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BBC Alternative League Tables - Data


It all shows that football isn’t played on computers 😂😂

On xG points we should have finished 18th.
Home form we were 8th.
Away form we were 13th.
Goals scored from set pieces 17th.
Goals against from set pieces 10th.
Goals scored from long shots 16th.
Goals against from long shots 14th.
Goals scored by English players 20th.

The last is particularly impressive. A total of 1 (Riggy at Villa) - the lowest in over 100 years.

Final league position - 7th and Europa League. Stick that up your ar*e OPTA 😂😂😂
I was told by a Leeds fan that we were in a false position in the league, this was just before we played and beat them at their place.
I basically told him to pee off as the points don't lie.
He ain't contacted me since 🤣🤣🤣
 
The thing I find funniest about the opposition to XG is that the club are pumping loads of money into the data science infrastructure. It's this kind of statistical analysis that allows us to unearth gems. Yet on here, because people don't understand XG, they boot off about it and call it a load of shit. It's literally the reason we're in the Europa League!
Yes but the club use it to analyse the kind of positions players get into and the like.

They don’t use it to create a new league table by replaying all the games using the XG as the result and ignoring all other metrics about the individual games/teams/players.
 
What XG was given for Brobbeys 1 on 1 which he missed?
Presuming you don’t know..
it is bllx like VAR. made up for someone’s opinion.

What they should be saying is …
Shit they finished 7th with those figures. Imagine if they click more next season 😳

How and why is it “bollox” though?

It baffles me how so many people fail to understand it.
Yes but the club use it to analyse the kind of positions players get into and the like.

They don’t use it to create a new league table by replaying all the games using the XG as the result and ignoring all other metrics about the individual games/teams/players.

I’m not saying they do though.

People on here dismiss the data science and instead say things like “xG is bollocks like ya knar it’s all about tha points and that like aye”

Without realising that it’s data science, that relies on things like xG (including its drivers and derivatives) that have helped us sign great players for cheap.

Roefs for example, I bet you that one of the ways he was identified was though his expected goals conceded, i.e. if the xG of the shots he faced was say 30.8 but his actual goals conceded was 22.4, you’d want to understand why that was.
22.0, you can’t have 0.4 of a goal :lol:
 
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