I'm not sure that our analytics people have identified a secret sauce in the sense that they have 'new' or 'different' data. I think it is more likely that they are looking at the same data as everyone else, comparing it to eye tests of our actual games and concluding that the data isn't accurately measuring what we are doing. I don't think you need a different xG formula to know that Robert Thomas sets up a ludicrous amount of tap in goals, but does so at the expense of passing up some shots that he takes. We have a lot of highly skilled playmakers and there is a clear coaching directive to think pass-first. Tarasenko doesn't have the same shot that he used to, but last season was his best passing season by a long shot.
Maybe this directive is something from the analytics department, but I'd guess it is more likely from the eye test group saying "I don't give a damn that the analytics say we aren't generating enough chances. My eyes are telling me that we aren't scoring lucky goals."
I could be 100% incorrect because at the end of the day it is pure speculation.
Yeah, I think it's a blend of both. Analytics are likely being used as supportive evidence for certain tweaks we've made that also incorporate the more old-school approach. Teams simply can't replicate a focus on successful passes to the slot because if you don't have a playmaker like Thomas, then you aren't going to be able replicate it. I imagine we are using a combo of eye test and analytics to dictate certain aspects of a system or how players get deployed.
From the past, we were told when Backes played more wing at the end of his time here, it was because the analytics showed we'd benefit more from him causing turnovers as a winger on the forecheck as opposed to playing the more traditional center role during a forecheck. I imagine a combo of eye test and analytics drove the decision to play Parayko in the shutdown role and let Petro play the more hybrid role, and that also played a role in the Krug/Faulk pairing getting even more offensive minutes.
We've seen some clubs that people would say are heavy analytics and get praise for being cutting edge, but really they were just slaves to numbers. Being analytical is simply gathering as much data as you can and reporting on it in meaningful ways and then determining how it can be applied.
Intuitively it seems difficult to measure "tap-in chances generated." But if that were a stat it feels like the Blues would be leaders in it. Might account for what appears to be an unsustainable scoring rate to current models.
I think he also had a tweet around the similar time that had it for the players, and Thomas dominated in this area.
Here's the assists off of high danger passes, but want to find the one for completed high danger passes to see where Thomas ranked.