Sport Insight

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Sport Insight is a tool created for football fans and professionals that provides in-depth analysis of matches and performance data in a user-friendly format. By using graphics and data interpretat…

Analytics

football-data
football
data-visualization
analytics

sport-insight

Sport Insight provides an in-depth exploration of football match data, offering fans and analysts a powerful tool to understand team performance and match dynamics.

Home Demo

Upcoming Matches Overview

Matches

Comprehensive Match Listing: View all upcoming matches

  • Detailed Odds Information:

  • Home team odds

  • Away team odds

  • Draw odds

Match Stats Page

Match Stats

When you select a match, dive into comprehensive statistics:

Head-to-Head Analysis

  • Historical Encounters Table: Complete history of past matches between the two teams

Team Performance Insights

  • Home Matches Table: Performance in home games

  • Away Matches Table: Performance in away games

Recent Form Snapshot

  • Last 5 Matches Summary:

  • Represented as W (Win), L (Loss), D (Draw)

  • Quick visual representation of recent team performance

Interactive Charts

Analyze historical match data with interactive charts:

  • Over 1.5 Goals

  • Over 2.5 Goals

  • Over 3.5 Goals

  • Draws/No Draw Analysis

🚀 Quick Start

Prerequisites

Backend Setup

 # Clone the repository
 git clone https://github.com/CodeWithKola/sport-insight.git
 cd sport-insight/backend

 # Install dependencies
 npm install


 # Create .env file
 echo "SPORT_API_URL=https://app.scalesp.com/api/v1
 SPORT_API_KEY=your-api-key-here
 PORT=5008" > .env

 # Start backend server
 npm start

Frontend Setup

# Navigate to frontend directory
cd ../frontend

# Install dependencies
npm install

# Create .env file
echo "VUE_APP_BACKEND_URL=http://localhost:5008" > .env

# Launch development server
npm run serve

🤝 Contributing

Contributions are welcome! Please check out our Contributing Guidelines.

Found an Issue?

  • Open a GitHub Issue

  • Provide detailed description

  • Include steps to reproduce

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.