In soccer, xG stands for "Expected Goals" and is a metric used to measure the probability of a shot resulting in a goal. An xG model uses historical information from thousands of shots with similar characteristics to estimate how likely a goal is on a scale between 0 and 1. The higher the xG, the higher the probability of scoring. Not all xG models take into account the same factors, but most consider variables such as distance to goal, angle to goal, body part, type of assist or previous action, goalkeeper position and status, and the position of all attackers and defenders in frame. xG models are important because they are the most accurate predictor of future team and player performance available. xG can be used to get a better idea of underlying team quality beyond current results, highlighting teams who are over or under-performing their expected numbers and whose results may soon begin to change. It can also be used to assess a teams abilities in various situations, such as open play, from a free kick, corner kick, etc.