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IPL Data Analysis & Match Insights

Discovered match-winning trends using Python and IPL ball-by-ball data

Divij Kumar

55%

Chasing win rate

200%

Death overs impact

60%

Runs from boundaries

Overview

Analyze IPL data to identify winning patterns, player trends, and phase-wise impact. Process Cleaned IPL datasets, created aggregates, analyzed trends, and built visualizations in Python. Results Found death overs most impactful, chasing more successful, and boundaries highly dominant. Reflection Add ML-based match prediction, venue analysis, and interactive dashboards.

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