⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
An asynchronous Python package for https://understat.com/.
Create a database of ⚽️ data from understat.com
Fantasy Premier League prediction using Machine Learning
UnderStat Web Scrapper
Python package for get data of www.understat.com
Mo Salah had an exceptional season winning the PFA awards, Golden boot and finished with 13 assists making him assist king of 2021-22 season. This is his shotmap
Scrapping Understat for player, match, team and league data using BeautifulSoup
Basic comparison pizza chart. To compare two players The PFA released their Team of the season for the 2021-22 Premier League season. Thiago Alcântara of Liverpool FC was included in the midfield three. Many fans questioned the PFA's decision for the inclusion ahead of the likes of Rodri of Manchester City and Declan Rice of Westham United. Let…
Repository designed to work with data from the Premier League. It is used as both a personal self-study as well as a tool to fetch, analyze and model performance metrics to maximize returns in a returns-based game called Fantasy Premier League (FPL).
A project to determine the centrality and closeness of a shot to goal.
A Fantasy Premier League (FPL) dashboard which allows users to plot several key performance metrics against each other which allows users to obtain key insights on the statistical indicators of top players in the Premier League (EPL).
Integrating FPL, Transfermarkt, and Understat data, our strategy optimizes squad selection. This approach, leveraging market values and detailed player statistics, ensures both financial prudence and on-field performance. Strategic acquisitions align with set rules and budget constraints, emphasizing value-driven choices for a robust squad
A Hypothesis Testing Analysis of FC Barcelona's Season
Streamlit app to show FPL Infographics based on Official FPL API Data, undrerstat and Fbref data
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.
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