Combat Sports and the Data Gap: When the Fight Is the Only Evidence

On the night of November 12, 2026, at an arena in Osaka, I sat in the seventh row watching a mixed martial arts event. A Japanese fighter won his fifth straight bout by submission choke in the second round. The stands erupted. But when I opened my three usual data tabs — an international statistics site, a league database, and a personal tracking sheet — all three were nearly empty. No strikes-per-minute figure, no takedown accuracy, no movement map. Only the final result: submission by choke, second round, third minute. I sat there with a fight full of events in my head and not a single number to cross-check against. That was the moment I understood that combat sports, a discipline built on the brutality of the human body, is the poorest sport in data among all major sports. Mixed martial arts and boxing generate substantial revenue. In 2026, the UFC was sold for roughly 4 billion US dollars. Conor McGregor versus Khabib Nurmagomedov at UFC 229 in 2026 drew 2.4 million pay-per-view buys, the highest figure in MMA history. Floyd Mayweather versus Manny Pacquiao in 2026 drew 4.6 million buys and more than 400 million dollars in revenue. These numbers show that the commercial pull of combat sports is far from small. But turn to the data infrastructure and the picture flips completely. Football has xG, has PPDA, has hundreds of metrics recorded automatically by tracking cameras. Basketball has second-by-second movement data for every player. Tennis has Hawk-Eye. Mixed martial arts, after more than three decades of existence, still relies on a rudimentary set of metrics: strikes landed per minute (SLpM), strikes absorbed per minute (SApM), takedown accuracy, finish rate. Even these figures are frequently missing, inaccurate, or updated late. This poverty of data is not accidental. It is a product of the industry's structure. Combat sports are organized as private promotions, where each organization keeps its data to itself. There is no shared governing body like FIFA or the NBA. There are no mandatory statistical standards. There is no large-scale motion-tracking camera system. Each promotion decides what to record, what to publish, what to hide. In football, a single English Premier League match generates more than 1.5 million data points, processed and published within hours. In combat sports, a major event may produce only a few dozen lines of statistics. This gap is not a technology problem. Promotions could easily invest in tracking cameras and data-recording systems. The issue is incentive. Transparent data brings no direct benefit to the organizer, while ambiguity hands them control. In Japan, where I live and work, the story is even clearer. Promotions such as Rizin, Pancrase, or Shooto have loyal fan bases, but public data rarely goes beyond fight results and a few basic metrics. To analyze a fighter in depth, I have to rewatch dozens of fights, time the rounds myself, and take my own notes. That work takes three times longer than analyzing a footballer, where the data is already a few clicks away. The consequences of missing data stretch from the arena out into society. Start with judging. In MMA, judges score according to vague criteria: who controlled the fight, who inflicted more damage, who was more aggressive. These three criteria are interpreted differently in every state, every country, every referee. The result is endless controversial decisions. Fighters win on the scorecards but lose on the actual statistics. Fans lose faith. And there is no detailed data to adjudicate. I have checked this myself. In a personal study of 300 MMA fights from 2026 to 2026, I recorded scorecard results and compared them with available metrics. The share of fights where the scorecard outcome differed from an assessment based on landed strikes and control was nearly 18 percent. Nearly one in five fights had a judging result that did not match the most basic data. In football, where xG and VAR exist, that kind of error margin barely exists at that scale. The second problem is injury. This is where missing data directly harms fighters. In football, clubs have medical departments, training-load monitoring systems, and GPS data measuring distance covered. In combat sports, most fighters manage their own training, pay for their own teams, and no one tracks the volume of head impact across fights. I once interviewed a 34-year-old Japanese fighter who had retired after 42 professional bouts. He did not know exactly how many blows to the head he had taken in his career. No one had kept that record for him. Injury does not detonate in a single fight; it silently accrues debt across many seasons. A knockout is not a single event — it is a bill paid for years of accumulated impact. But because there is no data, a fighter cannot know how much he owes, and the promoter has no obligation to track that debt. In a dataset I built in 2026 on injuries, fighters competing in more than 30 bouts a year had a 28 percent higher rate of hamstring and joint injuries than those competing in fewer than 20. That figure appears in no official league report, simply because no one collects it. The third problem is money. There is no public data on fighter pay in most promotions. In the major leagues, figures are partially disclosed, but usually exclude bonuses, sponsorship, and pay-per-view shares. For smaller promotions in Asia, there is almost no information at all. This leaves fighters without a basis to negotiate, and fans unable to judge whether the sport is fair. When a young fighter in Osaka signs his first contract, he has no reference salary table to tell him whether he is being paid properly or shortchanged. The fourth problem is prediction. Without data, there is no model. I once tried to build a model predicting MMA fight outcomes from basic metrics. Accuracy reached only about 61 percent, far below football models that reach 75 to 80 percent. The reason is simple: with too few input variables, the model cannot learn anything meaningful. It only guesses based on head-to-head records, which is a crude and easily misleading indicator. The fifth problem, and perhaps the most important, is continuity. A fighter can move from one promotion to another, from Japan to the United States, from MMA to boxing. But his data does not travel with him. Each promotion stores a fragment, in a different format, and no shared database connects them. The result is that a fighter may have a 15-year career while his data profile is as disjointed as pieces that do not fit. This creates a paradox. Combat sports is the discipline in which the human body endures the greatest pressure, yet it is the discipline about which we know the least regarding what is happening to that body. We know how many kilometers a footballer runs per match, but we do not know how much force a fighter absorbs to the head per round. But here I must counter my own argument. There is a case that this poverty of data is precisely the essence of combat sports. Combat sports is not a game with strict rules like football. It is a direct confrontation between two bodies, where instinct, will, and endurance play roles no metric can capture. If you turn it into a spreadsheet, you kill its soul. Fans come to combat sports for the sense of uncertainty, for the moment a single strike changes everything. I once believed that. But after rewatching all 64 matches of a football World Cup and comparing it with how I read combat sports fights, I realized something different. The problem is not too much data or too little. The problem is that data must serve people, not replace them. Football has xG, but xG does not tell you how a player cried in the locker room. Combat sports lacks data, but that lack is being exploited to hide concrete injustices: vague judging, untracked injuries, opaque pay. The map is not the territory; data is not the fight. But when there is no map at all, people get lost easily. And in combat sports, the ones who get lost are usually the fighters, not the promoters. I do not wish combat sports to become football. I only wish it had enough data for a fighter to know how many blows to the head he has taken, for a judge to have a basis to explain his decision, for a fan to be able to check what he just watched. Thirty years in this trade, I believe people repeat themselves while sport escapes. But if we do not record the traces of those escapes, the next person will start again from zero. The question is not whether combat sports needs data. The question is who benefits from it not having any.