🏆 FIFA World Cup Analytics Dashboard

An interactive web-based visual analytics platform that explores historical FIFA World Cup data (1930-2022), revealing trends, patterns, and insights through charts and statistics.

Forked and maintained as part of my portfolio. I contributed to analytics presentation, project refinement, testing, and documentation.

✨ Features

Interactive Visualizations

• 📈 Goals Trend Line Chart - Track how scoring has evolved from 1930 to 2022
• 📊 Top Teams Bar Chart - See which nations dominate by wins, goals, or titles
• 🥧 Continental Pie Chart - Understand goal distribution by continent
• ⚔️ Team Comparison - Compare any two teams head-to-head

My Contributions

• Assisted in dashboard refinement and UI presentation
• Worked on analytics interpretation and feature polishing
• Helped test functionality and improve usability
• Maintained project documentation for portfolio showcase

Key Questions Answered

1. Are modern World Cups more defensive? - Analyze goals per match over time
2. Which teams have dominated? - Rank teams by wins, goals, or titles
3. Do knockout matches have fewer goals? - Compare group vs knockout stages
4. How do rivals compare? - Brazil vs Germany, Argentina vs France, etc.

🚀 Quick Start

Prerequisites

• Python 3.8+
• pip

Installation

# Clone the repository
git clone https://github.com/prithvi-kaizen/fifa-wc-analytics.git
cd fifa-wc-analytics

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the application
python app.py

Access the Dashboard

Open your browser and navigate to: http://localhost:5001

📁 Project Structure

fifa-wc-analytics/
├── app.py                    # Flask application with API endpoints
├── data_processor.py         # Data processing & analytics logic
├── requirements.txt          # Python dependencies
├── data/
│   ├── matches.csv           # Historical match data (1930-2022)
│   └── tournaments.csv       # Tournament summaries
├── templates/
│   └── index.html            # Dashboard HTML
└── static/
    ├── css/
    │   └── styles.css        # Premium dark theme styling
    └── js/
        └── app.js            # Chart.js visualizations

🔌 API Endpoints

Endpoint	Description	Parameters
GET /api/goals-per-worldcup	Goals and averages per tournament	-
GET /api/top-teams	Team rankings	metric (wins/goals/titles), limit
GET /api/goals-by-stage	Group vs Knockout comparison	-
GET /api/goals-by-continent	Goals by continent	-
GET /api/team-comparison	Compare two teams	team1, team2
GET /api/available-teams	List all teams	-

Example API Calls

# Top 5 teams by goals
curl "http://localhost:5001/api/top-teams?metric=goals&limit=5"

# Compare Brazil vs Argentina
curl "http://localhost:5001/api/team-comparison?team1=Brazil&team2=Argentina"

📊 Data Sources

The dashboard uses historical FIFA World Cup data covering:

• 22 World Cups (1930-2022)
• 250+ matches in the sample dataset
• 80+ nations represented

Data fields include: year, host country, teams, scores, attendance, match stage, and more.

🎨 Design Features

• Premium Dark Theme - Football-inspired colors (deep green, gold accents)
• Glassmorphism Cards - Modern frosted glass effect
• Responsive Layout - Works on desktop, tablet, and mobile
• Micro-animations - Subtle hover effects and transitions
• Chart Insights - Dynamic text explaining each visualization

🛠️ Tech Stack

Layer	Technology
Backend	Python, Flask, Pandas
Frontend	HTML5, CSS3, JavaScript
Charts	Chart.js
Styling	Custom CSS with CSS Variables
Fonts	Inter (Google Fonts)

📝 License

This project is for educational and demonstration purposes.

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Portfolio

View my portfolio: https://rishabhm005.github.io/portfolio/

Built with ❤️ for football fans and data enthusiasts