Andrés Muñoz Is an Analytical Blind Spot

If you are familiar with Andrés Muñoz, the baseball player, you may know that he is good. It may be enough for you to simply witness and bask in his elite performance, and question it no further. (Rarely are we so content here.) You may not realize he is unusual; you may not care. Often in baseball, being good and being unusual go hand in hand. This is a short exploration, albeit one preceded by an exorbitantly long prologue, of why Muñoz is good and unusual.
If you are familiar with FanGraphs, the baseball website, you may know about approach angles. If not: A pitch’s approach angle is the three-dimensional angle at which it crosses the front of home plate. Broken down into its two-dimensional vectors, it becomes vertical approach angle (VAA) and horizontal approach angle (HAA).
VAA is a description of pitch shape and thus depends on other physical attributes of the pitch — namely, its velocity and acceleration in all three dimensions. While representing the most distilled measurements of a pitch’s movement through space, the velocity and acceleration vectors themselves are functions of release height, release angle, release speed, spin rate, spin axis, spin efficiency… it goes on. VAA, as it happens, is very sensitive to pitch height. Reporting a pitch’s average VAA is not especially meaningful without either providing locational context or stripping it of that context all together.
To accomplish the latter, I developed VAA Above Average. It’s a simple recalculation that communicates a fastball’s flatness or steepness irrespective of pitch height. Through this it’s much easier to see that, for example, flatter VAAs induce higher swinging strike rates (SwStr%) at all pitch heights compared to steeper VAAs (forgive the half-baked visualization):