FPL Analytics Dashboard

Welcome to the FPL (Fantasy Premier League) Analytics Dashboard! This dashboard is designed to help fantasy football enthusiasts make data-driven decisions to optimize their FPL strategies. The dashboard provides a comprehensive view of player statistics, performance metrics, and visualizations to enhance your FPL experience.

Features

• Interactive Data Tables: Sort and view player statistics including goals, assists, points per game, and more.
• Dynamic Filtering: Filter players by position, team, price range, and minimum total points to narrow down your selections.
• Visual Analytics: Explore data through interactive charts that display value analysis and form momentum of players.
• Player Comparison: Select up to three players to compare their detailed performance statistics side by side.
• Statistical Insights: View key statistical indicators such as average, median, and 90th percentile values for various performance metrics.
• Data Export: Download the filtered player data as a CSV file for your own analysis.

Dashboard Layout

• Overview Tab: Displays general player statistics and key visualizations.
• Attacking Stats Tab: Focuses on offensive metrics like goals scored and expected goals.
• Defensive Stats Tab: Shows data related to defensive efforts including clean sheets and goals conceded.
• Value Metrics Tab: Analyzes players' performance relative to their cost.

Technology

This dashboard is built using Python with the following key libraries:

• Streamlit: For creating the web application.
• Pandas: For data manipulation and analysis.
• Altair: For generating interactive visualizations.
• Requests: For fetching data from the FPL API.

Data Source

The data is sourced in real-time from the official Fantasy Premier League API, ensuring that the dashboard reflects the most current information available.

Usage

To run the dashboard locally, you will need Python installed on your machine along with the required libraries. You can install the dependencies using:

pip install streamlit pandas altair requests

To start the application, run the following command in your terminal:

streamlit run app.py

Replace app.py with the path to the script file if your file name or directory is different.