When a Swimming Analysis Returns Empty: Data Gaps and Lessons for Vietnamese Sports

When I opened the swimming analysis that had just been handed to me, my first feeling was not confusion but amusement. The document was three pages long, with all the expected sections: technical analysis, performance, rules, anti-doping, industry impact. But every field said the same thing: cannot be assessed. There was no athlete name, no competition, no metric. An analysis full of “N/A” is a paradox: so much information about the absence of information, yet not a single piece of data to work with. I have written many stories about the limits of human performance in sport. I have travelled from Bangkok to Sochi, watching final sprints and goals created by half a step. But an empty document is also a kind of story. It shows that the data-collection stage stopped before analysis could begin. In an era when everything can be measured by sensors, having no data means someone did not press the stopwatch, did not turn on the camera, did not take notes. Swimming is a sport of milliseconds. A small mistake at the start, a missed breath, a hand touch half a metre late — all of it changes the ranking. Without data, people are left to clap based on emotion. In fact, Vietnamese swimming is at a stage where it needs the most detailed analyses. Across recent SEA Games cycles, Vietnam has produced swimmers who can compete at regional level. Nguyen Huy Hoang made his name very early, Tran Hung Nguyen has been consistent, and a new generation of young swimmers is constantly emerging. But that does not mean they are covered by a synchronised data system. Training sessions still rely mainly on the coaches’ experience. Distance counts, stroke frequency and underwater technique analysis are largely not made public. When a stage-two analysis can only answer “no information”, that is not a story about one meeting room. That is a wake-up call for the whole system. The question is: what should a proper swimming analysis contain? First, it must describe the start and the underwater phase. In modern swimming, the underwater glide after the start can decide positions before the 15-metre mark. No elite swimmer completes the whole race with old technique. Strong teams look at how far swimmers dive, how many dolphin kicks they take, and whether the moment they surface costs them momentum. An analysis can only be meaningful if there are underwater cameras and force sensors. Next comes the turn and the wall touch. Many swimmers lose because of poor turns, not slow strokes. They lose 0.3 seconds on every turn, multiply that by the number of turns and it becomes an impossible gap. Writers need data on wall-touch time, rotation direction, and leg push. Without those numbers, any statement like “good turn technique” is just an impression. An analysis must also place a result in its proper context. Swimming in a long-course pool is different from swimming in a short-course pool. Water conditions, altitude, salinity, temperature and swimsuits all matter. Without context, 48.72 seconds at a regional meet cannot be compared with 48.90 at another. That is why I always say: “I do not read the results table. I read the path in their eyes.” Numbers are the consequence; movement and feel for the water are the cause. At career level, a deep analysis must identify where an athlete is on the development curve. A 19-year-old with steady results is not the same as a 27-year-old. Younger swimmers can jump forward because of age and physical growth; older swimmers must rely on tactics and experience. I once spent eight days in Kenya following a young woman who ran 800 metres without a coach. She had only a stopwatch and a notebook. The world had stopped competing at that moment, but her trajectory was still moving. A crisis can take away the arena, but it cannot take away the orbit. Analysis also cannot ignore governance. Anti-doping, biological passports, competition licences and age all need to be transparent. If information is missing, risk does not disappear; it is simply left behind. A natural reaction when receiving an empty document is to find another athlete to write about. But an ethical sports journalist will not do that. I remember years ago when I noticed a 400-metre hurdler running 13 steps between hurdles instead of the standard 14. Many colleagues said I was fantasising. The data that day was empty, but my instinct told me he was doing something different. Three months later he broke the national record. But if I had fabricated the story, I would have deceived myself. A writer’s instinct cannot replace data; but when data has not arrived, instinct must be patient enough to wait. In an environment where coaches become famous because of victories, they may avoid talking about data for fear of exposing limits. Emptiness can be a comfortable form of safety: if you publish nothing, you do not have to defend any view. But that makes sport lose the most precious thing: the ability to learn from mistakes. A slow start that is never recorded will be repeated. An inefficient turn that no one looks at directly will become a hard habit to fix. Elite sport is not only about sweating; it is about sweating in the right place at the right time. Some people say Vietnamese sport does not need written analysis; it only needs medals. I disagree. Medals are the result of thousands of morning practices before sunrise, but they are also products of decisions based on information. When the document is empty, do not rush to blame. Treat it as a reminder: any sustainable system must learn how to keep records. A hurdler does not ask how high the hurdles are. He only asks where the finish line is. The path to the finish line for Vietnamese swimming begins with a data store updated every day.