Vietnamese football faces a data crisis: when the analysis is a blank sheet

Saigon, one late afternoon in 2026. In a closed meeting room of the Vietnam Football Federation (VFF), assistant coaches received a 27-page document, marked confidential, for the preparation plan against Thailand in the 2027 Asian Cup qualifiers. The first impression is thorough: full of sections, charts, and metrics. But when opening each page, all data tables are blank. From 'opponent strengths/weaknesses' to 'high press analysis', from 'chance conversion rate' to 'injury frequency', there is not a single number. Every section is marked 'insufficient information'. A data analyst calls it 'a report of silence'. This incident, seemingly a technical glitch, has exposed a chronic disease in Vietnamese football: we are chasing data but do not know how to create meaningful data. Vietnamese football does not lack matches to analyze. On the contrary, the V-League just ended a record season with 182 matches and more than 400 goals. But the raw data collected by both clubs and the national team remains basic: ball possession time, shots, precise pass rate. The question 'why' is rarely answered. Coaches still judge by feeling, based on phone-recorded videos and personal experience. A U23 assistant coach shares: 'We want to know how many times the opponent presses high per match, but reviewing videos, counting each wave manually, and entering into Excel takes a whole day. When a report is needed urgently, everything becomes a mess.' This reality forced many units to hire foreign companies, and the price of dependence is empty reports. Looking at a major sports data group in Europe, they have analysts watching 14 matches of Germany U21 in one season to find the pressing model before it became a language. In Vietnam, there are people patient enough to do that job. But they lack a standardized data system. Each club records in a different way, analysis units differ, and the national team has no shared database. As a result, when accessing, the numbers do not match. A tactical analyst who previously worked for VFF admits: 'We have good signals from the injury tracking system born from Covid, but it lives for ordinary days, not for urgent meetings.' After the pandemic, VFF once proudly introduced a fitness tracking system for 126 European players, but it was applied to Vietnamese players only sporadically. To date, there is still no centralized sports data center in Vietnam. The emptiness of the analysis is not entirely a technical error. It reflects a mismatch between ambition and capability. When sponsors require 'high-tech application', when coaches need 'data-driven decisions', people pour money into expensive foreign software while forgetting that data need a heart to become a story, need people who know how to ask questions, not just know how to manipulate spreadsheets. In a specific match, if we do not follow a winger for the full 90 minutes to realize he only performs in the first half, software that collects 100 metrics is useless. 'I saw high pressing in the European U21 tournament before it became common practice,' an experienced commentator once said. That experience cannot be replaced by algorithms, but algorithms can help experience go further. The paradox is: the more we depend on external data, the more we lose the ability to analyze ourselves. The market now offers tactical reports that cost several hundred million dong for a single match. They provide heat maps and passing maps. But those reports are often written using templates, based on data from the match itself, rarely asking why. A foreign coach once complained: 'They tell me how many kilometers the opponent player ran, but they do not tell me that he always slows down in the 70th minute due to poor fitness.' To understand that, you need to re-watch multiple matches, cross-reference injury history, and even interview players. That is something a machine cannot do. Another viewpoint: empty data can be a message. In some cases, analysts deliberately leave it blank because they know the data is not reliable enough. Publishing false claims is more dangerous than saying 'I don't know'. So instead of considering the 27-page report a failure, it can be seen as a mirror reflecting the system: we need to invest in raw data sources before investing in machine learning. The writer of that analysis, if understanding the issue, might have chosen the honesty of a blank page instead of cramming garbage numbers. However, the report reader, in reverse, needs to ask: why do we lack data? Could it be that we have not invested properly for 30 years? Looking at Thailand and Malaysia, they are not richer in data, but they have a culture of analysis linked to school football. Young coaches must learn to record matches using diagrams and symbols before using software. The skill of 'reading the match' is trained like a sport. We introduced the concept of 'big data' too early, too hastily, and then encountered basic gaps. An example: to analyze high pressing, first we need a unified definition, and need trained observers to record each movement accurately. This work is not glamorous, but it builds the foundation. Otherwise, we will repeat the cycle: poor data entry, empty reports. From my experience watching V-League matches for many years, Vietnamese teams often play good counter-attacks, but find it hard to sustain the situation when under pressure. Basic metrics like ball possession do not fully reflect that. We need to track the positioning of defenders when losing the ball, the spaces between lines, the number of sprints in the last five minutes. This data is rarely stored. Even the richest clubs like CAHN or Thép Xanh Nam Định do not have a separate department to track injuries and training loads. They still trust the feelings of sports doctors rather than numbers warning of injury risks. Mid-season, many players shoot with their thighs because of pain, but the coaching staff has no way to measure tiredness levels, leading to prolonged injuries. That story could have been different if quantified four years ago, after Covid-19 when football returned. But when the pandemic passed, everything returned to the starting line. The blank report is also a warning to the media. Many articles about tactics are based on a single match, with a few numbers from international websites, then label a coach a 'strategist'. That is a way of writing that unintentionally creates fictional stories. Look at top football analysts: they follow hundreds of matches, build their own databases, and cross-check before making observations. They cherish the uncertainty of a match rather than proving their point. We need such people in Vietnam, people passionate enough to spend hours reviewing a play, and brave enough to say 'no data'. Thus, empty analysis creates a rare opportunity to be honest. Do not rush to buy new technology. Do not rush to sign contracts with foreign consultancies. Instead, first care for basic data at academies and youth matches. Teach coaches to record tactical notes according to a common standard. Invest in open-source software and train users. Build a video library with detailed annotations. This work is not too costly, but requires patience. When the foundation is solid, empty analyses will disappear and be replaced by colorful stories where data is a spice, not the main dish. Football is first the chaos of emotions, then the order of numbers. That blank sheet has been crumpled and thrown into a trash can. But its question remains: if we have no data, what are we relying on to make decisions? Once more, think of youth teams, where the biggest trends always wear the humblest jerseys. That could be a small data center at a sports school, with one camera and a passionate technician. And when someone asks why the national team is still poor in data, the answer is not in budget, but in determination to change the culture from within. I personally believe that with properly invested data sources, we can see miracles. I have witnessed a small team come from behind simply by changing the pressing timing based on the opponent's fitness chart in the first 20 minutes. No need for a financial corporation, just one person who knows how to listen to numbers. So, treat that blank report as a springboard, not a tomb. Use this deficiency as a lever to train Vietnamese sports data experts, those who will never write a report they themselves do not understand. The ball is still rolling, in the 90th minute of that match, somewhere on a distant field, a young coach looks at his tablet screen instead of the pitch. He is looking for a number rather than an intuition. He may be disappointed. But maybe that is the moment he realizes that data is not everything, but it is the language the match speaks to him. And if the match is not ready to speak, teach it first.