Please write:

1. Functional requirements

2. Non-functional Requirements

3. User Requirements

4. Technical Requirements

5. Business Requirements

6. Regulatory requirements

for the following project.

Introduction The project will document the endtoend research and activities carried out to prove a machine learning model to predict how players will play and forecast their performance for their upcoming games. The emphasis will be on cleaning and transforming the data to producing models for different factors such as passing, shots, etc. These models produce visualizations [graphs and figures} that give complete analysis for the selected matches, teams, or players. For this project we need to gather large amounts of data from games, we have multiple open sources from where we can gather that data: m from this we get shots data of each game with at; and x and y coordinates of each shot on the field. mm from this source we can get each players actions in a game such as pass, block, interception, etc. Project Description Our study disproves the adage that "League tables never lieII in football by offering a data- based method for analyzing soccer matches. We go above and beyond that league table to give consumers metrics that truly identify the top teams and players. Users can view the distinguishing stats that lead to the greatest outcomes and performances. The user can analyze significant events, team statistics. and player data. The goal of our initiative is to use data to comprehend and demystify the game of soccer. Objective To build a Big Data model that would predict football players and teams' performances in their upooming matches based on how they played before