1 – Firstly, not all shots are the same, i.e. they have different probabilities to be transformed into goals. Some shots are easy to be scored and some are more difficult. Also, different players tend to take different type of shots and because of this, directly comparing their conversion rates wouldn’t be a fair way to judge on their finishing ability.
One reasonable way to deal with this is to build/apply an expected goals model to our data and then to categorize shots based on the expected goal value, allowing us to take into account the difficulty of each shot. Unfortunately, we don’t know enough parameters to do this. Instead, to categorize shots, we will use the only parameter we have: the distance from the center of the goal. This is obviously not ideal, since the shot difficulty depends on many other variables, but considering that the distance from the goal is the most influential parameter in almost every expected goals model, it makes sense to use it. This will hopefully allow us to take into account shot difficulty.
呢兩段佢自己都承認好難客觀比較每一個射門難度,所以佢個expected score係用"the distance from the center of the goal", 呢個就可以客觀d.
係o既,都係牙朗差d,但就係因為我地無法扣除浪射o既數據嘛