Vietnamese swimming faces data hunger: When analysis reports return nothing but non-determined conclusions

I have stood beside the pool waiting for the 50-meter split chart after every race, only to receive a blank table. Numbers do not lie, but people who read numbers can. A data analysis report on swimming recently circulated within the professional community perfectly reflects that reality: every field from technical analysis, performance, competition system to anti-doping risk is marked not determined. It is not because the model is weak, but because the source data is empty. For more than 20 years of following swimming in Vietnam, I have noticed a clear boundary between the competition pool and the analysis room. At the pool, we have swimmers with real potential. In the analysis room, we do not have enough data to map their journey. This is not only about lacking underwater cameras or force plates. It is about our failure to turn every stroke into a measurable variable. Based on my experience watching national and regional swimming events, almost no public database stores split times for 50 meters, 100 meters, or 200 meters by stage. When a swimmer breaks a record, people remember the final number on the scoreboard. But the components of that number, such as turn time, underwater glide distance, kick tempo, and stroke frequency, are not recorded systematically. We celebrate results while barely understanding the road that produced them. This report shows a chain of identical responses at every level of analysis. At the technical level, there is no data on starts, underwater swimming, turns, or swimming efficiency. At the performance level, there is no basis for comparison with world records, Asian records, or season rankings. At the athlete selection level, there is no data to determine whether a swimmer qualifies for the SEA Games. At the career level, age, injury history, competitive psychology, and training load are all blank cells. Some may think that empty data naturally leads to impossible analysis. But the problem runs deeper. If we cannot answer when a swimmer is faster or slower during a race, we cannot reproduce their success. A miracle is only an unregressed data point. In swimming, if we want to find miracles, we must begin by collecting the smallest data points. The story of a young swimmer who wins a youth title and then disappears from the national scene is not unfamiliar. Media often calls it an unmanaged talent. But a data-driven perspective offers another explanation: we do not have the measurements to know when to increase training intensity, when to reduce load, or when to adjust technique. Without a data landscape, every breakthrough by a young swimmer may be just a lucky sprint. When the world stops spinning, I create my own data loop. Yet that can never replace a national data system running continuously. There is a paradox in how we view swimming in Vietnam. We say that swimming is a sport of water feeling, instinct, and moments of brilliance. We easily accept the story of a swimmer suddenly dropping five seconds with no data explanation. But in high-performance sport, a feel for water only has real value when it is measured with clear landmarks. Without quantitative data, people will confuse discipline with momentary luck. Looking at developed swimming nations in the region, they do not reach the race relying on inspiration. They build a data collection system from the club level, from youth events, from every practice session with underwater cameras and sensors tracking heart rate and velocity. In Vietnam, even building a standard performance ranking by event and age group remains a huge challenge. Giving coaches a tool to compare their athletes with peers nationally and internationally is still an unsolved problem. This article does not deny what Vietnamese swimming has achieved. On the contrary, those achievements show that we have good raw material but lack the right data-processing infrastructure. When a swimmer moves step by step toward continental arenas, data requirements become far stricter. We need to know their exact underwater distance, the distance covered with maximum efficiency at different speeds, and the moment the body starts to fatigue. If such information does not exist, preparation for a major event becomes based on generalized physiology rather than individualized data. The story of this empty analysis report may therefore be a significant milestone. It reminds us that data only dies when we stop asking questions. The first question is not about who will win medals at the next SEA Games. The first question must be why we do not have data to know who is truly ready for that glory. Vietnamese swimming needs a data revolution starting from daily training sessions. We need to standardize performance recording, store stroke frequency, breathing patterns, glide distances, and recovery ability between sets. There is no need to wait for an international event to collect data. We can begin with youth tournaments, the national team, and sports training centers. Swimmers train every day, and every session could generate thousands of useful data points. The painful truth is that those points are being wasted like swims no one times. I believe today's empty data is not a verdict against swimming; it is an invitation to start. Every shocking success has a portrait buried in old data. When we have never stored old data, we cannot find that portrait. The current generation of swimmers can certainly become Asian champions if they do not have to swim in the dark of missing data. What stops them is not a lack of talent, but a lack of a map drawn with data. When the sports world has already embraced data to optimize every movement, Vietnamese swimming cannot afford to keep swimming against the current.