Cincinnati didn't necessarily know that Matt Miazga was going to get injured before it happened. Nothing seemed wrong to the naked eye. But the data after the game suggested that something, somewhere was developing. The center back went down with a knock. Postmatch, Garrison Draper, FC Cincinnati’s VP of sport performance and health, did as he always does, and peered over the reports: running forms, statistical models, the minutiae of how, exactly, Miazga's body reacts to stress.
They weren't to know it at the time, but as Garrison traced the post-match feedback, five minutes before he asked to be substituted, the club's technology picked up 'an irregular movement pattern.' That doesn’t mean they could have prevented it, of course. They didn't force their center back to play through an injury. The data isn't provided in real time. But the system identified an error. The machine knew he was in trouble.
This is, in effect, predicting the future, or at least providing strong indicators. And it’s relatively common these days. “Sports science” is a term thrown around too often. It has existed for 30 years, in some form. But today, in MLS, it’s everywhere. It’s data and percentages. But it’s also applications, AI and motion captures stationed around stadiums.
MLS, year on year, is using it to the benefit of players and clubs. And as the league continues to grow, the level of detail and depth of its application are comparable with most setups in global soccer.
“The top 25 to 33 percent of clubs that I'm aware of are doing things at a pretty elite level, in my opinion, at least on par with a lot of other places in the world - which is, which is awesome to see,” Adam Parr, head of performance science at Charlotte FC, told GOAL.
American soccer has been toying with sports science for some time, earlier than most leagues around the world. While England’s top flight was often stuck in its traditional ways and other European leagues took their time, MLS has been a breeding ground for experimentation. Some of the world’s best sports scientists and recovery specialists are operating in the league. Part of it is the relative youth of MLS, but most is the thirst of owners to build an infrastructure that aligns with the best the world can offer.
Some of the technology is highly advanced. Gone are the days of basic heart rate monitors. Now, all MLS stadiums are equipped with motion-censor cameras that track player data in real time. Predictive technology, blood testing and even AI can build a complete picture of a player in milliseconds. Using that information, clubs then look to maximize performance.
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