Introduction

Project name: Never tell me the odds

Project Description: This project uses NBA stats and machine learning to predict the outcome of NBA games

Value/Problem: The project addresses the growing demand for accurate sports predictions, which can be beneficial for analysits and NBA teams to determine what stats prove to be beneficial in winning games

Evidence of Interest: Sports betting is a hot topic, with bettors constantly looking for insights. Also sports analysts seek ways to predict outcomes based on statistics.

Problem Summary

Main Issue: Predicting the outcome of NBA games can be complex, involving multiple variables that are difficult to analyze manually.

Evidence of issues: Analysts and NBA teams want to understand which statistics are most predictive of game outcomes and gain an edge over their oponents.

Solution: This project use data from apis (Kaggle, nba-api) and a machine learning model in combination with AI such as gpt models to process the data and predict the outcome of games.

Userbase

Sports analyists: Indidvuals who are intrested in stats that impact games

Expertise

Sports: Played sport for my whole life, watched the NBA for many years

Intrests: Intrested in looking at dat and finding patterns that may lead to a specific outcome

Conclusion

In conclusion, this tool will use machine learning combined with data csvs to predict the outcomes of NBA games. These games will then be displayed on a dashboard for people to check and see the predicted winner of a given game on a given day.