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IPL Crunch '26: Cracking Cricket Opinions with Ball-by-Ball Data

Analyzed 1,218 IPL matches over five seasons to map the definitive metrics behind winning phases, toss advantages, and player dominance.

Arpita ParidaIPL Crunch '26: Cracking Cricket Opinions with Ball-by-Ball Data

51.5%

Toss Win Rate

74.3

Avg Middle Over Runs

1,218

Total Matches Analyzed

Overview

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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