Empty Data in the V.League: When Transfer Decisions Are Built on Blank Cells

At 6:40 in the morning, eighteen GPS vests were handed out at a training ground on the outskirts of Ho Chi Minh City. The session lasted 95 minutes in 32-degree heat and near-80 percent humidity. By nine o'clock, when the analysis department downloaded the data, one central midfielder appeared with exactly two metrics: minutes played and touches on the ball. His distance-covered column was completely blank. The device on his chest had recorded nothing for forty minutes in the middle of the session. Nobody on the coaching staff noticed. The data sheet was pushed to the group chat as usual, and that blank space sat there untouched for four months.

I am not telling this story to catch out a piece of hardware. I am telling it because it is a miniature of a much larger problem in Vietnamese football: we learned how to collect data very quickly, but we never learned how to read its absence.

In thirty-six years carrying a notebook around football teams, I have watched two revolutions sweep across Vietnamese pitches. The first was the fitness revolution, when gyms and injury-treatment centres became mandatory standards. The second is the data revolution, and it is still unfinished. The worrying part is not that we lack machines. The worrying part is that a great many decisions about human beings are being made on spreadsheets full of holes that nobody bothers to check.

The infrastructure ran ahead of the people

Over the past decade, the analytics infrastructure at V.League clubs has changed beyond recognition. A top-tier club can sustain four or five staff in that department: a fitness specialist, a video specialist, a match-data officer and a general assistant. They own GPS vests, wide-angle cameras, situation-editing software, and reports so thick no coach finishes reading them.

But that is the top tier. In the middle and lower reaches of the table, the picture is entirely different. Some clubs have one person handling data, equipment and the water bottles for training. Some outsource the entire analysis function match by match, which means the data arrives three days late, by which time the next opponent has already changed formation. Some buy the equipment but not the people, leaving GPS vests locked in a cupboard because nobody knows how to export a file.

That asymmetry produces a rarely discussed consequence: same league, same pitch, but clubs are watching the game through eyes of very different resolution. And when the transfer market operates on that foundation, the margin of error stops being a private matter for one club.

In June 2026, I received a call from a German scout. He was weighing up the signing of a Vietnamese central midfielder for a fee of 1.8 million euros. He sent me footage of a match in which the player picked up a yellow card in the 30th minute and then almost vanished from the game. Working from GPS data supplied by the club, he concluded the player's top speed was only 27 km/h, below the threshold he required, and cancelled the deal.

The German knocked once, and I opened an entire archive of scouting records that had never been published. I pulled the raw data for the whole season, cross-checked it against footage from two angles, and found something crushingly simple: the GPS device on the pitch that day had lost its positioning signal during the first half. The 27 km/h figure had been calculated from a stretch of missing signal. The player's actual top speed in that match was 33 km/h, and he produced four sprints above 30 km/h in the second half alone, precisely when his team switched to a counter-attacking shape.

My piece on that case went on to reach 1.2 million reads. But what I remember most is not the number. It is the scout's question after he rewatched the footage: why did nobody at the club check the figures again before sending them to him. That question still has no satisfactory answer.

Three layers of one blank cell

Over years of watching, I have realised people tend to bundle three distinct problems into one, and then fix the wrong one. Separated out, the picture becomes far clearer.

The first layer is the device layer, and it fails more often than people think. A GPS vest is a satellite receiver strapped to the back of a human being who is running, sweating and colliding with others. In Vietnam's climate, with temperatures routinely above 32 degrees and high humidity, the rate of signal loss during a long session is not small. Some days the signal drops in one corner of the pitch; some days it drops across a stretch of time. The problem is not that devices fail, but that almost no club keeps a failure log.

Without a failure log, missing data does not disappear. It simply becomes invisible. The spreadsheet stays full, the columns stay aligned, and a single empty cell among thousands goes unnoticed.

The second layer is interpretation, and this is where the real cost lies. A number without a source note is a rumour written in digits. When a scout watches exactly one match, he is not assessing a player; he is assessing one evening. That player may have just come off a night flight, an illness, a phone call from home. Footage does not record those things, and a data sheet certainly does not.

Digitisation did not make me faster, but it forced me to be more honest with every number. Since the 2026 case I have set myself one rule with no exceptions: never write a conclusion without cross-checking at least two independent sources. Two sources, not two readings of the same file. If both sources are outputs from the same device, I still have nothing.

The third layer is the human layer, and it is the one data never reaches. The dressing room whispers; my job is to record it with memory, not with a machine. A player may cover 800 metres less than his season average, and that figure will be filed under physical decline. But if I am in the room, I know his wife went into hospital at three in the morning. Same number, two readings, two opposite conclusions.

The best analyst I ever worked with at a V.League club had an odd habit: every morning he walked a lap of the changing area before opening his laptop. He said he needed to know who was quiet today, who was talkative, who arrived late, before he trusted any metric. I think that is the most accurate definition of this profession.

