Algorithmic Methods for Data Mining - Homework 2

Soccer Analytics

Made by Group 8, also known as: Flaminia Spasiano, Mohammadreza Mowlai, Andrea Baldino

The purpose of the project is to perform an analysis on the largest open collection of soccer-logs ever released, collected by [Wyscout] (https://wyscout.com/) containing all the spatio-temporal events (passes, shots, fouls, etc.)

The repository consists in the following file:

1. main.ipynb:

   A Jupyter notebook which provides the solutions to all research questions.

    Exploratory Data Analysis
    	1. [RQ1] Who wants to be a Champion?
    	
    	2. [RQ2] Is there a home-field advantage?  
   
    	3. [RQ3]: Which teams have the youngest coaches? 
   
    	4. [RQ4]: Find the top 10 players with the highest ratio between completed passes and attempted passes.  
   
    	5. [RQ5]:Does being a tall player mean winning more air duels? 
    	
    	6. [RQ6]: Free your mind!
    	
    Core Research Questions 
    	1. [CRQ1]: What are the time slots of the match with more goals?
    	
    	2. [CRQ2]:  Visualize movements and passes on the pitch!
   

2. functions.py:

   A python script which provides all the functions used in the main.ipynb notebook.

3. theory.ipynb:

   A Jupyter notebook that contains the answer to the theoretical exercise.