As the season ticks on, we're starting to get a bit of data to work with, albeit sometimes in small samples. This season I am not working with a relatively complex player model but am really interested in trying to "play the fixtures" as much as I can. A couple of sources of frustration, therefore, have been as below: 1. Sites which provide the difficulty of fixtures often seem a bit simplistic. For example, the Premier League site shows Wolves as an average "3-rated" opponent, both at home and away yet the reality is more complicated. While at home they have been very solid defensively, with an Expected Goals Conceded (xGC) of just 4.71 in five games, which ranks third best, yet on their travels they have surrendered 7.94 xGC, which is the third worst . Even more confusing is that most sites ( though not all ) don't distinguish between attacking and defensive fixtures, so facing Leeds at home is presented as an easy "2-rated" fixture when in reali
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Me again, I just wanted to ask you what is the most effective way of using the CS rankings. Do you think the regressed CS rankings are more accurate, or do you think the raw projections provide more information?
I did a transfer of Wilkinson to Hughes to avoid the 0.1 drop and I'm hoping that it wasn't a silly move, especially since Stoke are projected to "most likely" have a CS.