https://github.com/absarraashid3/kickmetrics
Kick Metrics is a cutting-edge web application transforming football analytics through data science, machine learning, and modern web development. It offers tools for analyzing player performance, predicting market value, and planning team strategies, catering to professional teams, scouts, analysts, and football enthusiasts.
https://github.com/absarraashid3/kickmetrics
Last synced: over 1 year ago
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Kick Metrics is a cutting-edge web application transforming football analytics through data science, machine learning, and modern web development. It offers tools for analyzing player performance, predicting market value, and planning team strategies, catering to professional teams, scouts, analysts, and football enthusiasts.
- Host: GitHub
- URL: https://github.com/absarraashid3/kickmetrics
- Owner: AbsarRaashid3
- Created: 2024-11-20T06:16:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-08T11:39:47.000Z (over 1 year ago)
- Last Synced: 2025-03-08T12:26:39.515Z (over 1 year ago)
- Language: JavaScript
- Size: 41.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# KickMetrics
KickMetrics is a cutting-edge web application that transforms football analytics through the integration of data science, machine learning, and modern web development. It offers tools for analyzing player performance, predicting market values, and planning team strategies, catering to professional teams, scouts, analysts, and football enthusiasts.
## Key Features
Player Performance Analysis: Utilize advanced metrics and visualizations to assess player strengths and weaknesses.
Market Value Prediction: Employ machine learning models to estimate player market values based on performance data.
Team Strategy Planning: Analyze team dynamics and optimize strategies using data-driven insights.
User-Friendly Interface: Navigate through an intuitive UI designed for both professionals and enthusiasts.
## Installation
To set up the project locally, follow these steps:
Clone the repository
git clone https://github.com/AbsarRaashid3/KickMetrics.git
Navigate to the project directory:
cd KickMetrics
Install backend dependencies:
cd backend
npm install
Install frontend dependencies:
cd ../frontend
npm install
## Usage
Data Import: Upload datasets containing player and match statistics.
Analysis Tools: Navigate to the analysis section to explore various metrics and visualizations.
Predictions: Use the prediction module to estimate player market values and potential performance.
Strategy Planning: Utilize team analysis tools to devise optimal game strategies.
## Technologies Used
Frontend:
React.js
Redux
Chart.js (for data visualization)
Axios
Backend:
Node.js
Express.js
MongoDB
Mongoose
Python (for machine learning models)
Flask
Others:
JWT for authentication
D3.js for advanced data visualizations
Docker for containerization