Because some on here bum XG (1 Viewer)

shmmeee

Well-Known Member
Who's providing the software for these xG stats?

Fujitsu?

There’s a reasonable point here actually which is that all the models afaik are proprietary and closed source so we can’t critique them other than the final output.

I reckon with modern vision processing software you could feed a game in and get what you need to build an open xG model. Not sure how copyright would work though. 🤔
 

Tomh111

Well-Known Member
There’s a reasonable point here actually which is that all the models afaik are proprietary and closed source so we can’t critique them other than the final output.

I reckon with modern vision processing software you could feed a game in and get what you need to build an open xG model. Not sure how copyright would work though.
I don't think the copyright would be the issue per se, because you would develop your own algorithm/model so would own that.

The interesting part is who owns the data, I.e. does it belong to the players, the club, the broadcaster etc.

I think there is even a legal case at the minute with a former player arguing that all his training data etc belongs to him and he should be paid for it.

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JAM See

Well-Known Member
There’s a reasonable point here actually which is that all the models afaik are proprietary and closed source so we can’t critique them other than the final output.

I reckon with modern vision processing software you could feed a game in and get what you need to build an open xG model. Not sure how copyright would work though. 🤔
Where would Simms's attempt that went out for a throw in sit in xG?

It was at the other end obviously, but it looked a decent chance to me from over 100 metres away.

It's the algorithm/state machine that I'd like access to.
 

shmmeee

Well-Known Member
I don't think the copyright would be the issue per se, because you would develop your own algorithm/model so would own that.

The interesting part is who owns the data, I.e. does it belong to the players, the club, the broadcaster etc.

I think there is even a legal case at the minute with a former player arguing that all his training data etc belongs to him and he should be paid for it.

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Used to be with sports stats that the person collecting the data owned it, not sure about now. But does your licence for watching iFollow include extracting data? What’s the difference between a machine vision algo and Statto with a notepad? I suspect it would go to court cos everyone wants a piece of the pie. Cant imagine legally getting access to every game would be cheap. Some kind of app you could run on your PC while watching a stream that collected data would be amazing.
 

Mucca Mad Boys

Well-Known Member
Where would Simms's attempt that went out for a throw in sit in xG?

It was at the other end obviously, but it looked a decent chance to me from over 100 metres away.

It's the algorithm/state machine that I'd like access to.
Likewise, Sheff Wednesday’s xG would be skewed by their goal. It was a goal mouth scramble where 2 close range shots were saved/blocked before the goal.

Aside from that, they didn’t really create much. Neither did we - it was a pretty scrappy away win.
 

stupot07

Well-Known Member
Likewise, Sheff Wednesday’s xG would be skewed by their goal. It was a goal mouth scramble where 2 close range shots were saved/blocked before the goal.

Aside from that, they didn’t really create much. Neither did we - it was a pretty scrappy away win.
If you scroll through this it shows the xG For all the shots

Our highest was Ben Sheafs second, 0.29 xG, our next highest was the Godden shot in the 76 minute which was 0.10 xG

For them they had

Liam Palmer 52 minute 0.18 xG
Ugbo 68 minute 0.11 xG
Windass 68 minute 0.23 xG
Musaba 68 minute o.56 xG
Cadamateri 72 minute 0.11 xG
Wilks 89 minutes 0.29 xG


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Frostie

Well-Known Member
If you scroll through this it shows the xG For all the shots

Our highest was Ben Sheafs second, 0.29 xG, our next highest was the Godden shot in the 76 minute which was 0.10 xG

For them they had

Liam Palmer 52 minute 0.18 xG
Ugbo 68 minute 0.11 xG
Windass 68 minute 0.23 xG
Musaba 68 minute o.56 xG
Cadamateri 72 minute 0.11 xG
Wilks 89 minutes 0.29 xG


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Yeah it's great to look at but the thing to remember with this is it's just presenting you the raw data for individual shots (and not particularly reliable). To do a proper analysis on it you would need to apply some context.

For example, a proper xG model shouldn't count the Ugbo & Musaba shots. As they are in the same passage of play as the Windass goal it's not possible for all 3 to be scored.
 

