Player Analysis – Giannis Konstantelias (PAOK)

Project Overview

This project analyzes the performance of Giannis Konstantelias, a PAOK FC player, using Python and CSV data. The workflow includes data cleaning, analysis, and visualization to gain insights into his performance across the Greek Super League 2024–2025 season.

Key Features

• Data cleaning and preprocessing with Python

• Player performance analysis:

  • Goals and assists

  • Yellow and red cards

  • Player rating per month and overall rating

• Game impact analysis:

  • How the game is affected when he scores vs. when he doesn’t

  • Contribution to team attacks and defensive actions

• Visualizations using Python (charts and diagrams)

• Summary statistics displayed in the terminal

How to Use

1. Clone this repository:

git clone https://github.com/timosvar/Giannis-Konstantelias-Player-Analysis.git

2. Open the Python scripts and CSV files in your preferred environment (e.g., Jupyter Notebook, VS Code).

3. Run the analysis scripts to generate charts and terminal statistics.

Technologies

• Python (pandas, matplotlib/seaborn)

• CSV data sources

Analysis Preview

Credits

This project was created as part of a Workearly course.