I lol'd even though, as I said, I have a soft spot for Spurs (mostly because of their contribution to England in recent times, especially HK).
To be fair to the lad, xG is an understandably maligned and complicated concept that I think most fans could use a primer on. Generally, it's presented as this sort of magical black box that spits out these numbers that don't seem like they should be able to exist. On the other hand, if you want to understand how and why xG really works, you have to go balls deep into some non-trivial concepts like weight vectors, linear classification, set training, multiway regression analysis etc.
You don't need to be able to construct your own model from scratch to understand why xG is logically sound and not simply voodoo. At the same time, I don't think many fans understand even the basics needed to apply xG data properly and the limitations of current/theoretical xG models. The biggest problem is pundits and the media etc. (even MOTD now) showing xG data for matches without providing any context or explanation at all (allowing - even encouraging - fans to come to the incorrect conclusion that xG is supposed to determine who should've won a game, which is a concept they're naturally resistant to).
(Sorry for going on a bit of an irrelevant rant, mate! I'm passionate about this subject because xG is hugely interesting and useful and represents the next great evolution in football stats and quantitative analysis, but it's being rejected because fans are suddenly being overexposed to it without even being correctly informed about what it really is -- largely through no fault of their own.)