Hydration breaks and momentum shifts

55:18>> Boo! >> are like >> Boo! >> They're showing that the match hydration breaks change the momentum. Right? And this is from the I think this is the Curaçao versus Germany game. They're showing that like Curaçao was just getting going, and then and then the match hydration break happened. Um I don't know what's the best way to sort of quantifiably measure this difference, right? Because like you'd have to compare with all the games you'd have to make the same kind of data analytics, but then also like at any given moment match momentum shifts, right? So, how do we make the

55:58judgment that it only shifted during the hydration breaks? Um, and it could shift either way, right? It could shift to being more of Germany or more of Curacao and things like that. So, you can't really only look at um, look at like the match momentum switching as an effect because it could mean that like it made the momentum even bigger for one side or the other. I don't I don't really know and if if people have ideas for how to do data analytics to like do an AB testing of this kind of thing. One idea I had was to look at the time constant of how quickly the match momentum is shifting in either direction. So, now you're agnostic to which direction the match momentum is shifting and you're looking for the the the timing of the squiggles.

56:41And if this is true, what you would see is that the time constant of the shift should be shorter >> Yeah. >> during the hydration breaks than it should be during normal game play. >> Right. >> Right? Or during like the same 22 minutes for a match that didn't have match momentum. That's sort of like a first pass at how I would do the data analytics here if I was given this thing. I mean, the the problem there is there is also already an inherent time constant in how they're measuring it, right? I can't go slower than a minute or like 5 minutes depending on how they smooth this thing. >> Yeah. >> So, it's a tough question. The eye test