MIT scientists examine making chess matches more interesting with graphs, analysis, and a scoring system

MIT scientists are working with data in an attempt to make chess the next big spectator sport.

Greg Borenstein wants to give people a new perspective on chess, putting it on par in popularity and passion with football and mixed martial arts. He announced his plan with a prototype system showing algorithms, leaderboards and visualizations of matches and players delivered in real time.

The challenge of watching chess is that individual moves are often separated by several minutes—even hours at the professional level—of the players thinking while the board remains static. Borenstein’s prototype shows graphs, data and analytics to an audience during those breaks to keep the show interesting. To do this, he had to create a scoring system that data could indicate.

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