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EA Sports FC 24: Data-Driven Football Analysis

March 15, 20247 min read
Sports
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EA Sports FC 24 Dashboard

EA Sports FC 24 Analysis Dashboard

Introduction

EA Sports FC 24, the successor to the FIFA series, represents one of the most comprehensive digital simulations of football available today. With detailed player statistics, team ratings, and league data, it offers a rich dataset for analysis. This project leverages that data to explore player performance metrics, team strengths, and league comparisons through interactive visualizations.

Project Overview

This analysis examines the player database from EA Sports FC 24, focusing on key performance attributes, positional strengths, league competitiveness, and team compositions. By visualizing these relationships, the project aims to provide insights for gamers, football enthusiasts, and sports analysts alike.

Dataset Overview

The dataset includes comprehensive information on over 17,000 players featured in EA Sports FC 24:

  • Player demographics (age, nationality, height, weight)
  • Overall ratings and potential
  • Detailed skill attributes (pace, shooting, passing, etc.)
  • Position-specific ratings
  • Team and league affiliations
  • Contract and market value information
Sample of the dataset

Sample of the EA Sports FC 24 player dataset

Key Questions Explored

This analysis seeks to answer several key questions:

  1. How are top-rated players distributed across leagues and positions?
  2. What attributes most strongly correlate with overall player ratings?
  3. How do different leagues compare in terms of player quality and team balance?
  4. What age patterns emerge across different positions and skill profiles?
  5. Which teams offer the best value relative to their player market values?

Project Details

Category

Sports

Date

March 15, 2024

Tools Used

Power BI
Python
Web Scraping
Data Analysis

Key Metrics

Players Analyzed

5,000+

Leagues Covered

9

Teams Included

179

Player Attributes Measured

35+

Feature Highlights

  • Interactive player comparison tool
  • League quality distribution analysis
  • Position-specific attribute insights
  • Team composition visualization
  • Value-to-rating analysis tools