AI-Powered Sports Web App for Clubs and Managers

• The client had the idea to design a web app that could support the analysis of real players in football match.
• Their key objective was to help clubs and managers realize how important player chemistry is and strengthen their teams.
• They aimed to present the numbers in a way that could help reveal a player’s skills, market value and whether they might transfer to another club.
• Lastly, the platform needed to suggest the best clubs for players and recommend suitable players for team strategies.

We built a smart football analytics platform that helps clubs and managers understand player performance and team dynamics through data. The solution combines reliable data sources, intelligent insights, and a scalable backend to support accurate analysis and long-term growth.

• Built a data-driven football analytics app

  We designed an AI football analytics platform called Machine Football, using advanced algorithms to produce helpful information out of data.

• Integrated reliable data sources

  We seamlessly integrated WyScout API which helped us provide data on players’ statistics, while Capology API was used to access salary and market value information.

• Smart Player Insights

  User can make list of players quickly by reviewing their performance, finishing, creativity, passing and defense skills. You can also highlight certain pitch regions and get details on every player, including their stats, history, value and much more.

• Developed a scalable and efficient backend

  For making the backend perform well and be scalable, .NET Core was used and Python along with Apache Airflow were selected to automate and handle data processing.