Welcome to Football Viz and Modelling! This repository contains functions for visualizing football data and in the future also for clustering and predictions!

I've developed a versatile function that generates scatter plots using football data. Simply select the league, variables for the axes, and the season to get started!

1. Get Your Football Data: Obtain your football data with the required variables(player_id,player_name,team_name,league_id, season).
2. Choose the League: Select the league of interest.
3. Select Axes Variables: Choose the variables for the X and Y axes.
4. Specify the Season: Define the season you want to analyze.
5. (Optional) Customize Outliers: Adjust the multiplier value for standard deviation to identify outliers.

Here's an example from Ligue 1's 2022/2023 season, featuring the variables xG (Expected Goals) and xAG (Expected Assists Goals).

• The red dots indicate outliers in the data
• There is hover-over information on all points in the created HTML

Note: README files on GitHub can't display interactive HTML content, so the Plotly image has been saved as a PNG. If you'd like to interact with the plot and explore its functionalities, you can watch the HTML file from the link below:

Link to Ligue 1 2022/2023 xG-xAG Scatter Plot HTML(Created with Raw.githack.com)

Or download it from here:

Download Ligue 1 2022/2023 xG-xAG Scatter Plot HTML