WebCompleted2024

Premier League Analytics & Visualization Dashboard

Role: Full-Stack Developer & Data Analyst

Sports analytics web platform providing deep statistical breakdowns, player radar charts, and match momentum heatmaps for Premier League fixtures.

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GitHub Repository (Main)

Primary verified codebase, implementation, and commit history

Premier League Analytics & Visualization Dashboard

Technology Stack & Libraries

TypeScriptReactNext.jsTailwind CSSRechartsSports Analytics

The Challenge / Problem

Context & Objectives

Standard sports news apps offer shallow box scores and superficial match summaries, concealing underlying tactical trends and underlying chance creation quality.

Architectural Solution

Engineered Approach

Built a visual analytics dashboard using TypeScript and modern data charting libraries that renders multi-dimensional match event datasets interactively.

System Architecture & Pipeline

Event Data Feed -> Data Transformation Scripts -> TypeScript Dashboard UI -> Recharts / D3 Visualizations.

Developed an interactive soccer analytics web application tracking Premier League team and player performances. The system processes match event logs to compute advanced statistical metrics including xG, pressure recovery percentages, and progressive pass matrices.

Engineered Capabilities & Innovations

Interactive player comparison radar charts across 15 technical metrics

Pitch territory possession and match momentum timeline heatmaps

Historical head-to-head performance predictors based on rolling form indices

Responsive dark-themed visual design optimized for data scannability

Empirical Results & Benchmarks

Successfully modeled and visualized full-season event logs across all 20 Premier League clubs with instantaneous client-side chart re-renders.

Have Questions About This System?

I am always glad to discuss technical architecture, benchmarks, or potential collaboration.

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