https://github.com/yash22222/datathon-football-data-dilemma

Integrating FPL, Transfermarkt, and Understat data, our strategy optimizes squad selection. This approach, leveraging market values and detailed player statistics, ensures both financial prudence and on-field performance. Strategic acquisitions align with set rules and budget constraints, emphasizing value-driven choices for a robust squad
https://github.com/yash22222/datathon-football-data-dilemma

business-analytics comma-separated-values data-analytics fpl-analysis microsoft-power-bi no-code python transfermarkt understat web-scrapping

Last synced: 4 days ago
JSON representation

Integrating FPL, Transfermarkt, and Understat data, our strategy optimizes squad selection. This approach, leveraging market values and detailed player statistics, ensures both financial prudence and on-field performance. Strategic acquisitions align with set rules and budget constraints, emphasizing value-driven choices for a robust squad

• Host: GitHub
• URL: https://github.com/yash22222/datathon-football-data-dilemma
• Owner: Yash22222
• Created: 2024-02-04T05:47:01.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-04T06:55:20.000Z (9 months ago)
• Last Synced: 2024-04-15T01:01:14.754Z (7 months ago)
• Topics: business-analytics, comma-separated-values, data-analytics, fpl-analysis, microsoft-power-bi, no-code, python, transfermarkt, understat, web-scrapping
• Language: Jupyter Notebook
• Homepage:
• Size: 30.9 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# FOOTBALL DATA DILEMMA - BILLION-POUND STRATEGY FOR SUCCESS!

Unlocking Fantasy Football Success: A Data-Driven Journey Through FPL, Transfermarkt, and Understat

## Overview

This project aims to provide a comprehensive analysis of Fantasy Football squads by integrating data from various sources, including FPL, Transfermarkt, and Understat. Users can leverage this analysis to make informed decisions about player selection, transfers, and overall squad management.

## Conclusion

Our approach combines data from FPL, Transfermarkt, and Understat, offering a comprehensive view of player performance, market values, and in-game statistics. Utilizing Transfermarkt insights for budget allocation and Understat metrics for player performance, our strategy ensures a nuanced squad selection. Strategic acquisitions, guided by Transfermarkt data, adhere to budget constraints, ensuring both financial stability and on-field competitiveness.

## Table of Contents

- [Installation](#installation)

- [Usage](#usage)

- [Contributing](#contributing)

- [License](#license)

## Installation

To install the project, follow these steps:

1. Clone the repository:

   ```bash

   git clone [https://github.com/yourusername/your-repo](https://github.com/Yash22222/DATATHON-FOOTBALL-DATA-DILEMMA)https://github.com/Yash22222/DATATHON-FOOTBALL-DATA-DILEMMA.git

   cd your-repo

1. Install dependencies:

npm install

5. Move on to the "Usage" section and describe how users can utilize your project:

## Usage

```markdown

To use this project, follow these steps:

1. Run the application:

   ```bash

   npm start