VMM 2026: Two Crowns Among 5,300 Pairs of Legs, and the Rain That Rewrote Every Coefficient

At 8 a.m. on September 18, 2026, at the start line in Sa Pa, the organisers of VMM 2026 released the 100-mile and 100 km waves onto the mountain at the same moment. Among more than 5,300 pairs of legs from 54 countries, only two people would be called champions: one over 100 miles, the equivalent of 161 km, and one over 100 km. The rest, more than 5,298 human beings, entered a contest in which the real prize was not a trophy but returning intact. I sat in front of a screen in Liverpool, more than nine thousand kilometres from Sa Pa, reopened the course elevation profile and stopped for a long time on one small detail: it is a sawtooth. Not a single mountain and then a descent. Dozens of peaks strung together, each one just far enough from the next that the legs never settle into any rhythm. After nearly four decades in the business of reading sports data, I learned a lesson rather late: the most beautiful numbers usually sit exactly where people do not want to look. At Sa Pa, that place is mud. VMM 2026 runs from September 17 to September 20, 2026 in Sa Pa, Lao Cai province. Sitting inside the World Trail Majors system, the race has stepped out of the frame of a local event to become a mesh point on the global ultra-trail map. The figure of 54 countries is not decoration for a nice-looking field. It is a statement of standing. This season, the weather rewrote almost the entire book. Record rain turned slick rock slopes into traps, turned descents into natural mud slides, and on many bends forced the organisers to string fixed ropes for runners to grip. Fog ate into visibility. These are the conditions under which every forecasting model built on historical data has to bow its head. I spent years analysing performance metrics in football, from expected goals to passes allowed per defensive action, and I have always believed that a good metric must answer one question: does it change the outcome of the match? With VMM 2026, that question changes shape. It is no longer about who runs faster, but about who holds their physical structure together longer inside an environment that keeps breaking structure down. Let us talk about 161 km. In analysis I often compare distances with a simple division. If a road marathon is 42.195 km, then 100 miles is close to four marathons back to back. But that multiplication by four is a convenient lie. Running four marathons on flat road with four evenly spaced aid stations is one story. Running 161 km on a sawtooth course, in rain, through mud, is a different story in kind. Difficulty here does not add up. It multiplies. And this is the most interesting part for anyone who works with data. In dry conditions, a mountain course rewards climbing speed and even endurance. In wet mud, the order of priorities inverts. Descending technique, the ability to place the foot, hold the centre of gravity, accept a controlled slide, becomes the largest variable. Good climbers lose their edge. Good descenders are repaid many times over. A record rainstorm, technically speaking, is a full re-selection of the standings before anyone has touched a medal. When the ground turns to mud, the numbers start learning to crawl. There is one detail in the course data I keep returning to. On the steep sections with fixed ropes, runners are no longer running; they are climbing. Between running and climbing lies a biological boundary. The thigh muscles work differently, the heart rate responds differently, and the brain must switch from rhythm mode to step-by-step decision mode. Every metre of that kind is not measured in seconds but in one decision. In a 161 km race there are thousands of such decisions, and the difference between the champion and the third-place finisher is not the strongest legs but the brain that makes the fewest errors. I am too old to believe in miracles, but young enough to know which miracles can be measured. The second notable thing is the structure of the field. More than 5,300 people from 54 countries, but only two titles. That ratio, roughly one in 2,650, is not a statistical error. It is the nature of a mass ultra-trail event: most participants do not come to win. They come to finish. In the world of sports data we are used to measuring in medals and records. There is one metric that rarely gets a name, and it is the finish rate. A race like VMM lives on that metric, not on its title. And if you want to understand why an event in Sa Pa draws people from 54 countries, look at that metric rather than at the roll of honour. I grew up in Vietnam and work in England, so I have a habit of looking at events like this with two eyes. The first is the insider's eye, which understands that mountain running in Vietnam has never been an easy sport to fund, and that every race that gets staged is an effort. The second is the outsider's eye, used to European trail events run like industrial machines with broadcast contracts, satellite data and real-time tracking systems. The gap between those two eyes is precisely the gap a race like VMM is trying to close. Its entry into the World Trail Majors system is a concrete, verifiable step of closure, not a slogan. And here I want to talk about one specific figure. Actor Nhan Phuc Vinh is taking part in VMM 2026, and has been recognised by professionals as a genuinely capable trail runner within artistic circles. I do not have his detailed performance data to analyse him in a technical sense, and I will not pretend otherwise. But I am interested in something else: the media effect. The presence of a familiar face on a 100 km or 100-mile course can pull in thousands of people who are new to the sport. In industry language, that is a transmission channel, a way of turning an individual performance into a social signal. Major European trail races have used this strategy for years. For VMM to secure a figure like that is a communications advantage, not a sporting one, and it should be read exactly as such. There are things data never touches, such as the way a mountain breathes. The online public has repeatedly expressed excitement and admitted admiration for the runners' endurance. That reaction is understandable and partly reasonable. But it also marks a line I often remind myself of when I sit down to write: admiration is an emotion, not a data point. When a story reaches its emotional peak, the data writer's job is to cool it down and start counting. So let us count. Fog limits visibility on the ridge sections. Rain slicks every slab of rock. Descents turn into mud slides, and fixed ropes become the last safety option. These are not details used to paint drama. They are variables that directly affect the outcome of the race, and at the same time they are the factors that push injury risk to its highest level. In injury analysis I learned that risk rarely comes from one single factor. It comes from accumulation: fatigue, plus lost concentration, plus a slippery surface. VMM 2026 is an equation with all three terms present, and that is why the organisers must place safety ahead of performance. There is an angle I believe gets overlooked. People call VMM the harshest marathon in Vietnam. That is an appealing label, but it needs to be dissected carefully. It is right in feeling, not necessarily right in measurement, because harshness is a relative concept depending on distance, gradient, the weather of a given season and the condition of a given person. A record rainstorm can make one edition harder than every edition before it. But it does not automatically turn this year's champion into the greatest champion in the race's history. It is a classic reasoning error: correlation is not causation. The same holds for the title itself. When the results are published, we will tend to attach moral qualities to the champion, endurance, will, character, far beyond what the data permits. But read closely and most of the difference between first and second on a course like this lies in small decisions: fuelling at the right moment, not burning too much on the second climb, knowing when to slow down. A champion is not a hero in a film. A champion is the person who makes the fewest mistakes in a logic test lasting nearly a full day. Every dataset is a garden, the grower plants questions and the harvest is answers. In Sa Pa I planted a simple question: how much does a record rainstorm reshuffle the standings? I do not have the answer yet, because the results are only announced on September 19, 2026. But I know what I will watch. It is the time gap between first and tenth at the checkpoints. If that gap stretches abnormally on the descents, the weather genuinely played the decisive role. If it stays as stable as in previous years, then the record-rain story is mostly a media story, and we should tell it as such. And here is the last thing, perhaps the most important one for me. Among those 5,300 people, some run to break a personal record, some run to finish for the first time, some run to face a private pain nobody on the course knows about. No data model, however beautiful, can capture that. But that is precisely why we need data: to let reason carry part of the emotional load, and to show people that behind every number there is always a person trying to take one more step. All my life I chased the ball, but what I was really hunting was the formula for longing. On September 19, 2026, two names will be called in Sa Pa. I will not rush to call them heroes. I will wait to see what the gap between them and the crowd looks like in the data, and whether the record rain truly rewrote the standings or merely rewrote the story people tell about it. If you follow VMM this year, try once not to look at the leaderboard. Look at the gaps between checkpoints. There is more truth there than in any commentary.