Seit 2017 lesen wir das Spiel anhand von Daten.
Als Fußballanalytik noch eine Nische war, veröffentlichten wir bereits Analysen. Hier teilen unsere Data Scientists eigens entwickelte Metriken wie Gegenpressing Intensity und AERO, Ligavorschauen, Scouting-Berichte und die Validierungsstudien hinter XSEED: die Geschichte der Football Intelligence, erzählt, während sie entstand.
Ball possession in European football (part 2)
In this second post of our trilogy on ball possession, we expand the analysis we started in the first part, digging into the build-up habits of the top European teams. We propose the ratio of passes on total touches, as an indicator of “good football”. Napoli are topping the tables on this measure. Man City […]
Ball possession in European football (part 1)
This is part one of a trilogy of posts dedicated to the role of ball possession in football. In this post, we look at how ball possession is calculated and how the focus on ball possession is often (not always) a synonym of success. We also start digging into the bidirectional causation problem: do the teams play […]
Crossing: An effective strategy?
Crossing is still very much used by the top European teams (18.6 per match, on average). However, we doubt the efficiency of such an attacking strategy. We calculate that only 1 every 64 crosses is directly translated into a goal. Is it worth trying? We conclude it is not, unless you have someone like Mauro […]
