This project is an attempt to glean information about NBA Players. When teams invest in a player they are taking a risk. They pay them millions of dollars for the promise of a return on the basketball court and or through marketing/ticket sales. These two are obviously related but that relationship is not one to one. Here I wanted to focus on whether you could predict the future performance of an NBA player based on his statistics in his first two years. I had a number of different theories about what might be interesting and useful. Ultimately I decided that I wanted to see the following: Can I use a players stats from their first two seasons in the NBA, to predict if they will achieve a benchmark. What benchmark? Here I have decided that I am going to try to predict if a player will have a PER > 20 and play over 1000 minutes in a give season. To see more please visit my GitHub with all of the code & data.


© 2019 by PATRICK WALES-DINAN • Data Scientist.