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StatFloor

This project aims to make accurate predictions of player performances and use these predictions to select lineups on the popular fantasy sport sights lineups

  • Data Retrieval
  • Statistical Modelling
  • Betting Strategey

Software

This project is primarilty devoloped with Python 3, and uses a few popular Python libraries.

Prerequisites

The project uses the libraries: requests, bs4, and pandas. They can be installed with pip

pip3 install pandas bs4 requests

Installing

The project can be installed by simply cloning the repository

git clone https://github.com/philiplassen/StatFloor.git

Running

We can run the data Webscrape with the following command as an example.

python3 src/player_scrape.py "mike trout" 2018

This stores Mike Trout's gamelogs from 2018 in a csv

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A library for scraping sports data

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