Multi Variate Analysis and Webscraping Project on WTA Datasets in R

I am looking for someone to write a script in R for a project to do with tennis, You should be well competent in R You should be familiar with Web Scraping You should be familiar with tennis (WTA) The project is related to MVA. You will be given data from the year 2000 until the year 2022 about every tournament in every year, details about the matches of each tournament, and details about the players in every match of the tournament. I have written some questions that need to be analyzed, example: -how does age and experience affect performance? -can we predict upsets (say i have rank 5 against rank 15 and rank 15 wins) from the attributes we have? -do the results in previous (lets say 3) tournaments indicate your performance in this years tournament ? Your task is to edit and answer most of the questions (i have written 10 questions) and add to them some questions you think (using your familiarity with tennis and what you see in the data) will be interesting for the analysis. Most attributes are in the datasets but you need to do some webscraping in the project; that means you will probably have to add questions that will be answered from attributes not in the datasets. You are expected to use multivariate techniques to answer the questions, and also write sidenotes in your script for the understanding of the reader. More details provided in zoom call.