the future of pitching metrics in baseball.