Tennis Recruitment Algorithm
We were very excited by the idea of an algorithm that detects early talents, and the fact that this could generate magnificent volumes of revenue if used properly. The exact function of this project is to make that detection.
How it works
Either through web scraping or CSV-feeding, the code will interpret data about the year-by-year statistics of tennis players. For now this is limited to changes in points and ranking. This data is then put through an algorithm that determines the players who have made the most improvement in the given time-span, and estimates which players would be the best to recruit.
Challenges
As our time was limited and all our findings were limited to Google searches, we decided to start only with points and ranking. This will demonstrate to the jury that if the necessary data is provided to us, we can take it further and add many more parameters to our algorithm.
What's next?
We have discussed as a team, and decided that once we are able to access the respective data, we will extend the algorithm to consider age, W/L ratio, win streaks, and current revenue from tennis.
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