Dynamic game reports and shot charts for NBA fans and observers

This is a python program that uses selenium to web scrape stats from https://www.basketball-reference.com and then displays a graph of an NBA player's career averages using Matplotlib.

A Lemmy bot that create and maintains NBA Game threads, Post Game threads and Daily Game Index threads

Pilot study analyzing psychological drivers of basketball comebacks via media framing and game performance

I love NBA basketball. Since the league makes a ton of data available via JSON, I wanted to create a terminal scoreboard.

從 watch NBA 爬取每日比賽 BOX。

SQL query to determine NBA MVPs and how it compares to the chosen MVP.

Find out who is the most average player in a given NBA season using this program and basketball reference.

Investigating the correlation of box stats in the NBA using Pearson Correlation Coefficients.

Creating datasets to evaluate the impact of the NBA Bubble on player injuries

NBA statistics website using the balldontlie API - made with Django,

Discord Bot with information about the NBA!

Predicting the outcome of a game using Logistic Regression Classification

A python executable that allows the user to search statistics relating to NBA teams and players.

🏀Aplicação utilizando nba-api

NBA Player Statistics Visualization

The program reads the statistics of basketball players from Wikipedia, saves them in an Excel file and generates a graph to compare the values.

A fun tool for generating random oddly specific NBA stats.

All in one NBA analytics inquriy where you can compare players, get career classifications, determine players market value and find out similar player archetypes.

NBA Dashboard using Dash and Plotly