Arpita Parida
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IPL Crunch '26: Cracking Cricket Opinions with Ball-by-Ball Data
Tests if traditional IPL toss and phase advantages hold up against 1,218 match data rows. Process Built a data pipeline to analyze 1,218 IPL matches, debunking the toss myth using Pandas. Results Toss win rate is 51.5%. Middle over run acceleration (74.3 runs average) decides match outcomes. Reflection Implement machine learning for win prediction and create an interactive Streamlit dashboard.
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51.5% Toss Win Rate74.3 Avg Middle Over Runs1,218 Total Matches Analyzed
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