Leemos el fútbol a través de los datos desde 2017.
Cuando la football analytics todavía era un nicho, nosotros ya la publicábamos. Aquí nuestros data scientists comparten métricas originales como Gegenpressing Intensity y AERO, previas de las ligas, informes de scouting y los estudios de validación detrás de XSEED: la historia de la football intelligence, contada mientras sucedía.
Harry Kane, ganador del Ballon d'Or 2026: por qué los datos indican que nadie definió mejor
Harry Kane ganó el Ballon d'Or 2026: 73 goles en 65 partidos. Según SICS Atlas y xValue, nadie en Europa definió mejor.
Los excluidos del Ballon d'Or 2026: Doué, Raphinha y Enzo Fernández bajo la lupa de xValue
Doué, Raphinha y Enzo Fernández quedaron fuera del Ballon d'Or 2026. Los datos de xValue de Soccerment muestran quién lo merecía.
Presentamos xValue
Soccerment Research presenta xValue, un modelo que valora cada acción con balón por cómo cambia las probabilidades de marcar y encajar de un equipo.
Una lectura de la temporada 2025/26 a través de xPoints
Las cinco ligas nacionales más importantes del fútbol europeo ya han concluido.
AERO: a new aerial skill metric
In this blog post, we introduce our new Aerial Elo Rating Optimization (AERO) index, a new metric focused on aerial skill. Aerial skill metrics and the case for an Elo rating Aerial duels can be a key event in football on both ends of the pitch, and the relative skill between defenders and forwards in […]
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 […]
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 […]
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 […]
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 […]
