Full Stack IPL Cricket Analytics Dashboard and Statistics Platform
Group: Capstone Project
|Product Category: BI Reporting & Analytics
|Sub Category: Data Analysis
About this Product
IPL Analytics Dashboard is an advanced, full-stack capstone project that transforms 17 years of Indian Premier League ball-by-ball match data (2008–2025) into a production-grade cricket intelligence platform — complete with a data ingestion pipeline, a 22-table PostgreSQL database, 50+ REST API endpoints, and 14 interactive dashboard pages.
With this project, you'll build a platform that can:
- Ingest and parse Cricsheet JSON match files into a normalized database via an automated Python pipeline
- Compute batting, bowling, and fielding statistics — per-season and all-time career totals
- Browse teams, players, match scorecards, and season-wise squad details
- Explore sortable leaderboards — most runs, wickets, sixes, best economy, and more
- View points tables with NRR computed from actual ball-by-ball innings data
- Compare players and teams head-to-head with a dedicated comparison tool
This project teaches you practical skills like:
- Full-stack development with FastAPI and Next.js App Router
- Relational database design with 22+ normalized tables and audit trails
- REST API design with 14 route modules, service layers, and Pydantic DTOs
- Interactive data visualization with Recharts and Chart.js
- JWT authentication with role-based access control
It uses Python, FastAPI, SQLAlchemy, PostgreSQL, Alembic, Next.js, React, Tailwind CSS, Recharts, and Chart.js.
Why this project matters:
IPL data is rich, real, and publicly available. This project gives you a complete picture of how production data platforms are built — from raw JSON ingestion to interactive dashboards.
Resources
This ZIP archive contains curated ball-by-ball match data for the Indian Premier League (IPL) seasons 2021, 2022, and 2023, formatted as individual JSON files — one file per match. The dataset is sourced and validated by Practyc, covering complete match records across all league stages, qualifiers, and finals for the three seasons.
Each JSON file encodes a single IPL match and includes:
- Match metadata: match ID, season year, venue, date, series, and result
- Innings-level data: batting team, bowling team, total runs, wickets, and extras
- Ball-by-ball deliveries: over number, ball number, batter, bowler, runs scored (bat + extras), and dismissal details
- Batting scorecard: per-batter runs, balls faced, boundaries (4s/6s), strike rate, and how-out info
- Bowling scorecard: per-bowler overs, maidens, runs conceded, wickets, economy rate, and dot balls
- Fall of wickets: score and over at each dismissal
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