Sports tech firm Stats looks to bring A.I. to the broadcast booth and sideline

phys.org | 4/20/2018 | Staff
TimHyuga (Posted by) Level 3
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When a baseball announcer rattles off your favorite player's batting average with two outs and runners on first and third, he's not pulling that figure from the back of his mind. There's a good chance that timely information was provided by Stats, a Chicago-based sports data and technology company.

Stats, which gathers data from sporting events around the world for more than 650 customers, says it has inked five deals this year worth a total of more than $70 million. The most recent deal, a $10 million agreement announced last week, extended and expanded a relationship with a global broadcast and telecommunications conglomerate.

Stats - Plans - Money - Use - Intelligence

Stats plans to invest some of the money into advancing its use of artificial intelligence to capture game data, said Chief Revenue Officer Richard Henderson, who declined to name the other parties involved in the deals.

The company, which has already started building out its artificial intelligence team, is working to train computers to review game footage and extract statistics, providing new insights for coaches and players and fun facts for broadcasters to relay to fans.

Lots - Footage - Games - Henderson - Computers

"There's lots of video footage that exists globally of historic games," Henderson said. "If we can get computers basically to watch the game and code the game, that enables us to aggregate data sources on a much grander scale than individual humans can."

Stats already uses advanced technology to gather data, he said. It deploys employees to stadiums around the world to code games in real time. Its technology can, for example, capture 2,700 data points in a soccer game. It can track the distance a player ran, the trajectory and speed of the ball, how many touches a player had, or how quickly she accelerated.

Intelligence - Data - Henderson - Analytics - Coaches

Artificial intelligence can gather and process even broader data, Henderson said. It can provide predictive analytics to coaches, showing them, for...
(Excerpt) Read more at: phys.org
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