An Empty Analysis Is Still Data: Lessons from Vietnamese Track and Field

At 9:17 AM on Wednesday I opened a spreadsheet. Seventeen columns were pre-built: athlete name, age, event, result, wind speed, altitude, competition coordinates, season score. Everything was empty. No figure had been entered. Not one name had been typed. My athletics analysis file, after hours of waiting, had returned like a blank sheet of paper. To a sports journalist, an empty analysis is usually thrown into the trash. No event, no drama, no story. But I stayed. I knew this emptiness did not come from having nothing to say. It came from the fact that Vietnam's athletics recording infrastructure is still not large enough to capture what is happening on the running track. For me, a gap in data is always a more honest signal than a beautified number. At forty-one, after twenty-five years sitting between the newsroom and the analysis room, I learned one thing: reputation cannot replace verification. We can remember an athlete's name, remember the color of a medal, remember the moving story of a girl rising from hardship. But we cannot remember the lap splits, the wind speed at the moment of a record, or the stride cadence at each kilometer. We love with our hearts, but I need to see the data behind that love. I looked back at my own path. In 2026, when I published a series using the xGA metric to expose a defense that had a good reputation in V.League, I was called a cold-room guy. Not long after, that team lost in a continental arena exactly as the data had predicted. In 2026, when I said Germany would be eliminated in the World Cup group stage because their pressing metric, PPDA, had declined, I was mocked. On June 27, 2026, Germany lost 0–2 to South Korea. Data defeated reputation. The story of today's empty spreadsheet is part of that same line of thinking. Before going further, I want to make something clear: this is not a results story. No medal was awarded, no record was broken. This article is about infrastructure, about how we record, store, and narrate our own running sport. A country can have excellent athletes, but if there is no data system to certify them, that excellence will wear away over time like paper without ink. Vietnamese athletics does not lack talent. We have endurance runners among the top in Southeast Asia, record holders who have stood on the highest podium at SEA Games. But after each tournament, results usually sit in a medal table released by the organizers, captured by a phone, then rest quietly inside a PDF. Nobody decomposes that result into variables: kilometer splits, stadium altitude, wind speed, stride cadence, heart rate at key points. Nobody compares it against the athlete's previous string of results across seasons. As I often write, a record is not magic; it is an equation. And an equation has no solution when the input data is missing. I once heard a coach say: this kid has talent, just needs one more year of training and she will break the record. I asked: based on what metrics? He looked at me as if I had asked a silly question. For him, talent was something sensed through the eyes, through physique, through trial runs. I did not reject that way of seeing. A coach's feeling is a form of qualitative data with its own value. But it cannot replace quantitative data. When a coach says faster, I need to know faster by how much. When an athlete says tired, I need to know tired at which lap, at what speed, with what heart rate. Without those numbers, every story is just anecdote. Numbers never lie. They only wait for someone sober enough to listen. But to hear numbers, first there must be numbers. I have many times proposed a common data repository for national athletics: a place storing official results, weather parameters, technical parameters, physical condition, injury history. Each time I proposed it, I received a polite nod. Then no one followed up. Not because they did not want to, but because no one was assigned the responsibility. In a system where investment in data infrastructure is not counted as investment in performance, my spreadsheet stays empty. I remember what I saw at youth tournaments. On summer days, at provincial stadiums, hundreds of junior athletes ran with all their might. There were no electronic timing systems at every split point. Many tournaments still relied on handheld stopwatches. Results existed only on a handwritten list. How many talents slipped out of the memory of time simply because no one pressed a button to record them? No one can measure that. And because we cannot measure it, we tend to believe it is zero. But a gap in the data table does not mean there is nothing. It means we do not yet have the tools to see it. Before believing in reputation, I need to see the data behind it. I repeat this sentence whenever I train young journalists. A sports reporter arrives at the newsroom with a victory story and a photo of an athlete smiling and holding a medal. I ask: what number made that victory? She looks at me and says: a time of four minutes ten seconds. I ask again: how does that time compare with the athlete's previous results, with her rivals in the same meet, with the regional standard? She goes silent. Not because she is lazy, but because there is nowhere to look it up. The data is scattered, unstandardized, unconnected. She cannot tell the story with numbers when numbers do not exist in an accessible form. I used to think the problem was technology. Now I understand the problem is deeper: it is culture. We do not yet regard data recording as part of the running craft. A coach holds a stopwatch at a speed test, writes a figure in a notebook. Three months later, the notebook sits in a drawer. No one reads it again. Athletes feel their performance is judged by medals, not