video1.0<iframe src="https://www.loom.com/embed/2fcfe289e9e64938ab3dcd041b1df65d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/2fcfe289e9e64938ab3dcd041b1df65d-c2c27a68cd4e0e52.gif331.883This Loom presents an IPL Analytics Dashboard focused on data preprocessing and match insights from cricsheet.org. The author analyzes 1,233 matches and 293,308 deliveries using Python, C++, Pandas, Google Colab, and a GitHub repository, converting JSON to data frames and merging franchise team names like Delhi Day Devils into Delhi Capitals and Kings XI Punjab into Punjab Kings. They find toss results are close to 50-50, with a slight advantage for teams fielding first, and note power play and strong death execution as key to winning. The analysis shows average first-innings scores rising from about 161 early seasons to around 197 recently, highlights Virat Kohli as the top run scorer, and notes Sunil Narine’s surprisingly strong death-over economy of 7.29 among spinners.