IPL Ball-by-Ball Analytics — Tactical Insights from 289K+ Deliveries

Analyze IPL ball-by-ball data to identify how toss outcomes, scoring phases, player consistency, and chasing behavior associate with match success across seasons. Process Loaded and cleaned multi-season IPL datasets, engineered tactical match features, generated analytical visualizations, and interpreted trends through evidence-based cricket analytics using Python, Pandas, Matplotlib, and Seaborn. Results Analyzed 1,218 IPL matches and identified death-over scoring efficiency as more strongly associated with winning outcomes than toss advantage. Reflection Expand the analysis using venue-specific trends, predictive modeling, and interactive real-time analytics dashboards.