NBA Career Longevity Predictor Front End

NBA Career Longevity Predictor aims to predict a selected players likely longevity and success in the league.

Read More on the Technical Design Document

Trello Board

The React front end of the application is deployed here

Note: This project was built in a week, and is no longer being worked on.

Motivation

NBA contracts are sometimes 9 figures long. It is in a team's best interest to have a good idea of the longevity of a player's productivity. This application uses historical data to find similar players and predict a selected player's likely longevity and success in the league.

Implemented features

• Users can sign up and search for players stats and their predicted longevity.
• Users can save players to a list
• Users can edit and delete saved players

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

• Fork the project
• Clone or download the project
• Navigate into the directory and Install dependencies
• Finally you can run the app by typing in your terminal

npm start

Technologies used

• React
• React Router
• Redux
• Axios
• Material-ui

Acknowledgement

Lambda Schools

Authors

James Bishop, Colin Bazzano and Forrest Bingham