by the numbers of each training session. Managers want a results report at year-end, but no one asks for a process report. So everything keeps flowing. And when analysis is needed, my spreadsheet is empty. PPDA did not take me to Russia. It only opened the door; I walked through it myself. The real story is this: in 2026, I was sent to Russia to cover the World Cup. People thought I had arrived by some chance. But I knew I got there because years earlier I had built my own PPDA spreadsheets from available data, filling empty cells through patience. The door opens only once. Whether you step through depends on what you carry: a habit of recording, a standard of verification, a way of looking without hurry. Vietnamese athletics needs exactly that kind of luggage. Imagine a national data repository with just a few basic columns: athlete name, club, event, result, date of competition, wind, altitude, location, level of meet. That alone would change how we see this sport. When a coach says a young athlete is promising, we can open the repository and see where that athlete stands compared with the same age group in previous years. When an athlete is praised as a new hope, we can verify by sequence, not by emotion. When a record is set, we can see under what conditions it was made. It all begins with filling in the empty cell. There is a mistake I often see in newcomers: they think no data means no story. In truth, no data is itself a story. But it must be written correctly. You cannot use an athlete's personal story to fill a data gap and call that analysis. Nor can you invent plausible numbers to make the article look good. Writing about a data gap requires humility: saying clearly that we do not know, that we need more information, that the question remains open. This may sound weak, but it is actually strong. A sports journalist who can say I do not have enough data to claim something is more credible than one who projects legend onto a number that does not exist. I worship data, but I pray with real-world verification. That means I do not believe a number just because it is printed in a ranking. I believe a number when it passes layers of checking: with what tool was it measured, where, when, under what conditions. Once, a team manager proudly showed me a young athlete's 1,500-meter time. I asked: at what meet, on what track, with what wind? He laughed and said I was too difficult. I was not being difficult. I know that in athletics a favorable wind can carry an athlete to a time that cannot be repeated three days later. If we do not record wind speed, the number deceives us without anyone knowing. There is another layer of data we often ignore: data about absence. I call it negative data. When an athlete is injured and misses a meet, that absence does not appear in a results table. But it affects the whole picture of a season. When a coach is changed midway, data about the strategic shift also does not appear in results. When a youth training center lacks funding to attend a national tournament, its best athletes also disappear from the lists. A perfect data table records not only what happened, but also marks what is missing. My empty spreadsheet is actually a negative image of a system missing many pieces. A season should be read as a sequence of probabilities, not as a sequence of events. I like that phrase because it reminds me that the result of one day does not say everything. A champion may peak exactly at the right moment, while the runner-up may have a sharper development trajectory. If we only look at the sequence of events, we will be wrong. If we look at the sequence of probabilities, we see a long-term equation. For that, we need data from many seasons, many races, many conditions. Without a data repository, we cannot read a probability sequence. We only see scattered dots on a page. Another story I often mention concerns rhythm. An endurance runner habitually starts too fast. If we only see the final result, we see she finished third. But if we look at lap data, we see she led in the first kilometer, faded in the third, and was nearly caught in the last kilometer. The problem is not fitness; it is pace distribution. To see that problem, we need split data. Without data, the athlete will repeat the same mistake for years. The coach will think she needs more mileage, when she actually needs to run smarter. Data does not fix errors, but it points to the exact place to fix. I want to tell a story about Nguyen Thi Oanh. Not because I have a full data sheet about her in front of me. To be honest, I do not. I know her as a symbol: a small woman, extraordinary effort, many times on the highest podium at SEA Games. But precisely because she is a symbol, I want data to understand why she is extraordinary. How does she begin each season? In which month does she peak? Which training sessions created a leap in results? Which races showed her true limits? If I had answers from data, I could write an analysis with real depth. For now, I can only write generic praise. That is not what I like doing. Reputation is fragile. It is created by public memory, by articles, by social media comments. No one wants to shatter a beautiful image with a dry question: what number certifies this image? But if we do not ask, the beautiful image cannot stand under the pressure of a major competition. I have seen too many times: a big hope inflated by media, then broken by limits that data should have seen from the start. If from the beginning we placed real results, form charts, and regional competition levels side by side, we would have a more honest story. No one is protected from the shock of a baseless expectation. There is a question I always ask myself: if there is no data, what are we protecting? Are we protecting a beautiful