Web Application for Fantasy Premier League Analysis Using Streamlit
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Updated
Aug 27, 2022 - Jupyter Notebook
Web Application for Fantasy Premier League Analysis Using Streamlit
FPL 1 - Wrangling data to create a data set ready for machine learning
Web-interface used to manage Fantasy football bids. Keep track of each partecipent credits and their teams during the bid.
A website to Chautarians (NFC members). It is based on popular fantasy site Fantasy Premier League. Here, members can view FPL winners, score, predict and play SP.
Front-end PlayPlayers crypto Fantasy (Football) product
Get Premier League Fantasy Football data into Google Sheets.
An Android app that shows a usefull info and stats about football players in fantasy premier league
View stats of players and teams for your favourite sports.
Code for scraping a sports results website and creating a SQL database to store the information.
Provide your mini-league code to find statistics about the leauge
Grabs data from the FPL API and creates a dataframe of all players in the English Premier League with their corresponding data, e.g. total points, goals, average points. Also creates .CSV files for data from each game week
GraphQL API to retrieve the Fantasy Premier League data
SwiftUI app to analyze data for FPL.
Submission for the Hackaone hackathon: Freeda Play
Exploring eight years of Fantasy Premier League data..
Fantasy Premier League is a popular sports game, where each user selects a set of real-life soccer players, and based on their real-life performances, he receives a certain score for each of them.
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