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A statistical analysis of how teams do in ESPN fantasy leagues compared to expected results based on average score and standard deviation

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tommypraeger/fantasy-sports-analytics

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Fantasy Sports Analytics

Welcome to my repository for my fantasy sports analytics site!

Usage

You can use the site here: fantasy-sports-analytics.com

Development

Running the front-end locally

Install dependencies:

npm install

Start the app:

npm start

The site will run on port 8000 by default.

Running the back-end locally

Install dependencies:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Start the app:

python3 devserver.py

The app will run on port 3000 by defaul.

Future Work

  • Mobile-friendly
  • Add platforms/sports
  • Add other pages
  • More tests

Acknowledgements:

Looked at this for API implementation ideas: https://github.com/rbarton65/espnff

Poission Binomial Distribution code comes directly from here: https://github.com/tsakim/poibin

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A statistical analysis of how teams do in ESPN fantasy leagues compared to expected results based on average score and standard deviation

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