Vietnamese football stands before the data mirror: When numbers become medals or phantoms

There is a moment I cannot forget. It was a night in November 2026, when the Vietnamese national team stepped onto the pitch against Iraq in the 2026 World Cup qualifiers. I sat in front of a computer screen in Liverpool, recording every touch, every long pass, every average pressing distance. What made me pause was not the result – a 0-1 defeat full of regret – but a small detail most spectators overlooked: the Vietnamese national team completed 73 passes into the opponent's final third, but only 4 passes created genuine chances. Four. That number told me more than a 90-minute match, and it posed a question I have carried for months: is Vietnamese football standing before a data mirror we are not yet ready to look into?

That question is neither pessimistic nor critical. It is the question of someone who has spent 35 years watching football through the lens of data, from the early days at Belgrade Television to becoming a transfer market administrator in Liverpool. I have witnessed data revolutions in the Premier League, the Bundesliga, La Liga, and I ask myself: has that revolution arrived in the V.League yet? And if not, why?

To answer this, we need to step away from momentary emotions – joy at beating a big team, sadness at defeat, excitement when a young player shines. We need to look at the bigger picture: data infrastructure, analytical capacity, the transfer market, and most importantly, the ability to transform numbers into correct decisions on the pitch.

Context: When data becomes a luxury

In modern European football, data is no longer a support tool – it has become an inseparable part of decision-making. Manchester City has a team of 12 full-time data analysts. Liverpool under Jurgen Klopp built a player tracking system detailed to every square metre. Bayern Munich invests millions of euros annually in video analysis technology and data modelling. That is the standard of elite football.

And then I look at V.League. Player tracking systems? Most clubs do not have one. Data analysis departments? A few large clubs have them, but usually with only one or two staff members, often part-time. xG (Expected Goals) models applied to V.League? There is almost no publicly recognised model. PPDA (Passes Per Defensive Action) to measure pressing intensity? Only enthusiasts like me calculate it from raw data.

The gap is not something to be ashamed of – it is the reality of a developing football nation. But it is also a major barrier we need to acknowledge if we want to progress. Data whispers; those who listen will hear the magic. The question is: do we have enough listeners?

I have had the chance to speak with several V.League coaches in recent years. One coach told me he proposed to the club board to purchase professional video analysis software, but was rejected because the cost was too high. Another shared that he had to manually note every match in a notebook, then ask his son to help enter data into Excel. That is not a modern fairy tale – that is the reality of many V.League clubs.

But this is also where I want to ask the reverse question: is the lack of data the main cause, or merely a symptom of a deeper issue? The deeper issue, in my observation, is that the decision-making culture in Vietnamese football remains heavily reliant on intuition, relationships, and gut feeling – factors that are not bad, but when combined with the lack of data foundation, create an environment where wrong decisions are very difficult to detect and correct.

Core: Three layers of analysis on the state of Vietnamese football data

The first layer: Data collection infrastructure. V.League began using VAR technology in 2026 – a notable advance. But VAR is only a referee support tool, not a tactical analysis tool. To build a complete data system, we need automatic player tracking cameras (like Hawk-Eye or Tracab technology), player sensors, and specialised analysis software. The estimated cost for such a system can reach hundreds of thousands of USD per season – a figure many V.League clubs cannot or do not want to pay.

The second layer: Analytical personnel. This is the layer where I see the most positive development in recent years. More and more Vietnamese young people study sports statistics, data science, or football analysis abroad and return home. Some work for V.League clubs, some build their own analysis channels on social media, some work for international football organisations. This is an encouraging sign, but still very small compared to actual demand.

The third layer: Data usage culture. This is perhaps the most important and most difficult to change layer. I have seen many clubs invest in analysis software, only to let them sit idle because coaches do not use them. I have seen detailed analysis reports prepared meticulously, only to be ignored because the board believes in the gut feeling of a former star on the advisory board. Data usage culture does not just need tools – it needs changes in mindset, in how success is evaluated, and in the relationship between managers, coaches, and analysts.

When I look at these three layers, I see that we are at a very early stage of development. But that does not mean we should be pessimistic. Instead, we should look at what is being built, however small.

One thing I want to share from personal experience: in 2026, when I wrote my first analytical piece about Liverpool's pressing under Klopp, I was also criticised. Some said I was too mechanical, some said football cannot be measured by numbers. Seven years later, Liverpool won the Premier League and Champions League with the same pressing philosophy I described through data. Those who are right before their time always pay with loneliness. But that loneliness is also part of honesty.

Contrarian: When more data does not mean more truth

There is a misconception I often encounter among those new to football data analysis: they believe the more data, the better. They collect every possible metric – touches, passes, tackles, distance covered – then try to find correlations with match results. But data is not truth – data is only the raw material for finding truth.

A specific example: in the 2026 season, a V.League club had an average possession rate of 58% – higher than most opponents. If we only look at this number, we would conclude this club plays attacking and dominant football. But when I analysed deeper, I found that 68% of their passes were horizontal or backward – passes that did not create attacking value. High possession rate, but no tactical significance. This is a lesson I learned very early: data whispers, but if we do not know how to listen, we will only hear noise.

