⚽ Footballer Potential and Quality Analysis

This project dives into the performance metrics, skill attributes, and potential of professional football players. The goal is to uncover trends, highlight elite performers, and analyze how different nations and player types stack up in terms of skill and future potential.

📊 This is part of a multi-project series based on a massive dataset scraped from Transfermarkt and available on Kaggle. Due to the dataset's diversity, this repo focuses specifically on player potential and quality. For other analysis projects I have created, visit the Footballer-Analysis-Series repository. I have listed all of them in that repository.

---

📌 Objective

To explore how player ratings, potential, and skill attributes vary across individuals, and highlight trends that differentiate elite players from average ones. Showcasing EDA skills is also one of the personal objectives.

---

🗂️ Dataset Overview

• Source: Kaggle - Player Scores by David Cariboo
• Scraped From: Transfermarkt
• Key Columns Used:
  • name, age, nationality, positions
  • overall_rating, potential
  • international_reputation(1-5)
  • skill_moves(1-5), weak_foot(1-5)

Note: Dataset retrieved on July 16th, 2025.

---

🧠 Author

Created with effort and a lot of plotting 🧠
Made By Sakib

😃 Appreciation

Thank you for checking out my work. If you found this project cool, check out the rest of the analysis series.

Have a great day!