K-Means Player Cluster Analysis
In this post, we explore player role analysis and clustering techniques in football. Discover how to categorize players based on their playing styles, positions, and attributes using clustering algorithms. Unveil the underlying patterns and gain insights into the different player roles in football.
FBREF Data Scraping - 2024 Update
A 2024 Update and additional part of the FBREF data scraping series, this post focuses on data analysis and visualization using the scraped FBREF data. Learn how to extract insights, perform statistical analysis, and create visualizations with the scraped football data with more advanced techniques.
Exploring mplsoccer - Advanced Player Analysis
This post aims to give a detailed walkthrough of how to access data scraped from various web-sources and visualise them using the open-source mplsoccer python library. In this iteration, we'll be looking how to constuct individual and comparison Pizza plots for player evaluation.
EPL Wages Analysis
This post provides a comprehensive analysis of player wages in the English Premier League (EPL). Explore the distribution of wages, identify trends among top earners, and examine the relationship between wages and on-pitch performance. Gain insights into the financial landscape of the EPL!
Figuring Out xG pt2
Building on Part 1, this post delves deeper into the analysis of expected goals (xG) in football. Discover advanced techniques for evaluating and interpreting xG metrics, explore their applications in player performance analysis and team strategies, and gain a deeper understanding of xG in football.
StatsBomb Data Exploration pt3
In the final part of the StatsBomb data exploration series, this post focuses on extracting valuable insights from StatsBomb football data. Learn how to uncover trends, perform statistical analysis, and generate meaningful visualizations using the comprehensive football datasets provided by StatsBomb.