Table of Contents
There are so many ways to become a better programmer. I decided to take the route that would allow me to become a better programer while also building a tool that could possibly make me more passive income, if done well.
Why?
- Everyone loves a little extra money
- Sports Betting is extremely complex, therefore, it becomes a good candidate to be able to grab bite size pieces of information amongst a sea of data
- The opportunity for me to teach people about Data + Sports, some of my favorite topics
This will not be able to cover everything, but it's an attempt to get a funcioning model. Let's do that first. Build the model, build the backtesting features, and then we will add in complexities. Gather the data, format it, store it, statistical inference, model building, and then do it all again.
This is a complex project, and the end goal is one that we all love to think about, but we won't forget about the steps needed to get there.
Python 3.8 is a prerequisite for this project, due to some of the packages used having their most recent stable versions released on 3.8
- [] Collect Data
- [] Player Performance Data for last 5 years
- [] Live or Semi-Live Odds
- [] Store Data
- [] Inferencing
- [] Model Building
- [] Feature Selection
- [] Feature Engineering
- [] Pipeline Building
- [] Back Testing
See the open issues for a full list of proposed features (and known issues).
I am currently working on a YouTube channel where I stream my work on this project for people to follow along. I am interested and passionate about the democratization of Education, as some of my most valuable learning has come from free sources like Coursera Audits and YouTube University.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Your Name - @samlafell - lafell.samuel@gmail.com
Project Link: GitHub
These are some of the resources I've used along the way to help me gather data so far for this project.