The Art of Saying "Insufficient Information": Vietnamese Football and the Lesson of an Empty Analysis

In July 2026, during an analysis meeting ahead of a V.League 1 matchday, someone placed an A4 sheet full of numbers in front of me about a fixture between Hanoi FC and Hoang Anh Gia Lai. A tidy expected goals table: xG 1.87 against 0.94, possession 62% against 38%, pass accuracy 89% against 78%. Everyone in the room nodded. It looked so good that nobody bothered to ask questions.

I asked one question: "Where do these numbers come from?" Nobody could answer. Someone murmured: "From a foreign website." I pressed: "Which site, how did they measure it, and who paid for that measurement?" The silence lasted long enough for me to realise I had touched an unhealed wound in Vietnamese football.

The problem is not the number. The problem is that nobody knows who owns the number. And when a number has no owner, it can become whatever anyone wants it to become.

CONTEXT

Place Vietnamese football in its proper context. The current V.League 1 season is witnessing fiercer competition than ever. Cong An Ha Noi, Thep Xanh Nam Dinh, Becamex Binh Duong and Dong A Thanh Hoa are producing an increasingly unpredictable race. The Vietnam Football Federation has promised greater transparency. Attendance is rising. These are good signs.

But beneath that progress lies a basic gap: data infrastructure. During nearly two decades working in Europe, I grew used to every number having a clear chain of responsibility. Opta, StatsBomb, Wyscout — each company has its own measurement method, a person responsible for tagging, and published documentation. Consumers know exactly what they are using.

In Vietnam, most data still arrives through two channels. One is international suppliers with uneven coverage — V.League matches are often only partially captured, some metrics are left blank, and some games have no tracking data at all. The other is internal sources with no verifiable method. There is no independent third party, no data dictionary, no complaints mechanism.

When I asked a V.League coach about his team's PPDA over the last three matches, he laughed and said: "I just watch the video." That is an honest answer. But it also reveals a gap: decisions in the V.League are being made without any independent data layer to cross-check against.

There is a small paradox here. Vietnamese football has improved enormously in professionalism and organisation over the last decade. The national team, with players such as Nguyen Hoang Duc, Nguyen Tien Linh and Do Hung Dung, has reached the closing stages of continental tournaments. Clubs have learned to press, to defend in blocks and to build possession play. But the data layer that would serve these advances has not kept up. This is the missing piece, and it is creating a widening gap between what Vietnamese football can do on the pitch and what it can understand about itself.

And that is fertile ground for empty analyses.

CORE

Start by defining precisely what an "empty analysis" is. I am not talking about articles that are wrong. I am talking about articles that look full but contain no verifiable information.

Three tell-tale signs.

First, an empty analysis always opens with general statements rather than specific facts. Sentences like "the team showed great fighting spirit" or "the coach's tactics worked well." No match name, no scoreline, no minute, no named players.

Second, it uses data as decoration, not as evidence. A number appears without a definition, a source or a comparative context. "Team A had 65% possession" — but how is possession defined here? Who measured it? Over what period?

Third, and this is the clearest sign: an empty analysis never says "I don't know." It always has an answer. It always has a conclusion. It is always brimming with confidence when, in reality, there is no basis for confidence.

The paradox is that this confidence is precisely what makes it persuasive. In Vietnamese football media, where speed is valued above accuracy, an article full of decisive claims will be read more than a cautious one. Readers have no time to verify. Writers have no obligation to prove. So the empty analysis multiplies.

Data does not lie, but the people who collect it do. Let me tell a true story.

In 2026, at 35, I wrote an analysis of the Shanghai derby between Shanghai Shenhua and Shanghai SIPG, which finished 1-3. I argued that SIPG's win was not luck but the product of 54 successful presses in the final third. A former male star on national television mocked me: "What does a woman know about football?" My article was flooded with negative comments for a week.

