This is a final article on using data analysis techniques to explore some interesting insights into Indian Premier League(IPL) matches played from 2008 – 2020. This is part of a series of articles covering data analysis in Python..
As a use-case for this article, let us explore importance of venue on the outcome of the match. Let us explore the favorite venue of each team based on the outcomes of all the matches played between 2008 -2020
Impact of venue on the outcome of the match
Just like the impact of toss discussed earlier, venue also plays an important role on the outcome of the match. Most of it can be attributed to one or combination of the following:
- Home-ground advantage
- Familiarity with the pitch
- Weather
- Home-crowd advantage
If you notice, maximum number of matches were hosted in Eden Gardens in Kolkata, followed by Feroz Shah Kotla stadium in Delhi.
Now, let us find out the win percentage of teams in different teams and see if they do enjoy the home-ground advantage.
Notice, we filtered the data-set based on the matches played in various venues and their win percentage and when we picked the top 10 venues with over 50% win ratio, we notice that, the venue belong to the franchise team.
Notice, Chennai Super Kings and Rajasthan Royals have a higher win percentage at their home ground.
Now, let us look at the other scenario, where the franchises have a higher loss percentage. So, we will find those venues, where the teams have more losses than wins.
If you notice, Deccan Chargers have a poor win record at Eden Garden, Kolkata. As per the data, we notice that Deccan Chargers loose 80% of their matches there.
As an exercise, can you please explore the following:
- Can you get the top 5 venues for Chennai Super Kings where they have a higher win percentage
- Can you get the top 5 venues for Mumbai Indians where they have a higher win percentage
- Can you get the 5 venues for Chennai Super Kings where they have a poor win record
I hope you find this article helpful. Please refer to the project in GitHub https://github.com/kirancshet/IPL_Data_Analysis which includes the Jupyter notebook covering the entire code.
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