story? Are we protecting the comfort of not facing reality? Or are we protecting a system that is not ready to be examined? The answer may be all of those. But avoiding data does not make the story more durable. It only makes the collapse, when it comes, more bitter. On the contrary, bravely recording what we do not know is the foundation of a mature story. I remember an evening in 2026, when all stadiums were empty because of the pandemic. I sat alone in front of a screen, comparing data from matches with and without spectators. The result showed that home advantage was inflated by a startling margin. No one came to the stadium to create what we called atmosphere. That atmosphere lived in numbers: faster passes, more shots, more possession. When spectators disappeared, the numbers became pure. I heard what twenty thousand people had once drowned out: data. Empty stands let me hear something twenty thousand people used to drown out: data. And I asked myself: why have we never created that kind of silence in athletics to listen to our own numbers? Why, after each tournament, do we rush to publish celebration articles instead of stopping to read the results table carefully? Why are we afraid to face a declining form chart for an athlete who was once a nation's number one hope? Perhaps because that confrontation forces us to change the way we think. And changing the way we think is the hardest thing. From the seat of a longtime analyst, I think the data gaps in Vietnamese athletics can be divided into three types. The first is harmless: friendly races and internal tests where results do not need wide publication. The second is controlled: data in coaches' hands, used for professional work, not necessarily public. The third is unstable: results from national tournaments, youth meets, and provincial competitions—the places that should be the foundation of the system. The third gap is what worries me. If we do not know how fast our young athletes are running, we do not know where to invest. Imagine a talent map of national athletics redrawn after every season. On that map, each province is a data region, each athlete is a moving point. Some points shine clearly, some fade, some have no data because no tournament was held. This map lets managers see where talent is produced and where it is wasted. It lets coaches compare their students against athletes of the same age group nationwide. It lets journalists write evidence-based analysis instead of vague praise. That map does not need advanced technology. It only needs a responsible person to type data into a spreadsheet once a week, after each tournament. We can do it. The question is whether we want to. There is a reason I never throw away an empty analysis file. An empty file tells me one clear thing: my process has reached a limit. The process is not bad. It is simply standing before a wall of missing data. If I ignore it, I will never know where the wall is. If I look straight at it, I can begin to find a way to climb over, break through, or go around. The only way to turn an empty space into a door is to accept it as part of the story. A good sports writer is not someone who always has an answer. A good sports writer knows which questions are worth asking and which answers are missing. An empty analysis, written honestly, asks exactly that question. It tells us: Vietnamese athletics has talented athletes, but we do not know where they are on their own development curve. It tells us: a national record is not a terminal point, but a milestone in a long data string. It tells us: build the data repository before building the monument. I am not saying everything in Vietnamese athletics is dark. On the contrary, there are many bright signals. SEA Games medals are bright signals. Youth training centers with more medical staff are bright signals. Coaches who listen to sports science are bright signals. But bright signals need to be recorded as data to be repeated. Without that, they are just isolated bright points in an empty region, easily forgotten when people change, when budgets change, when audience attention moves elsewhere. I want to end this article with a vision of a morning not too far away. A spreadsheet is opened, and this time it is not empty. It has the name of a young athlete from a mountain province, a result from a provincial tournament, a careful note of wind speed, a heart-rate chart from the past three months. A coach sits there looking at the spreadsheet and smiles. He does not need to say a compliment. The data has told the story for him. That child will be tracked, compared with athletes of her age, protected from baseless expectations. Not because we want to turn sport into a dry machine, but because we want each medal to have a truthful biography. The next step does not need to be big. It needs a decision: treat data as part of achievement. Then assign one person or a small team the responsibility of recording. Open a spreadsheet, create standard columns, unify measurement methods, publish wind speed, publish altitude, publish split information. These things do not cost much money. But they cost something more expensive: discipline. If Vietnamese sport wants to go beyond fleeting emotions, that discipline is the first medal to win. Today I still open the spreadsheet and find it empty. Tomorrow I will open it again. I do not know which name will appear first, or which number will fill the cell. But I know that sitting here, facing the empty space, is not useless. A data analyst does not create records. The analyst lights a lamp so records do not fall into oblivion. The running itself still belongs to the athlete. Data opens the door, but the runner is the one who walks through. Let the data repository be built before the story of great footprints is passed down.