A Dynamic Systems Approach to Improving Performance & Resiliency in the Overhead Throwing Athlete
Just wanted to point out that there may be a typo/error on the Clayton Kershaw slide... both axis are labelled the same. Also, the scale of the Kershaw slide is different than the Strasburg slide, making it difficult for the viewer to compare.
Thanks for the comment and good eye! The graphs were taken from Fangraphs and are by no means a perfect fit. There are a number of drawbacks, including the 2D nature AND the inconsistent scaling in this particular case, but the key concept still remains. Increase end-point coordinative variability may be an indicator of an unhealthy system.
The scaling between the Kershaw and Strasburg graphs aren't completely accurate. Having said, that, the graphs are meant to emphasize the concept of end point coordinative variability, not show concrete proof on the theory!
Then you really do not have enough information to make a specific comparison between two pitchers, just an abstract one. It is impossible to tell from the graphs if Strasburg's release point is more variable than Kershaw's because of the difference in scale.
I don't mean to be overly harsh -- I liked the presentation quite a bit and love the idea of applying dynamic systems theory to baseball. But I found this section distracting since it makes claims (i.e. "extreme" variability in Strasburg's release point) that are not substantiated by the data provided.
Thanks for the comment.
The graphs that you are referring to are meant to provide an idea for discussion, not a conclusive statement on end-point variability. Even to scale, they are by no means evidence for anything, but rather a talking point. Our apologies if it came off as 'this is a fact' rather than 'this is a hypothesis' and hopefully didn't distract you enough from investigating the principles mentioned throughout the rest of the presentation.
Fantastic presentation. Thanks for sharing!