I stayed silent. No argument. No reply. I waited. Weeks later, Opta released tracking data confirming exactly that figure of 54. A number of colleagues came to apologise privately. Since then, I never make a tactical claim without verified numbers.

The Shanghai derby gave me a healthy instinct to distrust data. That is not negative cynicism. It is professional instinct. Whenever a number is placed in front of me, I ask three questions. Who measured it? How? Who paid the measurer, and what do they gain if the number takes one value rather than another?

Applied to Vietnamese football, the answers are often troubling. Many numbers circulate on forums, on social media and even in some mainstream outlets without any traceable origin. People share them because they look scientific, not because they are trustworthy.

An unverified number is more dangerous than a wrong opinion. A wrong opinion can be debated, refuted and eventually ignored. But an unverified number carries the cloak of objectivity. It is not debated. It is remembered. It seeps into conversations, into later analyses, and becomes part of the "truth" that nobody bothers to re-check.

Three types of data publishers

Before getting to the verification process, it is worth distinguishing the three types of data publisher you will encounter in Vietnamese football.

The first is the professional international supplier. They have public methods, documentation and correction policies. When they publish a number, you can trace how it was produced. Their weakness is coverage: they do not track every V.League game, and some important metrics are missing.

The second is the domestic organisation. Some clubs and analysis centres have built their own data-collection systems. Quality varies enormously. The danger comes when such internal data is published externally without methodological documentation, because then readers cannot know whether it was measured to the same standard as other sources.

The third, and the most dangerous, is the untraceable transmitter. They take numbers from somewhere, cite them without a source, or cite a source vaguely. These numbers live long lives in the information space because nobody can refute them — refuting a number without a source is impossible.

Anyone analysing football in Vietnam must learn to distinguish these three types and treat each with a different level of scepticism.

The three-round verification process for the V.League

Now the three-round verification process I apply to every piece I write, and why it matters especially in the V.League.

Round one, establish provenance. Every number must have a specific source, with a name, a publication date and a measurement method. If it cannot be established, the number is cut. No exceptions.

Round two, cross-check. Where possible, I verify a number against at least two independent sources. If two sources disagree, I state the disagreement rather than arbitrarily choosing one. Data on a midfielder's pass count can differ between suppliers because definitions of a "successful pass" are not uniform. I present both and explain why.

Round three, plausibility. Finally I ask whether the number is tactically plausible. If a team is said to press high but its PPDA is high, something is wrong. Then I go back to definitions and methods.

I do not predict from data alone; I predict from data that has passed three rounds of verification.

Now apply the process to a specific V.League situation.

Suppose someone hands you a sheet saying Thep Xanh Nam Dinh has an average xG of 1.92 over the last five matches, the highest in the league. What should you do?

Step one: ask for the source. If the answer is "aggregated from multiple sources," ask for each one by name. If none can be produced, stop.

Step two: cross-check. Find two independent sources publishing xG for the V.League. If one says 1.92 and the other says 1.45, you have a problem.

Step three: check plausibility. Watch the video. Did Nam Dinh actually create many high-quality chances across those five games? How many goals did they score? If they scored 11 goals in five matches, roughly 2.2 per game, and xG says 1.92, the number looks plausible. If they scored three and xG says 1.92, either the attack is extremely inefficient or the xG is wrong.

Most analyses in Vietnam stop at step one without ever doing step one.

Here I need to address an important concept: information uncertainty. In data science, every measurement carries error. A number without an accompanying error margin is meaningless. When you read xG 1.87, you need to know whether it is 1.87 plus or minus 0.15 or plus or minus 0.50. That difference decides whether your conclusion has any meaning at all.

In the V.League, where data is often collected at low coverage and without methodological documentation, the error is very large. An xG figure for the V.League may carry an error larger than its own value. That does not make it useless. It means you must use it with proportionate caution.