Another blind spot I often encounter in analyses of Vietnamese football is dependence on international data. Many xG models, many PPDA metrics, many player evaluation systems are designed for European football, and when applied to V.League, they may produce skewed results. For example, an xG model trained on Premier League data will undervalue long-range shots in V.League, because V.League players tend to shoot from distance more often and the quality of long shots also differs. Or a pressing evaluation model based on PPDA will not accurately reflect the playing style of V.League clubs, because overall pressing intensity in V.League is much lower than in the Premier League.

This is a serious issue that few people talk about. We are trying to measure one football culture with the ruler of another. And the result is that we frequently draw inaccurate conclusions, not because the data is wrong, but because the analytical tool is unsuitable.

Correlation is not causation. This is a principle I always remind myself whenever analysing football data. There are V.League clubs with high xG but still lose, clubs with low xG but still win. That does not mean xG is useless – it means football is a complex game that no single metric can fully explain.

Transfer market: When numbers become fate

In recent years, the transfer market of Vietnamese football has changed significantly. Whereas previously most transfers occurred between domestic clubs with relatively modest fees, recently we have witnessed many deals involving foreign clubs, especially from Japan, Korea, and some Southeast Asian countries.

One notable deal was Nguyen Quang Hai's transfer to Pau FC in France in 2026. This was a historic deal, as Quang Hai was one of the first Vietnamese players to move to a top European league. However, the result was not as expected – Quang Hai did not get many playing opportunities and returned to V.League after one season. The question is: why?

If we look from a data perspective, there are many factors to consider. First, the difference in playing intensity between Ligue 2 and V.League is huge. Second, the ability to adapt to a new environment – language, culture, playing style – is also an important factor. Third, Quang Hai may have been overvalued based on his achievements with the national team and V.League, but had not been tested at a higher level.

I do not say this to criticise Quang Hai – he is a talented player who has contributed greatly to Vietnamese football. I say this to point out that every number in the transfer sheet is a fate waiting to be continued. Transfer fees, contracts, personal terms – they are all just frameworks. The most important part is the human story behind those numbers.

Another trend I observe in the V.League transfer market is the increase in long-term contracts with young players. Many clubs are now willing to pay high fees for U23 players, even U19 players, with the expectation that they will develop into future stars. This is a gamble – and in many cases, a gamble without adequate data foundation.

The youth price bubble is bursting – and this is an issue I have warned about for years. When a 19-year-old player who has not played 50 top-level matches is valued at millions of USD, we are betting on a future without enough data to assess the risk. In European football, major clubs have analysis departments to evaluate young players in detail. In V.League, many decisions are still based on intuition and relationships.

National team: The reflective mirror

The Vietnamese national team has had significant successes in recent years – winning the AFF Suzuki Cup 2026, reaching the Asian Cup 2026 quarterfinals, and consistently ranking in the top 15 in Asia on the FIFA rankings. But alongside those successes, we also need to look at the limitations.

One limitation I see most clearly is dependence on one generation of players. For many years, the Vietnamese national team has built its playing style around a certain group of players – those who have played together since youth teams and have very high understanding. When this group enters the late stage of their careers, the question is: where is the next generation?

The answer is not simple. We have talented young players like Nguyen Filip, Khuat Van Khang, and several players playing abroad. But can they create a new generation as successful as the previous one? No one can answer this question with certainty, and that is precisely why we need more data, not less.

Another issue is the lack of players playing in top international environments. While Japan has dozens of players playing in top European leagues, Korea also has many players in the Bundesliga and Premier League, the number of Vietnamese players playing abroad is still very limited. And when there are no players playing in top environments, the national team will lack the valuable experience that can only be gained when facing strong opponents weekly.

Closing: When truth needs to be respected more than emotion

I have spent more than three decades watching football through the lens of data. I have witnessed revolutions, failures, and many moments where data said one thing while emotion said another. And through all those experiences, I have learned one thing: truth is more valuable than emotion, but emotion also needs to be respected.

Vietnamese football is at an important crossroads. We have young talents, clubs investing, a foundation built over many years. But we also have limitations – in data infrastructure, in analytical personnel, and in the culture of using data in decision-making.

The question is not whether we should use data or not – we must use it if we want to compete. The question is: how will we use data, for what purpose, and with what humility?

I once stood before a spreadsheet and felt as if I was witnessing magic at Anfield. The magic was not in the numbers – the magic was that the numbers can tell us a story that the naked eye cannot see. And the story of Vietnamese football is still being written. Each of us – from managers, coaches, players, to fans – is part of that story.

Let data be light, not a phantom shadow. And remember that, in this world of extended seasons, the awakened can only rely on their own spreadsheet – and more importantly, on their honesty with themselves.

This article is written from the personal perspective of someone who has observed football for many decades, with the hope that it will contribute to the necessary dialogue about the future of Vietnamese football. All data and assessments are based on personal observation and analysis, not absolute statements. Truth in football, as in life, is always more complex than what we want to believe.