🚀 IPL Match Analytics — Sports Analytics MVP Project
In this video, I showcase my IPL Crunch ’26 hackathon submission where I analyzed historical IPL datasets using Python, SQL, and Power BI to uncover match-winning trends, toss impact, player performance insights, and scoring behavior.
📊 Project Highlights:
200K+ IPL ball-by-ball records analyzed
Interactive Power BI dashboard
Exploratory Data Analysis (EDA)
SQL-based cricket insights
Data storytelling & visualization
🛠️ Technologies Used:
Python
Pandas
SQL
Power BI
Data Visualization
📌 Key Analysis Areas:
Toss Impact Analysis
Batter & Bowler Performance
Match Phase Analysis
Chasing vs Defending Trends
Team Performance Insights
This project was built as an MVP alongside academic exam preparation, so the focus was on creating one clean and meaningful dashboard with impactful insights.
📂 Project Type:
Sports Analytics | Data Analytics | Hackathon Project
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#Python #SQL #PowerBI #DataAnalytics #SportsAnalytics #IPL #Hackathon #Dashboard #EDA #Pandas