video1.0<iframe src="https://www.loom.com/embed/ebf5a1fcfe15471ba857372a9913ae63" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/ebf5a1fcfe15471ba857372a9913ae63-af254987ff90499b.gif259.088An IPL data analysis using Python on ball by ball match data up to April 12, 2026. The author maps changed team names, cleans the dataset, and then tests factors like toss impact and over-by-over performance. They report that toss winning has no meaningful impact, while middle overs show high chances for winning due to maximum runs and wickets taken in that phase, with Virat Kohli noted for the most runs and AB De Villiers for the highest strike rate. The key finding is that winning is directly proportional to lower dot ball percentage, with Chennai Super Kings and the Gujarat Titans cited as having lower dot ball percentages and higher win chances, and an analytics dashboard shared across seasons all Seasons.