The player performance analysis is one of the great examples of the use of Data Science in sports analytics. Cristiano Ronaldo is one of the most famous soccer players in the world. Therefore, it would be a great data science project if we analyze Cristiano Ronaldo’s performance in last years.
First of all, I will say that I’ve expanded the concept of “last years” a little bit. When I started collecting data, I saw that Cristiano, who is 37 years old, doesn’t play very often now, and it’s not very interesting to analyze such statistics. So I decided to analyze the last 12 years of this player’s career, starting from 2010.
Ronaldo had time to play for many clubs in 12 years: Real Madrid, Juventus, Manchester United. He played in 3 national championships and played a lot for his country’s national team. Over twelve years, this great soccer player played 730 games. And this data is more than enough to analyze his best and worst periods.
The tool I will use to analyze this data is the Python programming language, as well as its libraries: pandas, numpy, plotly.
Links
- Google Colab: https://colab.research.google.com/.
