To understand what matters to players’ performance, we need to study those at the top. We need to measure all of the little minute things that make a difference to pros and thus might also make a difference to amateurs. But logistical timelines are always at play: product cycles, research windows, player availability. Getting results quickly is really important.
With amateurs, there’s a lot more variability from one performance to the next. So in order to detect whether a particular intervention works – a change in their equipment or in their biomechanics or whatever – that’s a lot trickier when performances vary by a lot. When drawing conclusions, there's much more of an element of educated guesses at play.
Whereas with pros, because the performances are so consistent, when you make a change and you see that create a small change in their performance, you can be much more confident that whatever you're doing to impact their performance is actually having an impact. And then that can drive decisions around product design, training regimens, things like that.