Web application for plotting events on a sport's playing area with a single click, while keeping track of any other details. Supports download and upload of .csv files.

2017 Example NBA basketball website using nba_py for people to learn how to use NBA Stats Python API.

NBA Daily Fantasy Sports EDA and Player Modelling with R

Using machine learning libraries to analyze NBA data

This repo contains machine learning applications that use time-series forecasts to predict the probability of certain players winning the MVP award in the National Basketball Association

Calculating Regularized Adjusted Plus-Minus (RAPM) with R

Only NBA tweets from ESPN Stats & Info https://assafmo.github.io/nba-espn-stats-and-info

ST Blog ->

Extensible, Multi-functional back-end server for web applications based on Flask.

Watch free sports channels

NBA 2k and Stats Exploratory Data Analysis and Modeling. View project here: https://htmlpreview.github.io/?https://github.com/willyiamyu/nba2k_analysis/blob/master/nba.html

NBA database in C#

We've got everything you need to keep up with the latest movies, TV shows, music, sports, and websites. We're constantly updating our content with the newest releases and hottest trends, so you can always find something new to watch, listen to, and explore.

Web app that leverages Flask backend to pull wealth of data on NBA players in clutch circumstances directly from NBA.com and visualizes it in a comprehensible manner, allowing users to settle the age-old argument: who's more clutch?

The NBA data and Machine Learning

A collection of soundboards for Cleveland Cavalier commentators.

schools that produced a single NBA player

A study of the significance of 3-pt efficiency in the NBA for predicting team win % when also considering other player stats in 4 eras: 2000-2004, 2005-2009, 2010-2014, & 2015-2019.