Orlando Magic | Improving On-court Performance With Help From SAS | SAS Customers

The NBA's Orlando Magic use data from motion capture cameras to analyze player movement and help the coaching staff make better game-time decisions. The team is moving from big data to big results with a cloud deployment of SAS Visual Data Mining and Machine Learning powered by SAS Viya on Amazon Web Services. The team stores and analyzes 20 years of data from more than 18 data sources on 100,000 players.
Like every NBA team, the Magic strive to use data to track player fitness, acquire better players, optimize lineups and make other strategic decisions, but data challenges persist. Data volumes are exploding and data complexity is also on the rise. For example, cameras now capture data on the XY location of the ball and all 10 players on the court, 25 times per second.
Director of Basketball Analytics David Bencs says, "The in-memory processing of SAS Viya will allow us to analyze data more efficiently, and machine learning will help us understand the data at a deeper level. Something that would have required watching hundreds of hours of game film before, now it's a simple query."
In addition to using analytics for player acquisitions, lineup rotations and training decisions, Bencs and his team are looking to use analytics for a growing list of more strategic decisions.
"We are at a point where the data that's available allows us to ask questions that were impossible to answer before," Bencs explains. "If we can understand the game at a deeper level, it can help us understand why certain games are won or lost."
Learn more about how the Orlando Magic are using analytics to guide their future, on and off the court, at www.sas.com/orlandomagic.
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