Turkish Super Lig 21/22 Analysis (Python)

Introduction

As I am passionate about football and also working on moving from Morocco to Turkey, my interest in the Turkish league grows more and more...

I have quite a good idea about the league in general. But this doesn't stop me from trying to get better acquainted with the specificities of the Super Lig.

In this project, and using Python, I'm going to analyze the 2021/2022 season of the Turkish Super Lig (TSL).

The idea is to find interesting insights about the league, the players, and the teams... while using simple stats (age, nationality, goals, minutes played...) of all the players who played in the TSL.

The dataset is provided by FBREF.com

Click Here to get access to the table from where I downloaded the data.

You can check the notebook on Github by clicking on the button below:

About the Analysis

In this analysis, I used Pandas, Numpy, Matplotlib, and Seaborn libraries to import, clean, prepare, analyze, and visualize the data and drive insights.

The challenge I forced myself to have is to use basic stats such as goals, assists, minutes played, cards received, nationality, age... to find interesting insights.

To check the analysis process, the code, the insights, and many other things get access to the notebook on Github by clicking on the button below:

Conclusion

This project can be an entry point to many other projects. For example, I could:

• Further my analysis of the impact of non-Turkish players on the league.

• Compare the Turkish league to other leagues (EPL, Laliga, Serie A...).

• Deepen my analysis of the league, the teams, and the players by adding data and stats of each match played during the whole season.

• Compare this season's analysis with a previous season...

In the end, I answered many questions I had in mind, and I clarified some confusion I had about the league. Mainly, that's what the project was made for.