This repository is being shared so that you may easily reproduce the figures in the manuscript, as well as access and download the data for your own analyses.
Many thanks to bettingdata for permitting the sharing of this curated dataset!
Note: the packages listed in the requirements.txt file are all standard. As such, you may be able to run the notebook in a base environment in Jupyter. If you want to use an IDE such as PyCharm, please follow the steps below.
(1) python3.10 -m venv .venv
(2) source ./.venv/bin/activate
(3) pip install -r requirements.txt
Tested on MacOS Monterey 12.3
Dmochowski JP (2023) A statistical theory of optimal decision-making in sports betting. PLoS ONE 18(6): e0287601.