Data obtained through Sofascore, processed with Pandas and plotted with Matplotlib. Correlation measured with Kendall Tau. Code here: https://github.com/jojusuar/sofascore-explorer

Some insights based on variance across the leagues:

• Having your opponent yellow carded is much more negatively related to standings in the Bundesliga than in other leagues.

• Last man tackles are much more positively related to standings in the Bundesliga, may mean that the league suits high-line defenses better.

• Errors leading to receiving a shot are considerably more positively related to standings in the Bundesliga and the Serie A than in other leagues, further reinforcing the idea that risky high-line teams thrive in the Bundesliga.

• Dribble attempts relation to standings is lowest in the League 1 compared to other leagues, but it’s still marginally positive.

• Penalties taken are least related to standings in the Premier League than other leagues, and most positively related in the Bundesliga.

• Domination-based stats (opposition half passes, possession, total passes, etc) have the highest positive relationship with standings in the Serie A than in any other league.

• The amount of duels by team (and particularly aerial duels) is negatively related to standings consistently across all leagues.

• Ball possession is very positively related to standings across all leagues.