PlayerProps

Which stats correlate to how many points a player scores
Our mean squared error when running linear regression
Encoding player names to certain numbers, part of EDA and cleaning data
All of the frameworks that we have used in this certain project

This project was created for the 2024 HackDavis competition and this web application intends to give insight on the game of basketball and analyze in depth, the significance of scoring and how scoring is measured in the NBA. Through looking at different stats within the game of basketball, we figured out a way to predict a player's points based on the previous few seasons as well as thier playoff performance

Analyzing NBA statistics to predict future points per game for players can have positive social impacts in several ways:

By understanding which statistics correlate with higher points per game (PPG), teams can tailor their training programs and strategies to enhance player performance. Coaches can identify areas for improvement, such as shooting accuracy, assists, or free throw percentage, leading to better player development. Teams can make informed decisions during drafts, trades, and contract negotiations. Predictive models help teams assess a player's potential impact on PPG, aiding fair compensation and team-building decisions. Futhermore, Accurate predictions enhance fan engagement by creating excitement around player performances. Finally, Fans enjoy discussing stats, predictions, and fantasy leagues, contributing to the overall enjoyment of the sport.