This afternoon I participated in the third Mathematics and Sports session at the 2017 Joint Mathematics Meeting. My talk was titled “A Bayesian analysis of draft pick value in Major League Soccer”, which is a follow-on to what I presented at CASSIS in September but within a Bayesian framework. I’m way too critical of my own talks (and everything else in general), but I did okay and it was well-received by the audience, which was almost entirely composed of academics.
The slide deck from my talk is now on SlideShare and you can view the slides below. There is more mathematics content than you would see at a sports analytics conference outside of Sloan or NESSIS/CASSIS, but it’s relatively light for a professional mathematics conference like JMM. As always, comments are welcome.
I thank Professors Drew Pasteur and John David for organizing the sessions and inviting me to participate, and I hope to do so again in the future.