Big Data Analytics Capabilities In Boxing

The growing role of machine learning is changing our lives in one way or another. Large amounts of information became available instantly and changed this world forever. Whether you are taking the train or driving around the city, or just turning on a program, the information affects you. Companies large and small have been using machine learning to increase efficiency for quite some time, and now it"s the turn of sports. The NBA, NFL, and Premier League have already incorporated computer analytics into their activities. From the outside, it may seem that this does not apply to boxing.

Boxing is actually a rather archaic sport. There is a strong culture of tradition here, which is quite an obstacle to modernization. After Mayweather"s fight against Pacquiao in 2015, the public"s role in boxing has declined, and MMA"s role (mixed martial arts), leading to boxing in terms of analytics, has increased. The average age of boxing fans has risen to 50. The audience is aging, and so is the fan base. Computer technology can help stop this process.

The main way to do this is through active fan engagement - people who were born between 1980 and 2000 demand quick access to information. Statistics of strikes delivered and received in real-time, the speed of strikes, how many times the fighter hit the head, and so on ... It is possible to follow the action on the screen. This measure will increase the influx of young fans, revitalize the sport, and make information more accessible to a wider audience.

How is this implemented?

The NBA uses high-tech video cameras to detect player and ball movements up to 25 times per second. Data is collected and analyzed, based on which certain tactical and strategic decisions are made. Similar cameras can be installed on boxing rings to provide operational information to all those in need.

Impact of machine learning on boxing

Machine learning has an impact not only within sports arenas. New technologies are gaining popularity in the world of sports, changing the way athletes train, for example, such as Fitbit. Sensors and trackers will determine for trainers all the necessary data about a fighter to make the training process more effective.

Boxing is a tough and traumatic sport. Computer analytics can help reduce the risk of injury and injury here. If the risks are significant, the fight may be canceled.
With the maximum integration of analytics in boxing, there will be great potential for qualitative sports changes. Its relevance will increase, and the number of fans will increase. It is even possible to reduce competition with MMA and return boxing to the mainstream in the future.