xG Chain: the most important thing is to participate

Category: Player Analysis

How can we know if a player has influence on all possessions that end in a shot? We take a closer look at 'xG Chain'.

Published:12/01/2022

In its desire to measure a game as random as football, advanced statistics tries to be as deep as possible in all the game situations we can imagine. The spirit of many of the metrics created for this purpose is based on giving value to those players who are part of something much bigger, such as the creation of a goal scoring chance. This is the case of the Expected Goals Chain (xG Chain).

This metric is defined by the number of Expected Goals in which a player has participated; if the player has participated in a play that ends in a shot, the xG of the play will be added to this metric. In this way, we give value to players who are often part of passing sequences that end in a shot. In a specific play we might think that his importance is far from what happens later if his action is a five-metre horizontal pass, but when we extend these actions over time, in the long term, if the player is involved in numerous actions that end in a shot, his relevance within the team will be justified and well valued by the metric in question.

If the player is an attacker who is involved in many moves, he will have a lot of xG Chain, hence it is one of the metrics included in the striker radar, but this reaches an extra value for wingers or attacking midfielders with an incidence in the construction of moves ending in a shot. A good way to summarise this metric is to define it as the possessions that end in a shot that pass through the boots of the player in question, whether the possession is four passes or more than 20.

In this graph, the winger in Europe’s top five leagues with the highest share of expected goals per 90′, at 1.3, is Germany’s Leroy Sané.

Here we see, in our ‘Possessions‘ feature, a possession started by Gabriel Jesus, which ends in a shot. The play passes through the boots of De Bruyne, then Cancelo, then De Bruyne again and ends with a goal by Phil Foden.

According to our Expected Goals (xG) model, Phil Foden’s goal at 15:52 minutes had a value of 0.37 xG, which will be added to Gabriel Jesus’ xG Chain. The higher the player’s xG value per 90 minutes, the more goals the player has previously been involved in.

We are Driblab, a consultancy specialized in the statistical analysis of players and teams; our work is focused on advising and minimizing risk in professional football decision-making in areas related to talent detection and footballer evaluations. Our database has more than 180,000 players from more than 180 competitions, covering information from all over the world. Here you can learn more about how we work and what we offer.

Autor: Alejandro Arroyo
For Player Analysis we also recommend you:

Vitor Roque, the great genius of the Copa Libertadores 2022

We analyse the first steps of the very young talent Vitor Roque, category 2005, who has shone in the Copa Libertadores 2022.

UEFA Champions League 22/23: seven players to keep an eye on

We highlight seven players with the potential to surprise in the UEFA Champions League 2022/23.

Brasileirao U-20: Brazil’s future fullbacks

We are looking for the best full-backs from the last Brasileirao U20 2022, which is nearing its end.

Jude Bellingham’s future: where would he best fit in?

We imagine the best possible destination for one of the most sought-after midfielders of the moment: Jude Bellingham.

How much is it worth to make an assist?

Is an actual assist more valuable in measuring the talent of a passer or the model that gives value to the quality of the pass regardless of the outcome?

Benjamin Sesko, where is his ceiling?

We take an in-depth look at one of the most exciting strikers in European football at the age of 19.

The most attacking fullbacks in brazilian football

We used two depth metrics for fullbacks to find the most offensive fullbacks in Brasileirao and Serie B in Brazil.

Serie A 2021/22: i migliori passatori (italian)

Continuiamo la nostra analisi dei migliori passatori attraverso il pericolo che creano con esso, questa volta in Serie A 2021/22.

Liverpool vs Real Madrid: all the data on the Champions League final

We take a closer look at some of the key points of the 2022 Champions League final between Liverpool and Real Madrid.

Finding the differences: showing Nkunku’s progression

We show with event maps the evolution of Christopher Nkunku that has led him to more than 30 goals and 20 assists.

Driblab

Información corporativa

Somos una empresa con sede en Madrid fundada en 2017 por Salvador Carmona y Cristian Coré Ramiro. Desde nuestros inicios nuestro trabajo se ha centrado en el análisis estadístico de datos para ayudar a los clubes en la planificación deportiva. Somos una consultora big data que ofrece servicios personalizados para cada cliente y defiende un modelo de gestión mixto y una comunicación constante para acompañar el día a día de las instituciones. Nuestro punto fuerte es la más amplia cobertura disponible en número de torneos profesionales y juveniles. Para más detalles, póngase en contacto con nosotros.

Colaboramos con:

           

Hemos aparecido en:


Talk to our speciali