About the blog
Dribble Analytics is an open-source basketball analytics blog. The data, code, and graphs are available online for anyone to see and use.
Along with providing all aspects needed to create a post, Dribble Analytics attempts to provide in-depth explanations of each analysis. Combined with the open-source data, this helps make basketball analytics accessible.
All data sets and code can be accessed on my GitHub here.
Every blog post is also posted on Reddit. If you would like to see some of the discussion there, you can visit my Reddit profile, u/dribbleanalytics.
About me (Tal Boger)
I, Tal Boger, am the founder and author of Dribble Analytics. Currently, I am a freshman at Yale.
Along with being a lifelong Celtics fan, I have always been interested in statistics. Through Dribble Analytics, I can combine these passions.
Before starting this blog, I had absolutely no programming experience or education. I had also never taken a statistics class. Personally, I started this process by taking a Python course on DataCamp.
The course was very informative and accessibly; I highly recommend it. However, after learning the very basics of Python (like how to make lists, print things, etc.), I was eager to jump in to my first project. Through doing these projects, I learned to code and learned some statistics.
If you want to do the same, I recommend learning the most basic things you need, then jumping right into a project you love. This helped me learn and kept me motivated to do so, as I loved the results.
How to reach me
To contact me, please email: the name of this blog [at] gmail [dot] com. Whether you want some advice on your own basketball projects, some more guidance on where to learn these things, or anything in between, please don’t hesitate to contact me.
You can also reach me on Twitter (@dribalytics) or LinkedIn.