By: Edward Egros

Mar 2017

Analytics and the UFC

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It may not seem like a natural relationship: analytics and mixed martial arts.  But one research poster at the Sloan Sports Analytics Conference discussed how different fighting styles can be more or less successful in a given bout.  Sean Hacket and John Storey put the research together.  I wanted to ask a couple of UFC fighters about the research, so I spoke to the two competing in the main event at this May's UFC 211: Stipe Miocic and Junior Dos Santos.

To listen to this podcast,
click here.

A Better Way to Compare Athletes?

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Walker Zimmerman of FC Dallas earned an invitation to play for Team USA and has already logged international acclaim. European clubs are also reportedly interested in his services. It is safe to say he has impressed enough around the world to be considered one of the more talented American-born soccer players currently playing.

Comparing soccer—as well as basketball and hockey players—has often been an inexact science. Some refer to their approach as the "eye" test while others use more analytical approaches. For instance, basketball has "
wins produced per 48 minutes played", hockey has "goals versus threshold" and soccer has "goal probability added". But one of the problems one data scientist poses is it is difficult to compare athletes who play different positions, have different styles of play and may emphasize different skill sets.

At the 2017 Sloan Sports Analytics Conference,
Shael Brown, an undergraduate student at Dalhousie University in Canada, proposes a new metric based upon the PageRank algorithm, the way Google's search engine ranks websites in its results. His presentation discusses how players' "relative ranks" when it comes to the flow of their game, can better help us compare the best in each sport.

To listen to this podcast,
click here.

To read Shael Brown's paper,
click here.