Skip to content

Dive into IPL's Data Universe : Explore the IPL Data through captivating analysis. Uncover player performances, team dynamics, and seasonal trends.

Notifications You must be signed in to change notification settings

GayasuddinMohd/IPL-Data-Unveiled-Exploring-Cricket-s-Winning-Formulas

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

50 Commits
 
 
 
 
 
 

Repository files navigation

Image Alt Text

IPL Data Unveiled : Exploring Cricket's Winning Formulas

This repository presents an in-depth analysis conducted on the Indian Premier League (IPL) data. The IPL is a renowned Twenty20 cricket league in India, and this analysis delves into the data to uncover meaningful insights, patterns, and trends.

Skills

  • Python

Dataset

  • Download the dataset from Kaggle.

Insights

  • CH Gayle has the most player of the match awards.
  • The percentage of tie matches is only 1.19%.
  • Mumbai Indians wons maximum number of toss.
  • Most of the team won the match after batting first with 1 to 20 runs.
  • Mumbai Indians won the maximum number of matches after batting first.
  • Most of the team won the match after batting second with 4, 5 or 6 wickets.
  • Kolkata Knight Riders won the maximum number of matches after batting second.
  • 2013 has the maximum number of matches in ipl.
  • Mumbai conduct the most number of matches in ipl .
  • There is 51.98% chances in winning the match after winning the toss.
  • Chennai Super Kings won the most number of matches after winning the toss.

About

Dive into IPL's Data Universe : Explore the IPL Data through captivating analysis. Uncover player performances, team dynamics, and seasonal trends.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published