When Data Is Empty: Lessons for Vietnamese Football Media

On Monday morning, I opened an analysis document sent by a colleague. The file name was ambitious: “Stage-2 Deep Professional Analysis”. I expected a treasure trove of statistics about opponents, tactics and finances. But the main body was empty, repeating one sentence: “Insufficient data, cannot assess.” At first I was frustrated. Then I realized: this was one of the most honest sports documents I have ever read. The analytical framework contained nine layers – tactics, finance, results, league hierarchy, rules, dressing room, risk, media and the wider football ecosystem. An article does not have to cover all nine layers. But it needs small building blocks to construct any layer: minutes played, expected goals, injury status, contract clauses, public pressure levels. When there are no building blocks at all, there are two options. One is to stand still. The other is to use imaginary mortar to build a castle. Football journalism, under broadcast pressure and click demand, tends to force writers to choose the second option. The report above chose the first. It was not beautiful, but it was safe. The interesting thing is that “cannot assess” does not mean “there is nothing”. Identifying a data gap is a diagnostic signal. When an article lacks expected-goal numbers, I know the club’s data source is unstable. When a transfer story cannot reveal a contract deadline, I know the information layer is being hidden. This is especially true for Vietnamese football, where V-League is gradually getting used to VAR, and where match data is not yet as rich as in top European leagues. In some matches, teams only have basic information; in others, statistics rooms operate almost instantly. That gap creates a news trough, and a trough is where rumours breed. I recalled a controversial situation I handled during an AFC U23 final not long ago. My name does not matter; what matters is that when the camera showed a slow-motion replay, I did not have enough camera-angle data to say definitively whether it was a foul. The crowd demanded a verdict. The producer pushed me through the earpiece. But the footage had only four angles, there was no semi-automated offside signal, and the referee decision was not fully explained. If I had opened my mouth to make a firm claim, I would have repeated the mistake of many commentators: filling the lack of evidence with confidence. My past errors taught me that once you say something wrong in front of six million people, the apology afterwards is heard by only a few hundred thousand. So, on live television that day, I said: “There is not enough evidence. We need another camera angle.” It may have been the dullest line of the day. But it was the only line that did not turn a subjective opinion into a false objective fact. Football fans often underestimate the value of saying “I don’t know”. They call it unprofessional, evasive. I call it respect. Fans deserve to know the boundary between published facts and personal interpretation. Sports writers should distinguish three types of sentences: verified facts, grounded hypotheses, and pure emotions. If you merge all three into one news sentence, readers cannot protect themselves. A good football article must show which floor it is standing on. That data-poor report taught me another lesson about systems. In the risk management section, the author placed columns for “likelihood” and “impact” but did not fill in a single number. The writer was not being reckless; they were recording the recklessness of the surrounding environment. A domestic football league without data standardisation is like a team without GPS in training: everything is visible to the naked eye, but nothing is recorded as a number, so intensity is hard to judge. If we use an analytical framework and that framework has to say “insufficient data”, perhaps the biggest problem is not the journalist, nor the analyst; it is the information infrastructure of football itself. That is a reform direction federations and media groups should consider. Two years ago, when a national team performed poorly, I wrote a 5,000-word analysis based only on data from the previous 20 matches. I cited pressing numbers but did not explain whether they were calculated over the first fifteen minutes or the whole match. Readers asked, and I discovered the source I had used was ambiguous. I had to edit the article and add a note: “These numbers are for reference only because the provider did not publish its definitions.” After that, the editorial team built a rule: every analysis must clearly state the data unit; if it cannot be verified, the writer must switch to explicit speculation. That rule did not come from perfection; it came from a public error. A mistake made on live television can become the foundation of a new system, but the condition is recording, avoiding repetition and refusing to make excuses. The system we now use is like an internal editorial lifebuoy. It is not common in newsrooms because it takes time, but it protects the brand. Vietnamese football is now standing at the threshold of moving from oral storytelling to data storytelling. Stands are not always filled with note-takers. Many V-League matches do not include an official announcement of the exact timing of VAR decisions, leaving the press to guess from crowd noise. Meanwhile, fans have started drawing charts, calculating expected points and building prediction models themselves. They are no longer satisfied with a generic comment. This puts pressure on content producers; whoever standardises data quickly will create a major competitive advantage. The counterintuitive point is that a newsroom willing to refuse to write when data layers are missing may win long-term trust more sustainably than a newsroom that publishes something new every hour. Facebook and old news platforms have made us used to continuous updates, but that continuity erodes quality. A loyal reader does not need us to be right many times; they need us to understand the difference between “maybe” and “certainly”. When a transfer rumour explodes, look for three independent sources, check the specific fee, and determine who benefits if the rumour travels further. If three sources are missing, say so explicitly. Readers may be disappointed not to get a big story, but they will return when the rumour storm fades. Thinking about that empty report in the late afternoon, I remembered an old insight: an empty stadium is the greatest laboratory for a referee because the noise of public opinion is removed from the equation, leaving the decision naked under the rules. Likewise, an analysis that refuses to invent numbers is a kind of laboratory for clean journalism. It is not impressive, attractive or full of dazzling graphics. But it shows the whole working process: from collecting, to verifying, to interpreting, to publishing. In that process, “insufficient data” is not a dead end; it is a gateway back to the origin of the problem. I decided to keep that analysis as a reference for the editorial desk. It was less expensive and more instructive than any training course. Finally, the most important standard in modern sport is not the number of goals seen on television screens. It is the process that creates information. If every article must pass the question “where does this data come from?”, football will have fewer scandals and fans will be less exhausted by reading unfounded claims. An article lacking data today can become a brick for a better system tomorrow. An article that uses fabrication to create an illusion of fullness will become a barrier that drives people away from football. I choose the slower path, but that path at least does not leave the next generation with a pile of false data.