Data Gaps Are Holding Back Vietnamese Swimming: The Problem Begins with Incomplete Performance Records

At a sports symposium in Ho Chi Minh City, when the question was asked—"What is the biggest data gap in Vietnamese swimming?"—the room fell silent. A young lecturer finally stood up and said, "We lack standardized data from grassroots performance tests." The problem is not about grand metrics; it is about the incomplete record sheets left behind after every training session. Vietnamese swimming has made notable progress at regional competitions in recent years. But compared with international standards, the gap is not only about physical conditioning or technique. The biggest gap is the data system. In many developed countries, each swimmer has a digital profile that follows them year after year: segment splits every 50 meters, stroke rate, turn efficiency, breathing patterns during each phase. Those numbers are not stored in coaches' memories but recorded, compared, and queried. In Vietnam, most performances are documented only as final results. A swimming result—for example, the final time—only tells you whether an athlete is faster or slower than others. It does not explain why. If we rely only on final results, we cannot know how many seconds were lost at the start, how many meters were lost on each turn, or how much stroke efficiency dropped in the final 25 meters. These missing pieces are precisely where modern swimming is won or lost. Swimming is a sport of hundredths of seconds. A world record can be set by improving average speed by just 0.4 percent. But to improve by 0.4 percent, the athlete must know exactly where they are weak. That is the role of technical data: measuring start time from the blocks to the first touch on water, measuring glide distance after each turn, measuring stroke rate and distance per stroke. Without these numbers, technical adjustments are guesswork. Data is also the foundation of race strategy. In a 200-meter freestyle, the rhythm of the first 50 meters is completely different from the last 50. If every race is recorded only as a single final time, we will never understand pacing. Some athletes start too fast and fade in the middle. Others save energy for a final sprint but lose too much time earlier. All of these stories live in the split curve, and that curve cannot be reconstructed if it is not systematically recorded. The challenge is how to record properly. Many facilities still use handheld stopwatches and handwritten notebooks. That can produce a final result, but not accurate splits. Good data requires sensors or slow-motion video analysis, plus a standardized protocol. The issue is not buying expensive equipment; it is building the habit of consistent data collection during internal testing. If provincial training centers and swimming clubs apply the same collection standard, the national data picture will gradually improve. Equally important is storing historical data. Swimming has a cyclical nature: young athletes may experience rapid growth, then plateau or decline due to psychological pressure, injury, or physical changes. Without longitudinal data, coaches cannot identify anomalies. A 16-year-old who improves by three seconds in the 200-meter freestyle over three months might be a wonderful sign, but it could also indicate dangerously rapid training volume. Without baseline data, we cannot tell whether it is sustainable growth or a short-term spike leading to injury. Data also has a role in transparent performance governance. In international swimming, unusual performances are inevitably linked to anti-doping questions. A nation that wants to prove a clean swimming culture must first be transparent with testing data. Where was a performance achieved, under what conditions, and is it consistent with a biological passport? These are not concerns only for regulators; they are part of the sport's culture. When data is complete, criticism or suspicion can be answered with evidence. When data is missing, rumors grow. There is an opposite danger: chasing data while forgetting the human dimension. Some places buy cameras and software without hiring people to interpret the results. Data does not speak for itself. It becomes meaningless if not placed in context. An efficient stroke for one athlete may be disastrous for another due to differences in body shape, flexibility, or technical habits. Therefore, data has value only when read alongside the athlete's own story. Professionals need to ask: where does this number come from, how was it measured, what is the margin of error, and what part of the athlete does it reflect? Vietnamese swimming does not lack talented people. What is missing is a system of recording and using data that helps those talents see themselves objectively. Imagine a young swimmer receiving a summary of stroke pace, turn efficiency, and heart-rate variability after every practice. They would not depend entirely on the coach's comments but could compare and adjust by themselves. That is the growth of sporting intelligence. It must be built from simple data forms today, not from a distant technological revolution. When the data transformation reaches sports, the winner will not necessarily be the best-funded national team. The winner will be the team that records honestly, stores patiently, and turns data into practical understanding. For Vietnamese swimming, the story begins with filling in the blank sheets after every practice. Only then can we have not just results, but a path to achieveresults. Swimming without data is only rumor. Swimming with data becomes a verifiable story.