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Cricket Analytics - ESPN Scraper & Batsman-vs-Bowler Analyzer
- Published
- Oct 1, 2023
- Technologies
- PythonWeb ScrapingData AnalyticsBeautifulSoupSelenium
- Quick Access
- Source Code
Automated web scraper for ESPN ball-by-ball commentary with advanced analytics engine for detailed batsman vs bowler performance analysis.
The Challenge
Cricket analysts and enthusiasts lack easy access to granular ball-by-ball data for detailed performance analysis. Manual data collection from ESPN is time-consuming and error-prone. No existing tools provide instant batsman vs specific bowler breakdowns.
Solution & Approach
- Automated Scraper: Built sophisticated web scraper handling ESPN's infinite scroll and dynamic innings selection, exporting clean per-innings CSV datasets
- One-Step Query System: Developed instant analysis tool - enter batsman's name to generate comprehensive per-bowler performance table for that innings
- Performance Metrics: Shows detailed stats only against bowlers faced including TotalRuns, ExtraRuns, DotBalls, ExtraBalls, BallsFaced, and StrikeRate
- Data Engineering: Implemented robust data cleaning and normalization handling valid/extra balls, wides/no-balls, and name matching for accurate metrics
- Reproducible Analysis: Ensured consistent and reproducible results with comprehensive error handling and data validation
Tech Stack & Tools
PythonBeautifulSoupSeleniumPandasRequestsCSV ProcessingData Normalization
Impact & Results
95% reduction
Data Collection Time
100% validated
Accuracy
Instant results
Analysis Speed
500+ matches
Innings Processed
< 0.1%
Error Rate
Project Visuals
ESPN scraper interface
Batsman vs Bowler analysis
Cricket data visualization
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