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.
Soccerment is Official Data Partner of Soccerex Miami 2023
Soccerment is excited to announce its partnership as the official Data Analytics Partners for Soccerex Miami. Through this partnership, Soccerment will showcase its AI solutions to a global audience, while attendees will gain exclusive access to the platform, offering unparalleled insights into football performance data. Moreover, after having participated in a series of noteworthy events, […]
Unlocking the Power of Data: Soccerment’s Pilot Project with Dinamo Tbilisi
🇮🇹 La versione italiana dell’articolo è disponibile in fondo. As the official SportsTech partners of the Youth Cup, we embarked on an exciting journey to engage with the U16 squad for Dinamo Tbilisi, fostering a productive collaboration through our Pilot Project. Our technology, XSEED, played a pivotal role by equipping players with smart shin guards, […]
One-twos: a new metric for associative ball progression and chance creation
Ball progression and chance creation are key phases of play in football, which can be achieved in several ways. In this article, we introduce a new metric which quantifies a specific mode of associative ball progression and chance creation: one-twos. We describe our empirical definition of one-two in event data and characterize the resulting data […]
Introducing Gegenpressing Intensity (GPI)
Gegenpressing, or counterpressing, is now a well-established strategy in many possession-based teams. To capture this aspect of the game, we introduce a new metric, called Gegenpressing Intensity (GPI), which measures the fraction of times a team immediately attempts to regain the ball after losing possession in attacking areas, rather than falling back. We find that […]
Midseason reviews 2022/23: Serie A
A stellar start to the season has seen Napoli gain an edge over the rest of the field. Our advanced metrics show that the top spot is well deserved, while Roma are the side with the largest underperformance compared to Expected Points. The two sides show the largest improvement in xG difference compared to 2021/22, […]
Shot quality and results in football
We investigate the link between shot quality, as measured by the team average xG per shot, and both results (in terms of wins) and performance (measured with our Expected Points model), for the top 5 European leagues. We find a strong link between xG per shot difference (xG per shot minus xG per shot conceded, […]
The Very Exclusive xOVA Club
We introduced Expected Offensive Value Added, or ‘xOVA’, to facilitate scouting for creative and skilled players, who are able to have a great impact in the final third of the pitch. Therefore, forwards, wingers and attacking midfielders top our xOVA charts. For example, in our database, the highest seasonal xOVA (22.27) was produced by Lionel […]
Measuring pressing success: Buildup Disruption Percentage (BDP)
Pressing is a fundamental part of many teams’ game plan in modern football. At the same time, it is difficult to measure it accurately using event data. While PPDA is certainly a very useful metric, in our view it would be advisable to complement it with different, indirect measurements of how teams are able to […]
Data-driven scouting for Newcastle
After the takeover from PIF, Newcastle United was set to become one of the main players in January’s transfer market. This has indeed been the case, with the Magpies already completing two important signings. In this piece, we use our extensive dataset to scout for interesting players in the positions where Newcastle seems to be […]
Soccerment's Expected Points model
Expected Goals (xG) models allow us to quantify the chance quality of individual shots. This gives us the chance to quantify the probability of a team winning, losing or drawing the match, based on the two team’s total xG during the match. In turn, this can be translated into an expectation value for points gained […]
Midseason reviews 2021/22: Serie A
According to our advanced metrics, Inter Milan are performing better under Inzaghi than they did under Conte last year, when the Nerazzurri won their 19th Scudetto. Whilst AC Milan have been reaping more points than expected based on the scoring chances they created, Juventus accumulated fewer points than they deserved, according to our xPts model: […]
Expected Threat
One of the cornerstones of measuring offensive contributions in football is based on a very simple fact: the likelihood of scoring a goal in the next few actions depends heavily on the distance to goal at any given moment. It follows, therefore, that the most valuable actions, besides those directly related to scoring such as […]
