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⚽ Player Analytics Dashboard

A modern football player analytics platform built using Python, Dash, and PostgreSQL, powered by StatsBomb event data.
Visualize player performances, explore interactive heatmaps, and filter matches dynamically — all from a sleek, responsive UI.


🚀 Features

  • 🔥 Interactive KDE-based player heatmaps with vertical pitch orientation
  • 🎯 Match-level filtering and event-type selectors
  • 📊 Dynamic visualizations with Plotly
  • 🧠 Backend powered by structured PostgreSQL queries
  • 🕹️ Built with responsive and modular Dash components

🛠️ Tech Stack

Built with:

Postgres Supabase Render Python Pandas NumPy Plotly Dash CSS3 VS Code GitHub


🧠 Data Source

  • 📊 StatsBomb Open Data
  • Events pre-processed and stored in Supabase PostgreSQL for performance

🔮 Coming Soon

  • 🧾 Player Metrics Cards: Clean, compact summaries of a player’s key metrics
  • 🕸️ Radar Charts: Compare player profiles using interactive spider plots
  • 🎨 UI Overhaul: Better spacing, dark/light themes, and mobile responsiveness

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