Exploratory Data Analysis of IPL Matches

Priya khandagale
2 min readJul 6, 2021

IPL is a professional Twenty20 cricket league founded by the Board of Control for Cricket in India (BCCI) in 2008. The league has 8 teams representing 8 different Indian cities or states. It enjoys tremendous popularity and the brand value of the IPL in 2019 was estimated to be ₹475 billion (US$6.7 billion). So let’s analyze IPL through stats.

The dataset has 18 columns. Let’s get acquainted with the columns.

  • id: The IPL match id.
  • season: The IPL season
  • city: The city where the IPL match was held.
  • date: The date on which the match was held.
  • team1: One of the teams of the IPL match
  • team2: The other team of the IPL match
  • toss_winner: The team that won the toss
  • toss_decision: The decision taken by the team that won the toss to ‘bat’ or ‘field’
  • result: The result(‘normal’, ‘tie’, ‘no result’) of the match.
  • dl_applied: (1 or 0)indicates whether the Duckworth-Lewis rule was applied or not.
  • winner: The winner of the match.
  • win_by_runs: Provides the runs by which the team batting first won
  • win_by_runs: Provides the number of wickets by which the team batting second won.
  • player_of_match: The outstanding player of the match.
  • venue: The venue where the match was hosted.
  • umpire1: One of the two on-field umpires who officiate the match.
  • umpire2: One of the two on-field umpires who officiate the match.
  • umpire3: The off-field umpire who officiates the match

Objectives:

  • To find the team that won the most number of matches in a season.
  • To find the team that lost the most number of matches in a season.
  • Does winning toss increases the chances of victory.
  • To find the player with the most player of the match awards.
  • To find the city that hosted the maximum number of IPL matches.
  • To find the most winning team for each season.
  • To find the on-field umpire with the maximum number of IPL matches.
  • To find the biggest victories in IPL while defending a total and while chasing a total.

To have a code , I recommend you to visit my github repository:

https://github.com/P9604/IPL_Data_Analysis-EDA-

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