/Web-Scraping-Project-IPL-Dataset

IPL Match Results & Stats 2008-2022

Primary LanguageJupyter Notebook

Web-Scraping-Project-IPL-Dataset(2008 - 2022)

This dataset contains IPL match results and stats from 2008 - 2022

Context:

  • The Indian Premier League (IPL) is a professional Twenty20 cricket league that was founded in 2008 by the Board of Control for Cricket in India (BCCI). The league features eight teams representing different cities in India, with each team comprising a mix of local and international players. The IPL has become one of the most popular and lucrative cricket leagues in the world, with millions of fans tuning in to watch matches every year.

  • The league has a unique format, with teams playing each other twice in a round-robin format, followed by playoffs and a final. Matches are played in various cities across India, with some matches also being held in other countries. The IPL is known for its high-scoring matches, with teams regularly scoring over 200 runs in a match.

  • This IPL dataset contains a comprehensive list of match results and statistics from the first 15 seasons of the league, spanning from 2008 to 2022. The dataset includes information on the teams that played in each match, the scores of both teams, the winner of the match, the winning margin, the player of the match, and other key statistics.

Column Description:

Column Description
full_scorecard Link to full match scorecard
team1 Name of first team playing the match
team2 Name of second team playing the match
team1_score Total runs scored by first team
team2_score Total runs scored by second team
toss_winner Name of team winning the toss
toss_choice Choice made by team winning the toss (bat/field)
winner Name of winning team
margin Winning margin
man_of_the_match Name of player awarded "Man of the Match"

Source:

  • The data was scraped from espncricinfo.com, a reputable and reliable source for cricket-related data.

Inspiration:

  • The IPL dataset can be used for a variety of purposes, including analyzing team and player performances, identifying trends and patterns, and predicting future match outcomes. The dataset can also be used to gain insights into the strategies employed by winning teams, the factors that contribute to successful performances, and the impact of different playing conditions. Overall, the IPL dataset is a valuable resource for cricket enthusiasts, data scientists, and anyone interested in sports analytics.

Social Links: