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Why Big Data Alone Can't Predict Injuries in Sports

CIOInsider Team

Consider a sportsperson who stepped off the boundary has lost to the other team in a football match. Rather than calling it a day, what if the person has an opportunity to look into the moves that and improve? Technology has advanced so much so that embedding analytical tools to track the performance and moves of a sportsperson could immensely contribute to develop and hone their skills.

Though this utilization of technology is not new in the statistics-depended sports leagues like the NFL, one facet of the big data analytic tools in sports field has probably hit a wall. Apart from depending on anecdotes and intuition, sports

people can efficiently utilize the data that points the position and movements of the player to examine and improve every aspect of the game. The practical applications have raised hope for better decision making of coaches as well. By reviewing the statistics of movements made by the opposition team, coaches can train their team with various tactics. As per the recent studies in the field, NFL further hopes to bring down concussions, pains, and other injuries during the football match. League engineers are seeking assistance from Amazon Web Services to integrate machine learning and artificial intelligence capabilities with the player data in an effort to figure out in-game situations that could lead to injuries.

In a sport like football, predicting injuries are really a hard task though the NFL and Amazon have a large pool of resources at their disposal to read from. There are millions of possibilities that could lead to injuries, making it hard to picture an obvious route for the system. As per the research, one player might have five attributes that could lead them to an injury but still escape from getting hurt. NFL’s Next Gen Stats, which are microchips placed in pads to capture location, acceleration, and speed data of every player could possibly harness the capabilities with AWS partnership. But still, it would not collect data on how hard the body parts of the player are hitting the ground or other players.

As NFL reveals, their employees have spend hundreds of hours on game foot ages and helmet impacts to identify locations that lead to injuries. It has resulted in change of rules in preventing goals and kickoffs. The football league can hope for the best use of advanced technology to pay efforts that prove injury prediction and prevention effective. Such advancements can then be utilized for other games in advancing their sporting methods and engagements.

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