In treating soccer like a language, these researchers can predict the next word

By Noah Lloyd January 13, 2026
A group of researchers sit around a conference table in a glass-walled meeting room

The Chelsea Football Club, which plays in the English Premier League, recently named Liam Rosenior as its new manager. But will this former player’s style change Chelsea’s play for the better? 

That’s the kind of question that a new research group at Northeastern University, operating out of the Network Science Institute, hopes to answer. By analyzing the statistics and movements of both teams and individual players across thousands of matches, they can build dynamic networks of interactions that predict how games will unfold. 

While they’ve largely focused on soccer for the past year, their methodology can apply to any sport, from those with complex team dynamics, like soccer, to more individual sports, like tennis or even gymnastics.

Read more at Northeastern Global News

Photo by Matthew Modoono

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