There is a fourth layer I have not yet named, and it is the stands. In 2026, when I followed a club through 250 days of a season, attending 34 training sessions and 18 away matches, I met a young player wearing the number 29 shirt. He scored seven goals but barely appeared in any online fan poll. The coaching staff had data on him. The stands did not.

I put together a survey on the supporters' page myself, drawing 12,000 interactions, to ask one question: why the indifference towards a player who was scoring. The result stayed with me. The community never doubted his ability. They doubted the coaching staff's tactics, and they doubted the numbers the club published along with them. The team was on a five-match winning run at the time.

What I took from it is this: when internal data and the feeling in the stands diverge, supporters usually trust their own eyes. And they are not as wrong as the professionals assume.

More data, more mistakes

Here I want to say something directly against the majority view.

The prevailing belief in Vietnamese football right now is that we need more data. More devices, more analysts, more reports, more charts. I think the direction is right but the sequence is wrong. Vietnam's problem is not a shortage of data. The problem is that we have far too much unverified data, and we are processing that volume on faith.

An honest empty record is worth more than a full record that is wrong. The blank cell in that distance column on a March morning was a reminder. If someone had asked why it was empty, the club would have learned its equipment had a fault. But once a blank is filled with an interpolated figure, or with the previous session's number, the truth disappears permanently. A digitised error looks a great deal like the truth.

This is especially dangerous in the domestic transfer market, where the majority of deals take the form of free transfers or loans. When there is no transfer fee, the value of the deal flows into signing fees, intermediary commissions and under-the-table bonuses. Those amounts do not sit in a transfer ledger, which means they sit outside normal scrutiny. That is where verification is weakest, and also where the most money moves.

I once sat in a meeting where a club representative presented the file on a free agent in exactly three lines of text and a 90-second video link. No match data, no complete medical report, no verification beyond the agent's own word. The deal went through anyway. Four months later the player left the club because of an undeclared knee injury.

Stories in the lower divisions run on the same logic, only at a different scale. Every season some small club makes a run, gets retold by the media as a fairy tale for about a week, and is then abandoned. Afterwards there is no reform of resource allocation, no change in how broadcasting money is shared, no mechanism to stop that club from selling its best player at the end of the season. The story is consumed and thrown away. What remains is still a data gap, except this time it carries a club's name.

There is a more useful way to think about it. Instead of asking how much data a club has collected, ask who inside the club is tasked with doubting the data. At most V.League clubs today, the answer is nobody. The person who produces the report is also the person who defends it. Without internal challenge, errors are only discovered from outside, and usually by someone weighing up whether to spend 1.8 million euros.

What I heard when the stadiums were empty

In an empty season, I heard the rhythm of the community tapping more clearly through the window. In 2026, when stadiums closed, a club I was following lost 40 percent of its revenue, its main sponsor announced it would cut the contract after twelve rounds were postponed, and a debt of 8 billion dong hung over the whole squad.

In that situation I had no dataset to analyse. No metrics, no reports, no forecasting model. All I had was a list of supporters and a question. I organised an online meeting between players and more than 3,000 fans, and guided the conversation about that debt in the plainest language I could manage. Two weeks later the community had raised 2.3 billion dong. The club escaped the threat of bankruptcy.

The stands can be empty, but the heartbeat of a community never stops. And what I learned from that season is this: when every metric is blank, the only thing left is the relationship between people. Forecasting models do not save a football club. A group of people who trust each other can.

At 52, I still keep time with my ears, the one thing nobody has managed to digitise.

Signals to track

If you want to know which V.League club will move ahead over the next three years, do not look at how many machines they buy. Look at the processes they build.

The first signal is the appearance of an internal device-failure log. A club willing to record that three GPS vests lost signal for 20 minutes today, and willing to attach that note to the match report, is a club being honest with itself.

The second signal is the appearance of someone whose job is to argue back. An assistant analyst who does not collect data at all, whose sole task is to find the flaw in a colleague's conclusion. It sounds wasteful. But measured against 1.8 million euros cancelled because of one faulty device, it is the cheapest investment a club can make.

The third signal, and the hardest, is bringing the voice of the stands into the process. Not to flatter supporters, but to detect the places where internal data and reality are saying two different things. Those divergences almost always have a reason, and the reason usually sits in the dressing room, not in the spreadsheet.

The German scout once asked me what I heard from the dressing room. I told him I heard the sound of the future. He laughed, and said that was the answer of a man who had been in the job too long. Perhaps he was right. But eight years later, when he called again to ask about another player, he did not ask about speed. He asked whether anyone would check the numbers for him.

When technology changed the way football tells its stories, I quietly changed the way I listen. These days I also listen to the blank cells in the spreadsheet, because they are speaking too. They are saying that something happened on the training pitch that nobody bothered to record. The only question left is this: which V.League club will be the first to treat an empty cell as a question, rather than a flaw to hide?