Unleashing the Power of Positional and Event Data in Football!

Achieving Greater Accuracy in Football Prediction with Expected Goals (xG) and Synchronized Data

Introduction

Soccer, or football as it is known in most countries, is a sport that is enjoyed by billions of people around the world. One of the most exciting aspects of the game is the opportunity for a team to score a goal, which can often be the difference between winning and losing a match. However, predicting the outcome of a shot on goal is difficult, as it depends on a variety of factors such as the location of the shot, the position of the player taking the shot, and the current game state.

If you’re new to the world of expected goals (xG) in football, or just want to brush up on the basics, our previous article is a great resource. We cover everything you need to know about xG, including how it’s calculated, the different types of models, and the benefits of using it in analysis. Don’t miss this opportunity to get a solid foundation in xG — click to read more and become an expert in no time.

What is Expected Goals (xG) and How is it Changing the Way We Analyze Football?

xG is a statistical model that estimates the probability of a shot resulting in a goal, based on…