What are some of the challenges in implementing and interpreting xG data in different footballing contexts and cultures?

xG is a pre-shot model while xGOT is a post-shot model. The Expected Goals on Target model is built on historical on-target shots and includes the original xG ... Dec 21, 2018 ... On Wednesday, I published an article that detailed the most unlikely scorelines in European football over the last 5 years, inspired by the ... Dec 11, 2023 ... In this paper, I delve into the often-overlooked issue of gender-based biases in football analytics. Using the powerful metric of expected goals (xG) and the ... Jan 2, 2023 ... Hi all,. Today we are going to be revisiting some of the content I wrote last year based on expected goals in football, or soccer depending ... Apr 8, 2020 ... The xG metric might seem snooty at first, but football fans have been inadvertently collecting their own data sets since they first saw a ... Apr 16, 2023 ... With the uprising of statistics in football and the creation of ever-evolving expected goals (xG) models, we have seen a steady transition ... Expected Goals (otherwise known as xG) was originally conjured up by a small corner of the online football analytics community. It didn't take long for ... Oct 13, 2024 ... Goal! 1:2. Ilie Sánchez (Los Angeles Football Club) scored with right footed shot from the central position outside the box with an xG of ... Nov 28, 2023 ... In this regard, xG, which is defined as the probability of a shot resulting in a goal, has become one of football's primary measures of player ... Jul 22, 2024 ... Expected Goals (xG) is a popular metric in football that estimates the likelihood of a shot resulting in a goal. Traditional xG models are ...