Data analytics have changed the sports industry and NBA is not ex- caption. NBA teams are hiring statisticians in the order they help to select players using Money ball techniques. We will try on the role of NBA data analyst aiming to predict the outcomes of NBA regular-season games by building a binary classification models. In addition to this, we will try to predict the shots of Lebron James and the game results of Lebron teams by considering only his performance.
We have 3 main goals in this Project; Predicting the result of NBA games. Predicting the outcome of Field goal attempts of Lebron James. Predicting game results of Lebron teams by considering only his performance. Statistical tools and approaches are widely used in any sport because they provide accurate and useful information. Especially for the NBA, where there are lots of independent variables that can affect game results or even the whole season. NBA has a lot of predictable and unpredictable aspects. The season itself is dynamic during the year in terms of transfers, injuries, coach changes, changing performance of the players, etc. Some games are easy to predict, some are impossible. For that reason, it is very interesting work on NBA data.
For more detail, please see the report and slides.