High Performance Computing and Sports Analytics

With the 2011 World Series about to kick off in St. Louis on Wednesday, it is interesting to note how the usage of analytics has been common in baseball for years.  However, not unlike other fields, the amount of data has begun to grow exponentially.  From the article Beyond ‘Moneyball’: The rapidly evolving world of sports analytics, Part I, we hear that the data available to decision-makers has grown exponentially over the last 15 years:

Innovations in sports science, ranging from training routines to nutritional regimens, coupled with improved reporting from medical staffs and trainers have all come with their own data sets that are gathered and tracked somewhere within an organization. With improved communications via the Internet, the frequency and amount of information captured, stored and distributed by scouts and coaches at all levels has grown significantly.

But it doesn’t stop there:

The advent of motion capture technology has expanded the data collected from each game. This technology tracks everything that moves on a field every 100th of a second. The impact of this is staggering for it transforms the amount of information captured for a single game from a few hundred rows of data to well over one million. Major League Baseball, the NBA and pro soccer teams have implemented this type of technology.

This all sounds very similar to what we heard on October 5, 2011 at the STLhpc.net High Performance Data Analytics event when we saw how High Performance Computing (HPC) is helping other organizations to tackle the analysis of ever growing quantities of increasingly complex data.  HPC could similarly help professional sports organizations leverage their wealth of data to make more informed decisions.

I recommend that you read the entire article Beyond ‘Moneyball’: The rapidly evolving world of sports analytics, Part I to hear more about how analytics have and will be used in sports.

 

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