There are lots of great statistically-based basketball websites out there, but unfortunately, not all of them are very accessible to the casual, numbers-phobic fan.

Using the tools and experience I use every day at my job, I’ve created this website to communicate basketball statistics in a more user-friendly way.

Part of this communicate will be visual, using traditional line and bar charts that you’d see at an executive board meeting, as well as more trendy Web 2.0-like visualizations, like infographics and interactive Javascript applications.

But much of my communication will attempt to be in the plainest words possible. Baseball’s sabermetric community has spawned its own language that can sometimes be difficult to comprehend. I will try my best to communicate the knowledge gained from statistical analysis in a manner that’s easiest to understand.

For the basketball analytics community, I have created this website as a data repository. Having gone to the last 2 Sloan conferences, I have noticed a large population of analysts, but not as large a population of programmers and data communicators.

I hope that this website and the underlying data behind this website become a jumping-off point to attract people from the open source programming community, and the burgeoning data visualization community, so that they can contribute their talents and move the basketball analytics community forward.

As for me, I am a data analyst at an online travel company. My entire life revolves around communicating analysis in a way that doesn’t include the words “confidence interval”, “median”, or anything related to math or statistics.

I also spend a lot of time understanding what people want to analyze, and setting up data sets so they can perform a reliable analysis.

And in terms of fun, I play some basketball (poorly), a lot more golf (somewhat competently), and am part of a softball league (I’m terrible).