Seif Khaled's Projects
Ahly Egypt Statistics in [2022/2023], The data was obtained from sofascore.com and the chart was created using the Matplotlib library in Python.
This project is a data visualization of Arsenal's expected goals (xG) against different formations during the 2022/2023 season. The data was obtained from Understat.com and the chart was created using the Matplotlib library in Python.
Football Visualization
Today we will be doing an introductory study on football analytics and we will get our own scrape data from understat.com. There are already many companies that keep the data revealed in football matches, such as statsbomb, whyscout, opta.
This repository will contain many mindmaps for cyber security technologies, methodologies, courses, and certifications in a tree structure to give brief details about them
Percentile Rank vs Premier League Att Mid / Wingers | Season 2022-23 of Mohamed Salah 📊, The data was obtained from fbref.com and the chart was created using the Matplotlib library in Python.
Visualize Newcastle United's trophy wins by competition using Python and Matplotlib. Simple and informative horizontal bar chart.
Operating revenue is a crucial indicator of a club’s financial health and success. In this article, we delve into the numbers, examining the club’s revenue trajectory from the 2018-19 season to the 2022-23 season.
Config files for my GitHub profile.
Check if phone numbers are connected to Telegram accounts.
Arsenal FC, one of the prominent football clubs in England, has experienced a rollercoaster ride in terms of its financial performance over the past decade.
The Official USB Rubber Ducky Payload Repository
The xG flowchart analysis of the Arsenal vs. Crystal Palace match on August 21, 2023, provides valuable insights into the teams’ performances. Arsenal’s higher xG, possession, shot accuracy, and corner count underscore their better overall attacking efficiency and control of the game.📈
Download Youtube Video(s) or whole Playlist with Python
Repl exercises from Complete Python Developer course