Calista

Well-Known Member
Does xG take account of incidents such as the ball across the box that Godden missed by a whisker? He didn't get a toe to it so does it count for nothing? You could ask the same about all dangerous crosses / moves that don't quite result in a goal attempt. They might come far closer to scoring than a tame effort from an unlikely position that has an xG attached to it.
 

Tomh111

Well-Known Member
Does xG take account of incidents such as the ball across the box that Godden missed by a whisker? He didn't get a toe to it so does it count for nothing? You could ask the same about all dangerous crosses / moves that don't quite result in a goal attempt. They might come far closer to scoring than a tame effort from an unlikely position that has an xG attached to it.
No, it doesn't, which is why it's now being surpassed - it's considered the more basic of the advanced metrics.

You can now look at expected threat etc which would involve things like that.

For example, Southampton dominated the ball for large parts against us but offered zero threat outside of their goal. While we played without the ball and arguably offered more goal threat with it - so you can look at metrics on this.



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Nuskyblue

Well-Known Member
No, it doesn't, which is why it's now being surpassed - it's considered the more basic of the advanced metrics.

You can now look at expected threat etc which would involve things like that.

For example, Southampton dominated the ball for large parts against us but offered zero threat outside of their goal. While we played without the ball and arguably offered more goal threat with it - so you can look at metrics on this.



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field tilt, is that a thing? I'm sure I saw sometihng about this a few years ago.
 

Tomh111

Well-Known Member
field tilt, is that a thing? I'm sure I saw sometihng about this a few years ago.
To an extent, field tilt is generally the % share of the match you spend in the opposite half - but it's that kind of thing.

We can also look at things like xA (expected assist) as a measure of final ball quality or attacking inputous.

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Mucca Mad Boys

Well-Known Member
If you scroll through this it shows the xG For all the shots

Our highest was Ben Sheafs second, 0.29 xG, our next highest was the Godden shot in the 76 minute which was 0.10 xG

For them they had

Liam Palmer 52 minute 0.18 xG
Ugbo 68 minute 0.11 xG
Windass 68 minute 0.23 xG
Musaba 68 minute o.56 xG
Cadamateri 72 minute 0.11 xG
Wilks 89 minutes 0.29 xG


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A pretty even game than when all said and done. 0.9 xG for that one goal boosts that metric.

It is interesting that the xG shows we sat back after their goal.

Does xG take account of incidents such as the ball across the box that Godden missed by a whisker? He didn't get a toe to it so does it count for nothing? You could ask the same about all dangerous crosses / moves that don't quite result in a goal attempt. They might come far closer to scoring than a tame effort from an unlikely position that has an xG attached to it.

xG doesn’t but there’s a metric called ‘expected threat’ xT which does measure this.

That does account for when teams are creating opportunities but don’t get shots off.
 
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Robinshio

Well-Known Member
xG ignores the quality of strikers - eg Harry Kane v Ellis simms - XG could be the same, but we know who will score more
 

Tomh111

Well-Known Member
xG ignores the quality of strikers - eg Harry Kane v Ellis simms - XG could be the same, but we know who will score more
Incorrect.

All players with the exception of Messi have regressed to the mean or advanced to the mean across the top 5 leagues - meaning xG remains accurate and largely there's little difference in finishing quality across the board.

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Calista

Well-Known Member
Incorrect.

All players with the exception of Messi have regressed to the mean or advanced to the mean across the top 5 leagues - meaning xG remains accurate and largely there's little difference in finishing quality across the board.
? Are you saying that given a particular scoring opportunity, all players would be equally likely to stick it in the back of the net?
 

Skybluedownunder

Well-Known Member
I can’t for the life of me understand why people actively dislike advanced stats like xg.

At this point I automatically assume it’s an intelligence issue.

Seeming as people on here like making little singy songs…

Here’s one for the choir boys…

You can stick your fucking XG up your arse,
You can stick your fucking XG up your arse,
You can stick your fucking XG,
Stick your fucking XG,
Stick your fucking XG up your arse


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fernandopartridge

Well-Known Member
Seeming as people on here like making little singy songs…

Here’s one for the choir boys…

You can stick your fucking XG up your arse,
You can stick your fucking XG up your arse,
You can stick your fucking XG,
Stick your fucking XG,
Stick your fucking XG up your arse


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Who are you singing that to?

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Philosoraptor

Well-Known Member

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