How Data Analytics is Used in Mixed Martial Arts

How Data Analytics is Used in Mixed Martial Arts

Given the considerations mentioned above, athletics, along with their managers and crew members, spend a significant amount of time outside the cage and in fron

In Mixed Martial Arts (MMA), fighters frequently depend on traditional, strenuous training to enhance their abilities in one or more martial arts. Most days were spent in the ring, exchanging brutal blows and suffering direct attacks. Soon it became clear that training alone was insufficient. Understanding the techniques and skills of the opponent was more crucial since, without learning to defend against an opponent, the likelihood of suffering a blood clot or breaking a limb was much higher. Not to add, winning the championship becomes an unattainable goal.

Given the considerations mentioned above, athletics, along with their managers and crew members, spend a significant amount of time outside the cage and in front of computers, sorting through various types of data to understand what an opponent does. Everything is being examined to effectively counter it, from an opponent's fighting style to the protein shake they consume. Currently, it is not sufficient to know which combatants prevailed and how they did it.

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A match's probability is calculated.

But simply gathering this information was insufficient to determine the outcome. A binary logistic regression model is used for the data to determine which factors are most important. They concluded that the most crucial considerations are the force of a blow, the target of the attack, the distance between the opponents, and the type of blow (kick or punch). Additionally, teams have concentrated on several other statistics, including the precision of hitting, movement pattern, takedown accuracy, and tempo of a fighter.

Power strikes, non-power strikes, and jabs were the three categories under which strikes were once separated. The MMA community came to the opinion that power strikes do not always result in a significant injury to an opponent or end fights after carefully examining all three attacks. Due to this, the category of powerful attacks incorporated a fourth strike, which might be a straight jab that, when delivered at the correct body part and velocity, can end a match. The actions of fighters in the ring have changed due to these minute details in the fights opening the door to a new world of data analysis. Fighter can better comprehend their opponent's strategy by using this study.

Moving on, understanding an opponent's fighting style is not sufficient to win a fight. In recent years, scatterplots have primarily been utilized to comprehend the style, technique, and changes a fighter made throughout their whole career. Examples of these indications are the match's length and the game's outcome. Additionally, multivariate analytical techniques are being utilized to assess a fighter's career, which considers performance markers and provides the right ranking.

The sleep pattern is observed to determine whether a fighter can get the minimum seven hours of sleep necessary for all humans despite a demanding training regimen and injuries. While a fighter's physical talents are not compromised by lack of sleep, their ability to perform at their absolute best during a battle is.

Analyses of the correlation between sleep and performance, as well as statistical analytic tools, are used to predict a fighter's chances of winning. Lack of sleep can also impair a fighter's immune system, psychomotor abilities, and cognitive abilities.

Last but not least, MMA or the UFC, in particular, creates a significant amount of video data, between 10TB and 15TB every battle, which is recorded by 30 cameras from a variety of angles. It took a long-term storage method called Linear Tape-Open to store this vast data volume. Due to the slow pace of communication, it wasn't easy to recollect the data. UFC switched to Quantum's Lattus system to store its information, which can export a 15-minute bout in just 30 seconds. This has allowed them to analyze information fast and draw conclusions from it.

With the way MMA has developed technologically over the years, particularly with the proper application of data analytics, the already fast-paced sport is sure to accelerate even more thanks to the cage's smooth operation. The organizational entities have a strong incentive to give those addicted to television and computer screens an engaging viewing experience. Not to add that the accessibility of enormous amounts of data will undoubtedly lead to future increases in sponsorship from major corporations.

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