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.
2021/22 Premier League Preview
Premier League’s Game 1 didn’t disappoint and seems the perfect appetiser for an exciting season. We are expecting an engaging hunt for the title, with Manchester City, Chelsea and Liverpool as the frontrunners, while Manchester United could fill the fourth UCL spot. Tottenham, Leicester and Arsenal will likely be involved in the fight for European […]
[ITA] – Le statistiche avanzate di Soccerment
Uno degli obiettivi principali dell’analisi dati applicata al calcio è di informare chi prende decisioni strategiche nel modo più oggettivo e imparziale possibile. Poiché il calcio è uno sport con punteggi bassi, dove il risultato è determinato da eventi rari soggetti ad un alto grado di casualità, statistiche come gol e assist sono spesso insufficienti […]
Soccerment's Advanced Metrics
One of the main goals of data analytics in football is to inform performance analysts and other decision-makers in the most objective and unbiased way possible. As football is a low-scoring sport with crucial events that are subject to a high degree of randomness, metrics such as goals scored and assists are often insufficient to […]