The empty stadiums of 2026 showed me the limits of tactics. That was the year I learned football is not just geometry on grass. When the Bundesliga returned after lockdown and I analysed Borussia Dortmund at an empty Signal Iduna Park, the numbers showed the home side won only 58% of duels, a sharp fall from 76% in the previous season with crowds.

Applied to Vietnamese football, every number must sit in its context. Pressing data for a V.League side at a packed Hang Day Stadium will differ from the same side playing away in an empty ground. Southern weather differs from northern. A congested calendar differs from a sparse one.

In other words, no number is neutral. Every number is a story, and that story must be told in full.

CONTRARIAN ANGLE

At this point I want to offer a view that may be uncomfortable.

In Vietnamese football media, the sentence "I do not have enough information to conclude" is treated as a sign of weakness. Whoever says it is seen as insufficiently qualified, insufficiently brave, insufficiently decisive. Meanwhile those who issue decisive conclusions, whatever their basis, are celebrated as true experts.

I believe this is an inversion of values.

In science, "we do not have enough data to conclude" is a valid result. In medicine, "there is insufficient evidence to recommend this treatment" is a valuable finding. So why, in football, do we treat the admission of the limits of our knowledge as a failure?

The answer lies in commercial pressure. An article admitting limits will not have a clickable headline. An analysis saying "more data is needed" will not be widely shared. In the attention economy, uncertainty does not sell. Confidence sells, even when that confidence is fake.

But here is what Vietnamese football's decision-makers must understand: if you make decisions on numbers without owners, you are gambling, not analysing.

When a V.League coach changes tactics on a possession figure without knowing how it is calculated, he is gambling. When a technical director signs a player on an unsourced attacking metric, he is gambling. When a journalist writes analysis on unverifiable numbers, that person is not analysing. They are marketing.

One thing I want to make clear: I am not opposed to the use of data in Vietnamese football. On the contrary, I believe data is its future. But data only has value when it is trustworthy. And data is only trustworthy when it has an owner.

More worrying still is that this situation is producing a generation of fans and young analysts accustomed to consuming unverified numbers. They grow up believing all numbers are true. They never learn to ask questions. That is a cultural loss, not merely a technical one.

There is a counter-argument I hear often: "But in Vietnam we do not have the conditions of Europe. We must work with what we have."

I understand it. But I do not accept it as a justification. A lack of resources is not a reason to lower standards. It is a reason to raise awareness of one's own limits. If you do not have good data, say you do not have good data. That is far more honest than fabricating an empty analysis and presenting it as fact.

Pressing geometry is not on the screen; it lies between the runs. That is the lesson of Croatia 2026. When I predicted Croatia would beat England in the semi-final, I did not rely on pretty numbers. I relied on watching the rotating triangles of Modric, Rakitic and Perisic in the video. I used Modric's 128 touches against Russia in the quarter-final as confirmation, not as a foundation.

That distinction matters. When you use a number to confirm an observation, you are analysing. When you use a number to replace observation, you are guessing dressed up as science.

TAKEAWAY

So what does Vietnamese football need?

It needs a culture that respects uncertainty. It needs journalists willing to write "I do not have enough data to conclude" without fear of being thought weak. It needs coaches willing to say "I need independent information before deciding." It needs leagues to build transparent data infrastructure, with public methods and independent third-party verification.

Above all, it needs a generation of fans who learn to ask questions before they believe.

The empty analysis I received in that meeting is not an isolated event. It is a symptom of a system with no self-defence mechanism against misinformation. And in a season where every point can decide a title or a relegation, the cost of an ownerless number can be far greater than its harmless appearance suggests.

The next V.League match kicks off this weekend. When you read an analysis of it, ask one question: who measured this number?

If the answer is "nobody knows," treat it as a gap to be filled and not a conclusion to be accepted.

And if you are the one writing that analysis, remember: silence is sometimes the most honest information you can provide. In a football culture learning to grow up, the ability to say "I do not know" may be the most important step we can take.