Vietnamese Football and the Lesson from an Empty Assessment: Saying 'Insufficient Data' Is an Analysis

I have just received a tactical assessment with no data whatsoever. This is not a hypothetical situation. The document I held in my hands was titled 'Comprehensive Assessment', several pages long, with complete sections such as 'Core Judgment', 'Information Value Rating', 'Key Risk Warnings', and 'Signals Requiring Ongoing Tracking'. But under 'Core Judgment', there was only one sentence: 'Insufficient information'. In the rating table, all categories received one star. In the 'Key Risk Warnings' section, the first line read: 'Risk of fabricating analysis when data is missing'. There was no club name. There was no player name. There was no mention of any match. There was not a single reliable statistical figure. If you are a sports editor rushing to publish a story for a Vietnamese online newspaper, what would you think? You would think this analyst had failed. You would call him and ask for a 3,000-word article, even if he only had a sparse match report. You would say: 'The audience is waiting. We need content. We need an analysis with a truly shocking headline.' I have lived in the profession of sports analysis for over five decades. I have been publicly attacked for writing against the prevailing opinion. I have been wrong in my prediction about Argentina at the 2026 World Cup, and I publicly corrected myself. But I have never written an analysis in which I invented data. And I believe that the 'empty assessment' is actually one of the most honest documents I have ever read in the world of football analysis. Why? Because the author of that assessment did exactly what a responsible analyst must do: when there is no data, say there is no data. This sounds simple, but in the age of social media and speed-driven newsrooms, it is extremely rare. The story can be seen from several angles. The first is the story of news production in Vietnam. In the V-League, we usually receive club press releases that contain only a few photos and a few coach statements. It is rare to receive pressing data, passing sequence data between positions, or information about the team's line spacing over time. Writers are forced to rely on intuition, emotion, or worse, on rumours from social media. The second angle is the story of sports journalism. During my twenty years working in Moscow and following European competitions, I realized that the demand to write fast and write often has killed precision. A good tactical analysis needs at least three layers: match data, tactical context, and verification from multiple sources. If the first layer is missing, the other two are built on sand. The empty assessment pointed out our exact disease. The 'Information Value' section gave one star because there was no event to evaluate. The 'Competitive Value' section gave one star because there was no match data to analyse. The 'Industry Value' section gave one star because no systemic element was mentioned. The biggest risk was 'analytical fabrication'. All these things show that when data is empty, a match cannot be truthfully narrated. People often say: 'No information means no news.' But in football, that phrase must be understood more deeply. A match is not just a score. It is a sequence of decisions repeated hundreds of times. How did the coach set up the team? How did the positions move when losing the ball? How many metres did the full-backs push up? In what space did the central midfielders receive the ball? Without data to answer these questions, any analysis of goals, stars, or fighting spirit is merely an illusion. I remember the 2026 World Cup, when I sat in the stands at the Luzhniki Stadium in Moscow to watch the final between France and Croatia. People kept talking about Mbappé's goal, his speed, the eruptive moment. But I was watching something different. I was watching the empty space on Croatia's right flank after the 35th minute. I saw Croatia's formation stretch, the distance between their midfield and defensive lines widen. Mbappé was not just running fast; he was running into that exact empty space. Without data on Croatia's line spacing minute by minute, I could not explain why France scored their third goal. It would all be just visual observation. Since then, I have always reminded myself: 'People watch the players run. I watch the whole formation move.' But to watch the whole formation move, I need data. I need to know the position of each player at each second. I need to know the number of presses in each zone. I need to know the direction of the goalkeeper's passes when his team is under pressure. Without those numbers, I am just a football fan who likes to guess. The empty assessment reminded me of the seven months without football during the 2026 pandemic. When all leagues stopped, I had no matches to write about. There were two options: wait and write unfounded predictions, or use the time to build my own dataset. I chose the second option. I compiled a database of 214 goalless