Rohit Patil

IPL Analysis from 2008 till 2026

To Analyze the IPL season from 2008 to 2026 . To find hidden data abouts teams , players , ground etc.... Process I first cleaned the dataset , Data was a bit messy , and in one case there was overwritten of 2009 on 2010 season , so 2010 season what not there in the seasons column . Then i started to make blueprint of what can i add , So i found that teams related things such as Team winning toss and match probability , Team performance in powerplay , middle and death overs , winning count of teams overall and also with there rivals , also team winning title for that particular season. Then i moved on to player performances , like top run scorer overall and against particular team , Similarly for bowler - top wicket taker and wicket taken against each team , also number of awards won by the players . Then i moved on to Stadium Analysis. And applied some filter options for deeper analysis. Results Toss winners win only 50.49% — a coin flip. Teams fielding first win 53.8% vs 44.3% batting first. V Kohli leads runs (9,040) and YS Chahal leads wickets (229). Average innings score grew 26% from 145.9 (2011) to 183.8 (2026) — IPL is becoming a batters' game. Gujarat Titans have the highest win rate (61.4%). Mumbai city hosted most matches (186). Winners score 51 runs in Powerplay vs 45 by losers , a 6 runs gap that decides matches. AB de Villiers won most Player of Match awards (25). 15,252 sixes hit across all seasons. Reflection I will first decide everything from schemas to DAX measure for better Power BI Dashboard . i will create necessary measure only .