Cricket analytics project using web scraping and EDA to analyze player performance data.
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Updated
Apr 17, 2026 - Jupyter Notebook
Cricket analytics project using web scraping and EDA to analyze player performance data.
Cricket is a popular sport with a huge global following. Predicting cricket scores is a challenging task due to the complexity of the game and the numerous factors that influence the outcome. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Real-time IPL match win probability predictor using logistic regression. Interactive Streamlit dashboard with 85%+ accuracy, analyzes current match state, required run rates, and provides instant predictions for all 8 major IPL teams.
Cricket Player Segmentation Using K-Means Clustering
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