Learn Python with NFL Next Gen Data: Ezekiel Elliot | Fantasy Football Data Pros
Soccer Stats In Excel - Excel4Soccer
Exporting Data | Sports-Reference.com
Automated Football (Soccer) Analytics for Clubs at Any Level | Track160
football.json 2019/20 Update - Free open public domain football data in JSON incl. English Premier League, Bundesliga, Primera División, Serie A and more - No API key required ;-) : r/datasets
GitHub - tonyz0x0/football-manager: Data Analysis as a Football Manager
premier-league · GitHub Topics · GitHub
Welcome - football.db - Open Football Data
CFB Data
Obtaining sports data from an API using Python requests | by Doug Steen | Analytics Vidhya | Medium
Build a Football Data Scraper With Node.js - The Easy Way
Sample Data - Bet on James!
Using Data to Predict the SuperBowl 50 Winner | Cardinal Path
Build a Football Data Scraper With Node.js - The Easy Way
Build a Football Data Scraper With Node.js - The Easy Way
Learn Python with NFL Data - Estimated Points Added | Fantasy Football Data Pros
Football Analytics: Using R and FBref Data - Part 1
Retrieve Fantasy Football Stats using ESPN's API: Part 3 – Red Green Refactor
Webscraping NFL Data with Python to CSV - YouTube
2021-2022 Football Team Stats | Kaggle
Football Data Analysis and Prediction - YouTube
FIFA 2022 Dataset CSVs (19k+ players, 100+ attributes) | Sports Statistics & Sports Data - Sports-Statistics.com
Football Analytics: Using R and FBref Data - Part 1
Export football.db tables to comma-separated values (CSV) files using SQLite tools - football.db - Open Football Data
Analysing football statistics with R, Python, MongoDB and a Raspberry Pi - Raspberry Pi Pod and micro:bit base
GitHub - fantasydatapros/data: Fantasy Football data in the form of CSV files available for use in pandas, R, excel etc.
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
