Last year, as I embarked on my NFL sports statistics work, I attended the Sloan Sports Analytics Conference for the first time. A year later, after a very successful draft, I was invited to present an R workshop to the conference.
My time slot was up against Nate Silver so I didn’t expect many people to attend. Much to my surprise when I entered the room every seat was taken, people were lining the walls and sitting in the aisles.
My presentation, which was unrelated to the work I did, analyzed the Giants’ probability of passing versus rushing and the probability of which receiver was targeted. It is available at the talks section of my site.
After the talk I spent the rest of the day fielding questions and gave away copies of R for Everyone and an NYC Data Mafia shirt.
Jared Lander is the Chief Data Scientist of Lander Analytics a New York data science and AI firm, Adjunct Professor at Columbia University, Organizer of the New York Open Statistical Programming meetup and the New York and Government Data Science and AI Conferences and author of R for Everyone.
