Giter Site home page Giter Site logo

cbb-stats's Introduction

College Basketball Stats

Python 3.8

 

Matchup and Simulation tool for NCAA Division 1 Men's Basketball teams. This app predicts the score outcome of games and gives the probability a team will win. There is also a section that allows you to simulate the score of a game based on probabilities. The app itself, College Basketball Matchup Predictor, is hosted on Shinyapps.

 

There is also an Excel file included here that contains links to the names and logos of all Division 1 basketball schools.

 

Further Reading

 

Check out Bart Torvik and KenPom if you want some more nitty-gritty college basketball stats. There's also a great paper about the Derivation of Pythagorean Won-Loss Formula that effectively forms the basis for all college basketball analytics.

 

 

And as always GO BIG BLUE

 

Anthony Davis, Coach Cal, and Eloy Vargas celebrate Kentucky's 8th National Championship in 2012 after defeating the Kansas Jayhawks.

 

 

 

License

MIT © Devan Scholefield

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.