draws from five top European leagues, categorised by nine pressing patterns. When football returned, I had a completely different perspective on match tempo in empty stadiums. Seven months without football, seven months of endless asking why. What seemed 'dead' was actually a wonderful opportunity to re-examine the whole system. If I had accepted writing a match analysis without data, I would have had to use imagination to fill the void. I could describe a striker as 'moving intelligently' without knowing how many kilometres he ran. I could say a team 'dominated the game' without having figures for possession in different zones. Such as beautiful words might please new readers, but they would be caught by someone who actually watched the match. More dangerously, they would make the audience believe something without evidence. The empty assessment issued three warnings. First, the risk of analytical fabrication. Second, the risk of misleading confidence. Third, the risk of affecting decisions made by football professionals. I want to emphasise the third warning. In Vietnam, some clubs use online analyses as reference material when assessing opponents. If the article is built from imagination, it can lead to wrong transfer decisions, wrong line-up decisions, and wrong evaluations of an opponent's strengths and weaknesses. This is not only a journalistic issue; it is a professional issue. I was once wrong when I predicted that Argentina would be eliminated in the quarter-finals of the 2026 World Cup. Before the tournament, I thought their defence was too thin and lacked depth. When they reached the final, I had to review what I had written. What made me wrong? I did not have data on coach Lionel Scaloni's ability to change line spacing during matches. I only looked at the squad list, not at how he adjusted the formation after conceding. After the final, I wrote a 4,800-word self-criticism. That article helped me win the trust of demanding readers, because they saw that I was not trying to defend a wrong opinion at all costs. Now, reading the empty assessment, I understand even more deeply why recognising the limits of data is important. If an analyst says 'I cannot analyse this match because there is no information', he is not failing. He is protecting the integrity of his profession. He is sending a clear signal: the system has sent garbage data, and garbage in means garbage out. In five years of working with the Russian and Eastern European football community, I realised that fans in developed football cultures demand numbers. They do not just ask 'who won', but also 'what was the xG, how many shots from inside the box, how many successful presses'. In Vietnam, this habit is emerging but not yet strong enough. We still prioritise emotional stories, shocking statements, and beautiful goals cut into short clips. I am not against emotion. Football without emotion is just a collection of dry data. But emotion should be built on truth. When I write about a match, I want readers to understand why one team won and one team lost. I want them to see how the coach's decisions changed the match. To do that, I need data. I often tell myself: 'Patience is not immobility. Patience is waiting for the opponent's pressing rhythm.' In writing, this means not panicking when every data field is empty. Instead of writing a meaningless article, wait one more day, wait one more match, wait until there is enough information to say something valuable. The empty assessment taught us the lesson of 'information gaps'. Normally, in a tactical analysis, people fill gaps with inference. If they do not know the starting line-up, they guess the coach uses a 4-3-3. If they do not know injury status, they guess the key players will start. This creates a full report, but it lacks authenticity. It is like a chess player imagining the opponent's move without looking at the board. In chess, if you do not see the board, you cannot play. In football, if you do not have match data, you cannot analyse. But because football is more visual than chess, many people think they can analyse with the naked eye. They watch a match, see Team A pressing strongly, see Team B dropping deep, and immediately conclude that Team A controls the game. They don't know that Team B might be dropping deep on purpose to counter-attack. They don't know that pressing hard in the first twenty minutes could be a trap, and Team A will fade in the final twenty minutes. Without distance coverage data for each player, you won't see that physical decline. Without duel data in each zone, you won't know which team truly controls the midfield. Statements like 'Team A press well' are mere feelings, not analysis. The empty assessment shows that an analyst can correctly rate the 'news value' of a source when that source has no information. He rates each category with stars from 1 to 5. He writes 'cannot assess because no data'. He even warns 'do not use this analysis for any media or commercial decision'. That is a professional act worth emulating. I