By Kevin Eagan
We started Storm Stats (a student organization) almost two years ago seeking to introduce students to the exciting world of sports analytics. It's a rapidly growing field that combines mathematics, computer programming, "Big Data", and of course, sports!
A group of 5-10 students met every Monday throughout the academic year and looked at various sports topics from a uniquely data-driven perspective. We often started club meetings with an inspirational video of someone who works in college or professional athletics. We would then have a brief presentation from one of our members on a topic of interest. The aim was to familiarize ourselves with the biggest names, techniques, and trends in sports analytics. Some of the most interesting topics we looked at included:
- Playing the role of professional hockey general manager and selecting players based on production while trying to stick to an allotted budget.
- Settling the age-old argument of who is the best quarterback in the NFL (supporting our opinions with data).
- Scanning the internet for dynamic infographics and visualizations of various sports.
- Looking at "heat maps" to try and determine what would be an improved strategy on soccer corner kicks.
- Creating our very own statistics that attempt to quantify clutch performances in athletes.
We concluded most meetings by attempting to apply some of our new found skills. We'd collect data, organize it, calculate unique metrics, and perform analysis about our very own Storm basketball team. Much of that work was later presented to the coaching staff here at Davidson-Davie.
Finally, we had email correspondence with analysts from the Charlotte Hornets (NBA), the Carolina Panthers (NFL), and Inpredictable.com's Michael Beuoy. Going forward we've talked about writing articles, contributing to blogs, and attending sports analytics conferences.