Sample Data - Bet on James!
The Beautiful Game: How Data Visualization Can Change Football On and Off the Field | by James Smith | Nightingale | Medium
CFB Data
Automated Football (Soccer) Analytics for Clubs at Any Level | Track160
My TABLEAU dashboard for german 1st Bundesliga | Devoteam Denmark
Welcome - football.db - Open Football Data
GitHub - fantasydatapros/data: Fantasy Football data in the form of CSV files available for use in pandas, R, excel etc.
GitHub - tonyz0x0/football-manager: Data Analysis as a Football Manager
Webscraping NFL Data with Python to CSV - YouTube
Simple Football Data-set Exploration with Pandas | by Stephen Fordham | Towards Data Science
Soccer Stats In Excel - Excel4Soccer
Export football.db tables to comma-separated values (CSV) files using SQLite tools - football.db - Open Football Data
The Geography of Football Stadiums (2018): An Example of Data Wrangling and Integration with FME | Safe Software
Learn Python with NFL Next Gen Data: Ezekiel Elliot | Fantasy Football Data Pros
Sample Data - Bet on James!
Gaining insights into winning football strategies using machine learning | AWS Machine Learning Blog
Data License Terms & Conditions
Build a Football Data Scraper With Node.js - The Easy Way
Exporting Data | Sports-Reference.com
GitHub - jokecamp/FootballData: A hodgepodge of JSON and CSV Football/Soccer data
premier-league · GitHub Topics · GitHub
Neil Currie on Twitter: "footballdata3 isn't quite the same as a normal tibble/data.frame. That's because R hasn't pulled the data in yet. This keeps things fast. To pull it in we use
Football Analytics: Using R and FBref Data - Part 1
Analysing football statistics with R, Python, MongoDB and a Raspberry Pi - Raspberry Pi Pod and micro:bit base
football-data · GitHub Topics · GitHub
