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.
Player salaries in the Italian Serie A (2018/19)
We analysed the contractual details of all the 548 players of the Italian Serie A (‘ISA’) and then aggregated the data by team, by role, by country and by age. The average salary per player, net of taxes, is €1m per year. The top-earner is Juventus’s Cristiano Ronaldo, €31m per year, costing more than the […]
The non-correlation between physical efforts and football performances
The stats of ‘Russia 2018’ confirmed the absence of any meaningful correlation between physical efforts and football performances. The overall outcome is in line with the available literature, although more clearly than widely perceived, in our view. Our main takeaway is the confirmation of the validity of ball-based training sessions, key to master football. By the way, […]
