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Check out the documentation for more information.

FIFA 24 Player Market Value Analysis

Dataset Overview

This dataset contains information about 180,021 football players from EA Sports FC 24. The main goal is to analyze what factors determine a player's market value.

Source: Kaggle - EA Sports FC 24 Complete Player Dataset Original data: EA Sports FC 24

Research Question

What factors influence the market value of a football player?

Key Findings

  • Most players have a market value under €1M (right-skewed distribution)
  • Players aged 20-24 have the highest market values due to their potential
  • Wage is the strongest predictor of market value
  • Attacking players (strikers and wingers) are the most valuable
  • La Liga has the highest median player values

Files

  • male_players.csv - Main dataset with all player statistics
  • Assignment_1_EDA_Dataset.ipynb - Full EDA notebook

Tools Used

  • Python, Pandas, Matplotlib, Seaborn
  • Visualizations

1. Distribution of Player Market Values

Distribution

2. Top 20 Most Valuable Players

Top 20

3. Age vs Market Value

Age

4. Position vs Market Value

Position

5. Correlation Heatmap

Heatmap

6. Top Leagues by Player Value

Leagues

Video Presentation

Watch the full presentation

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