Data-Driven Football Project
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Updated
Apr 5, 2023 - Jupyter Notebook
Data-Driven Football Project
A webapp to follow football transfer market
Development of the scraping process used to collect data for the Pundits Review website - https://www.punditsreview.com/
English football results since 1888
Online Football Portal for Fans of German Club Borussia Dortmund.
Houses data related to the Arena Football League (1987-2008, 2010-2019, 2024-Present?)
A collection of Jupyter Notebooks for extracting, processing, and merging sports data from whoscored.com, transforming it from JSON to CSV and SPADL formats for comprehensive season analysis.
A wrapper for the football-data.org api
Allows users to access the CFBD API, and get the resulting data in either a dictionary (think JSON), or in a pandas DataFrame (think spreadsheet).
A football Analysis App
Java client for sportdataapi.com
Proyecto de ingeniería inversa a las apuestas deportivas para describir el futbol desde una perspectiva distinta
Generate football player data
Qatar world cup 2022 datas from FIFA official site
World Cup Brazil Android Application 2014. Comes with Countdown, Schedules, Alarm, Live scores, Push notification, Top scorers and Admob. Developed with Eclipse IDE
Display data about Brazilian football games that will occur in the next few days
This is repository is related to building end to end data pipeline for football leagues analysis and predictive modeling.
This repository will contain all sorts of basic visualisation to step into the world of football analytics
Mainly football leagues database of 2023/2024 season in JSON format
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