Four keys to sports analytics


By Paige Stanard

In March 2015, the ninth annual MIT Sloan Sports Analytics Conference, the biggest meeting of sports-data experts, was held and more than 3,100 people attended the event. Here are some key takeaways from the event.



1.     Sports analytics has made a big impact – sometimes
In 2006, Houston Rockets general manager Daryl Morey traded for Shane Battier, a forward averaging only ten points a game.  However, data and metrics showed that Battier was an outstanding player due to his defensive skills and shot selection. Studies on Battier introduced several analytics concepts to the public, such as the fact that the corner three-pointer is statistically the most efficient shot.
2.     Most teams aren’t that analytical
Overall, it is incredibly difficult to get teams to accept data-driven ideas.  NFL teams are notoriously conservative on fourth-down plays and football play-calling in general is far too predictable. On the other end of the spectrum, some basketball analytics show that there is still value in old school values and not using analytics. Some teams choose to skip the analytics and focus on the basics like good shots, rebounding and defense.
3.     Analysts need to explain themselves
In order to be useful, advanced data and analytics require clear explanations for those whom aren’t super familiar with it. For example, coaches, managers and players need clear explanations of what they mean and how they can use it. If analytics shows that a baseball team should alter its defensive positioning or that long two-point shots in basketball are bad, this has to be explained in everyday language.
4.     You too can be in this business
How can you get into the sports analytics business?
“Find ways to make it actionable,” said Tyler Dellow, a former hockey blogger who is now a consultant for the NHL’s Edmonton Oilers. “Find ways to help coaches.” It’s all about finding the data and turning it into actionable insights for coaches, players and managers to use.

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