Inspiration
The inspiration behind the Soccer Analytics app was to provide a simple and user-friendly tool for analyzing open data from statsbomb, a soccer data provider.
What it does
The Soccer Analytics app allows users to analyze soccer match data by selecting the competition, season, and match they want to analyze. Once the selections are made, the app provides various match statistics such as shots, dribbles, carries for each player, fouls, interceptions, dispossessed, miscontrols, and more.
How we built it
The Soccer Analytics app was built using Python as the main programming language. It utilizes open data from statsbomb to extract and process relevant match statistics. The app is built using the Streamlit framework, which provides a simple and interactive user interface.
Challenges we ran into
During the development of the Soccer Analytics app, one of the challenges we faced was ensuring the accuracy and reliability of the match data obtained from statsbomb. It was crucial to handle different season names and avoid errors when selecting the desired season.
Accomplishments that we're proud of
I'm proud to have developed a user-friendly app that allows soccer enthusiasts to easily access and analyze match statistics. The app provides valuable insights into player performance and team dynamics, aiding in a deeper understanding of the game.
What we learned
Through the development of the Soccer Analytics app, I gained experience in working with soccer match data and implementing data analysis techniques. I also learned how to leverage open data sources like statsbomb to create informative and interactive applications.
What's next for Soccer Analytics
In the future, I'm planning to further enhance the Soccer Analytics app by incorporating additional features and expanding the range of analyzed statistics. I also aim to improve the app's performance and usability based on user feedback and insights gained from real-world usage.
You can find the repository for this project on GitHub and access the app here.
Please note that the above information is based on the provided content and may not reflect the actual details of the project.
Built With
- python
- statsbomb
- streamlit
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