The project is a football player recruitment platform that adopts data intelligence to quantify individual player performances.
The platform acts as an assistant to the scouting, recruitment, and data analysis teams, supporting them in spending their time and resources in an efficient and goal-oriented way. Its algorithm allows one to find the most reliable players for a football club in a database. The platform suggests viable transfer targets and identifies talent at a young age by calculating their potential using machine learning algorithms. With the ability to apply search filters and -functions, it is the ideal partner for football professionals to stay ahead of the game.
EU-based football analytics company.
Sports Analytics
The main challenge was to create a high-quality product that would allow our customers to stand out from the crowd.
When we joined the project, we knew that end-to-end testing would be useful. After a discussion, we decided to use Cypress, a testing framework designed for developers and QA specialists, where users write their tests using JS. We performed more than 500 functional manual tests with different charts.
To ensure the correctness of API responses, we used the Postman response viewer.
Since its launch, more than 50 clubs, agents, and media companies have already started working with this platform.
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