Sports Analytics is the task of analyzing sports data. It includes player performance analysis, analysis of all game highlights, data storytelling and summary of a sports tournament, comparison of strengths and weaknesses of teams and players, etc. So, if you’re looking for data science project ideas on sports analytics, this article is for you. In this article, I’ll introduce you to some of the best Data Science project ideas on Sports Analytics you should try.
Data Science Project Ideas on Sports Analytics
Below are some of the best data science project ideas on sports analytics you should try.
IPL 2022 Analysis
IPL is one of the most popular cricket leagues all over the world. Currently, it is being hosted in India, so it is a trending topic based on sports analytics. There is not much data available about the IPL 2022 now, but you will easily find data about the summary of the complete tournament from here. You can use this data for data analysis and storytelling of IPL 2022. You can find a tutorial on how to perform IPL 2022 analysis here.
FIFA Analysis
There are a lot of football fans all over the world. If you are someone who knows about Football, you should try analyzing the data about the FIFA world cup. FIFA analysis is a popular use case of sports analytics in the data science community, so you can easily find many resources on the internet to learn about FIFA analysis. You can find a dataset on the FIFA world cup here.
Player Performance Analysis
There are a lot of datasets based on the performance of players over the years. You can find the performance data of your favourite player and perform player performance analysis. It will be an amazing data science project on sports analytics. You can find a dataset about Virat Kohli’s performance on ODIs from here for the task of performance analysis.
Summary
So these were some of the best data science project ideas on sports analysis you should try as a data science practitioner. Sports Analytics includes player performance analysis, analysis of all game highlights, data storytelling and summary of a sports tournament, comparison of strengths and weaknesses of teams and players, etc. I hope you liked this article on Data Science project ideas on sports analysis. Feel free to ask valuable questions in the comments section below.
