That’s where analytics – discovering and evaluating patterns in data – has helped Duke’s 2014-15 squad define and accept what constitutes a good shot, both in absolute terms and in making the best use of Okafor’s skills and talents. “I think coaches for years have always tried to coach good and bad shots by their players. And one of the more simple things is the catch-and-shoot three versus a 3-pointer off the dribble,” Cullen explains.

The Blue Devils made 42 percent of their catch-and-shoot 3-pointers (51-121) in their first seven games, all wins. Given that only 42 long-distance tries were created off the dribble – with 28 percent accuracy – it appears the lesson sank in. “You try to look at where you can be your best,” Cullen says. “That’s one area that we’ve made a conscious effort to improve.”

Statistics acquired through SportVU can be tailored to a team’s needs. In its second year of use at Duke, the staff is still exploring the possibilities. “We’re getting more of an understanding of what we’re seeing,” says Cullen, a former team manager who graduated from Duke with a degree in computer science in 2007. “I think we understand better what they’re presenting and how to use it.”

Duke is one of the few university programs employing SportVU (along with ACC member Louisville), and might be the only team, college or pro, whose practice floor as well as home arena are equipped with the system. The idea is to get as much useful data as possible.

Through Dec. 11, Duke had played eight games, all except one in a building where SportVU is available. Meanwhile, the Devils had 42 practices; including those greatly expanded the universe of data. That enlarged trove of information is then subject to analysis that generates data in a range of unfamiliar but useful categories – touches per game, rebound chances (calculated when a player is within 3.5 feet of the ball), secondary assists (passes leading to a basket, as in hockey), potential assists (resulting in free throws).

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