am 69 years old. I have witnessed countless tactical revolutions, from Catenaccio to Tiki-Taka, from Ralf Rangnick's Gegenpressing to modern three-man defences. But there is one thing that never changes: data is the foundation of every analysis. If I have no data, I am just an old man watching football and dreaming. If I have data, I can show others why a team wins, why a team loses, and what a good coach must adjust. Look at Vietnamese youth leagues. I often watch U18 and U21 matches and feel sad seeing physicality taking over. Tall, strong players are preferred over small, technically gifted players. Why? Because young coaches face result pressure and choose players who can run a lot and compete hard, not players who can receive and pass intelligently. This connects directly to the data story I am telling. Without technical data, players are judged by the naked eye, and the naked eye is often fooled by physique. In developed football nations, they use data to evaluate young players. They track successful passes, the number of dribbles that create space, and clever positioning. They do not only look at height and speed. If Vietnam wants to develop technical football, we need to build a deep data system so that small but talented players are not overlooked. The empty assessment says nothing about youth football. But it teaches us a great lesson: when data is missing, stop. Do not rush to conclusions. Do not rush to choose one person over another. Wait for more information, more time, until the picture becomes clear. In an ideal world, every sports article is built on verified data. But our world is not ideal. Advertising pressure, page views, and competition between newsrooms lead to more superficial articles. We cannot change that overnight. But we can start with a small habit: before writing, ask yourself 'do I have data to prove this?' If the answer is no, say no. Do not invent. I once wrote an analysis that was fiercely criticised by the online community. It was an article about Ralf Rangnick's pressing system at RB Leipzig. I used xG data from 34 Bundesliga rounds to argue that this model could collapse when facing a deep defensive block. People called me a 'conservative fool'. Instead of arguing, I spent six weeks reviewing all of Leipzig's match footage and noted 412 failed pressing situations. Eventually I had enough data to publish a correction, and it convinced even those who had ridiculed me. Since then, I have inserted at least 15 self-made charts and data source notes into every article. This story shows one thing: data never takes offence. Data does not care whether you are right or wrong. Data simply reflects reality. If you have good data, you can confidently defend your position. If you do not have data, all rhetoric is just wind. Returning to the empty assessment, I want to tell you this: Do not underestimate an article that 'has no information'. It may be an honest article protecting you from wrong decisions. In football, there are matches where the score reflects the true situation. There are matches where the score lies. People watch the players run. I watch the whole formation move. But to see the whole formation, I need data. And when I do not have data, I will say plainly: 'I cannot see anything.' That does not make me ashamed. It makes me more trustworthy. The assessment also had a section called 'Signals Requiring Ongoing Tracking' and it wrote 'insufficient information'. This may confuse many. But I see it as a clean signal. It shows the system is telling the truth. Systems do not lie, but can only be heard when data is deep enough. When data is shallow, the best thing is to say 'I don't know'. Humanity took a long time to learn to say that sentence. In football, we need to say it more often. If you are a sports journalist in Vietnam, here is a small suggestion from me: have the courage to say 'insufficient data' when you really do not have data. It will cost you some readers temporarily, but it will keep your credibility in the long run. Conversely, if you try to write a 3,000-word analysis without any specific numbers, you will lose the trust of people who understand football. And trust, unlike data, is not easily regained. Vietnamese football is developing. The national teams are improving year by year. But to go far, we cannot rely only on spirit and emotion. We need an analytical foundation based on data. We need journalists and experts who know how to say 'no'. We need articles that can be verified. Finally, I want to repeat a phrase I often use in my articles: 'Data is never arrogant.' Let data speak. And if data says nothing, do not force it to say something. Silence is also a message. The sideline can be an area beyond the crowd's sight, but from there, I can see the whole match. And when the sideline is empty, I stand still and look at the void. The void is not meaningless. It is telling me that the incoming information is not enough to tell the story. And sometimes, knowing when to stop is just as important as knowing how to start.