Loads of things impact the real chance of scoring a goal from any strike on goal. xG only considers some of them.Yes, but there's no difference between whether the ball contacts an outstretched toe nail or whether player lashes it through his instep. It just registers "right foot". Obviously this is a huge difference in reality.
Again height of the ball makes a big difference. Maja's chance was a really difficult height which isn't taken into consideration.
Going back to Lath's chance against Sunderland which registered at 0.48. The ball was again at quite an awkward height for Latte and he was off balance and at full stretch (partly down to his first touch, but xG doesn't account for that either). There's no way that was a 1 in 2 chance, or a considerably easier chance than McGree's last night.
I think there's a lot of holes in the way xG is calculated.
This is one of the only reasons I use it for. Also for seeing if a player is getting chances.It is also quite good at spotting that a player outscores his xG so is above average. Harry Kane, for example has only failed to beat his xG in 1 season.
Wouldn't disagree with Lath BG. Not looked at Azaz so can't comment.This is one of the only reasons I use it for. Also for seeing if a player is getting chances.
For example, you'll see a lot of people saying Lath is feeding on scraps and he's not really getting chances. Yet the xG doesn't really back that up. He's got a total xG now of 3.0 or NpXg of 2.2 so he is getting some chances.
Azaz also got an xG of 1.9 so it suggests he's getting chances as well. If those players had 4 goals between them like their xG suggests they should have had we'd probably be around 6 points better off.
They only produce data that there is a commercial demand for though so indirectly youtubers and podcasters are definitely to blame. Bloody youtubers.It really wasn't it was invented by Opta the biggest sports stats provider in the industry.
Sports traders, I suspect are the biggest consumers.They only produce data that there is a commercial demand for though so indirectly youtubers and podcasters are definitely to blame. Bloody youtubers.
Is a good example of 1 incident and 1 incident says nothing about the stat more generally.The Maja chance is the perfect example of why xG doesn't work, because the metrics used to calculate the score don't include any "human metrics"...
Distance from goal - He was very close.
Angle to goal - He was pretty central.
Type of assist - The cross was very good.
Body part used to take the shot - Foot (the best body part for that shot).
Whether or not it was considered a "big chance" - It was.
Defensive pressure on shot - There was very little pressure because everyone (including Maja - which isn't taken into account) was too far away.
So on paper, it's the perfect chance which is why it had such a high xG.
It doesn't take into account the distance he was from the ball (too far away), or the contact he was able to make on the ball (minimal), but those type of metrics would be almost impossible to add in.
I think there are some data collection errors in that. The idea that 1 in 15 free headers from 12 yards (lath) would result in a goal seems rediculousApparently
Azaz 0.05
McGree 0.3
Lath 0.05
Doak 0.16
Lath 0.07
Hackney 0.07
Burgzorg 0.09
Whereas Maja's was 0.89!
Or 3 in 10 for McGrees chance from what 9 yards with the keeper on the floor?
BG xG takes into account in order of importance
The distance to goal
The angle to the goal
position of defenders
Which body part the ball was struck with
The assist type
the phase of play
I believe there are a set of variables that are applied to the location the ball is struck. Defenders between ball and goal, what kind of contact header/shot, vicinity of closest player.The problem with xG is the stat doesn't change with the keeper on the floor vs. the keeper in the goal with two CBs either side of him?
The problem you have there is the people who you want to understand that, won't understand that, or they won't acknowledge the reality of it. It's just variance, more tests and more results = more accurate.Is a good example of 1 incident and 1 incident says nothing about the stat more generally.
Yup.I believe there are a set of variables that are applied to the location the ball is struck. Defenders between ball and goal, what kind of contact header/shot, vicinity of closest player.
But when trying to replicate a real world scenario in an equation, it will always have finite levels of fidelity and accuracy.
As always it is far more accurate than shots on target, but it is not absolutely accurate and like any algorithm it’s crap in crap out. If the original data has any inaccuracy in location of shot then that will occur in the final xG, and people make mistakes in data entry all the time. You can miniseries that error, but never eradicate it.
XG is a good guiding tool but needs appropriate interpretation.
This was a close game of few big chances, mana missed a booing opportunity but in reality he couldn’t do more than he did which was get a toe on a ball at an awkward height and watch it go well wide. If he hadn’t got a toe on it it still would have gone wide and the xG for wba would be about 0.6. It wasn’t like mana did flunked the chance or the keeper made a great save. In reality it was nearly a scoring chance, McGree the ball sat there and asked to be spanked into the net he flubed a great chance. None of those details are really represented in the xG
It was pretty much an XG of 3, he should have buried it!McGree's was a good chance but there were a couple of players in front of him and the keeper I think, it was no better than Wallace's imo. Can understand why McGree went for a corner and end up missing it.
It was pretty much an XG of 3, he should have buried it!