Analytics of IPL from 2008 to 2023 by Power BI.
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- IPL is Famous Cricketing event in India, Which has over 1 Billion Viewership across Platforms.
- IPL has it's genesis in 2008 and successfully conducting event every year with rising popularity.
- This "IPL Analysis" project is developed to delivery a compelling Data Story built on IPL journey from 2008 to 2023.
- This canvas has four section (Yearly Stats, Batsman Stats, Bowler Stats & Team Stats).
- Each Section provides comprehensive Insights, Enjoy & unleash interesting insights delivered by Data.
- Find Best Performing Batsman & Bowlers.
- Find Season Stats like Average score, Fours & Sixes hit, Matches Played.
- Get insights about Final Contest, Scores, Title Winner & Man of the Match.
- Get Details about Average score of Each team across venue.
- Find out Win percentage based on Bat/Field first and based on Toss, Toss Decision.
- Find Individual Batting Performances like Runs Scored, Strike Rate, Highest Score, Batting Average, 4/6 Hit, Dot ball %, Boundary/Balls.
- Find all these Stats across Teams and across Season.
- Find which Bowler Dismissed the Batsman Most, Dismissal Type.
- Find Who was the most Expensive Bowler.
- Analyze stats against Teams, Venue & Bowlers.
- Find Individual Bowler Performances like Wickets Taken, Economy, Best Bowling, Bowling Average, Bowling SR, Dot ball %, 5 Wickets.
- Find all these Stats across Teams and across Season.
- Find whom the Bowler Dismissed Most, Dismissal Type.
- Find Wickets & Economy Rate across Overs.
- Analyze stats against Teams, Venue & Bowlers.
- Find Team Performances like Win %, Best Score, No of Finals Played, No of Title Winners, No of Orange caps & Purple caps in the Team.
- Find Batting Squad of the Team and their Batting Performances.
- Find Bowling Squad of the Team and their Bowling Performances.
- Find Average Score oh the Team across the Venue.
- Analyze several stats of the Team across the Season.
- Cricketing Enthusiast can form best Teams/Players for "Dream 11" as per the past performances backed by Data & improve the chances of Victory.
- Teams can select appropriate players under different playing conditions emulated in the past & increase the probability of Desired result in present Scenarios.
- Cricketing Fans/Geeks can explore interesting stats about Cherished Players/Teams of IPL journey from 2008 to 2023.
SQL, ETL, Python, Power BI...
