More the quality of the shot opportunity afforded the opposition. I imagine it’s incredibly hard to asses but put it this way; If 2 keepers face 100 shots each but keeper A’s shots are all from 5 yards wilts keeper B’s are from 20 then the stats are going to be skewed because of the relative ease of scoring from 5 yards as opposed to 20.
Ya get me, blud?
I do get you, but that is exactly the sort of thing that xg measures.
Some of these models will even go down to post-shot even - level of pressure on the ball, right or wrong foot, etc.
However, this model is purely distance / angle, so it’s not just a case of a shot on target = a goal he should have conceded, it is a metric for shots that would usually be saved over the course of the season vs shots that generally would go in over the course of the season.
Here’s a short explanation on his xg model : https://differentgame.wordpress.com/2014/05/19/a-shooting-model-an-expglanation-and-application/
Does anything in particular stand out to you as untrue, or not matching your eye?
There’s nothing to be worried about in this table I don’t think, he’s been below par this season, and we’ve been allowing too many shots against him from too good a position through the year.
If he continues that over a few years, or gets worse, or we reduce the xg against him but he continues to concede from soft areas - we can respond accordingly.