What each metric measures, which gap they fill (left by xA and xAG), which players have posted the best build-up numbers this season, and how to pull xGChain/xGBuildup data with Python
This was very interesting, wasn't familiar with this one before reading. I wonder if it would be useful to look at the percentage of a team's buildup that any given player is involved in, alongside the xGBuildup value?
I guess you would need to define buildup properly. Since with xGBuildup we do say buildup but the metric essentially rests on the shot's xG. So maybe you can turn to progressive carries to quantify each player's contribution in that attacking sequence? Interesting question :)
Brilliant stuff 👏🏼👏🏼
More good stuff Martin, thanks!
Thank you, John! 🙏
This was very interesting, wasn't familiar with this one before reading. I wonder if it would be useful to look at the percentage of a team's buildup that any given player is involved in, alongside the xGBuildup value?
Thank you, Dante.
I guess you would need to define buildup properly. Since with xGBuildup we do say buildup but the metric essentially rests on the shot's xG. So maybe you can turn to progressive carries to quantify each player's contribution in that attacking sequence? Interesting question :)
Great breakdown as always, Martin! And love the data tutorial too, super helpful.