As a language model, I am not able to access specific information about individual players or teams like Paris Saint-Germain (PSG). However, I can provide general guidance on how to conduct statistical analysis on a player's performance.
To begin with, you will need to gather data on the player's performance during their time at PSG. This may include statistics such as goals scored, assists made, shots taken, and minutes played. You should also consider any injuries or suspensions that affected the player's availability during the season.
Once you have gathered your data, you can use statistical software to analyze it. There are many different types of analyses available, including regression analysis,Chinese Super League Home Ground correlation analysis, and hypothesis testing. Depending on the type of analysis you want to perform, you may need to use different formulas or algorithms.
It is important to keep in mind that statistical analysis is only one aspect of evaluating a player's performance. It is essential to take into account other factors such as teamwork, leadership, and mental toughness. Additionally, analyzing a single statistic such as goals scored may not fully capture the player's overall contribution to the team.
In conclusion, conducting statistical analysis on a player's performance is just one part of evaluating their value to a team. To get a complete picture of a player's impact, it is important to consider all aspects of their game and evaluate them holistically.