The Empty Cells: When Vietnamese Women's Football Data Is Never Recorded

On 12 March 2026, in a small meeting room deep inside the Da Nang sports complex, coach Tran Van Son opened an old laptop and showed me a spreadsheet named "Thong_ke_2023_2024.xlsx". Column A listed twenty-two women's youth players. Column B held their dates of birth. From column C to column H — minutes played, goals, assists, distance covered, touches, pressing actions — every cell was empty. Not because the club had never wanted to record them. Simply because nobody was there to record them. "You see," he said, without a trace of bitterness, "we play football from memory."

Six empty cells multiplied by twenty-two players — one hundred and thirty-two cells with no data in a single season. That is not a verdict. It is a map showing exactly where the system forgets people. And in eighteen years of covering Vietnamese football, I have never seen a more honest map.

Context: When the whole game learns to speak in numbers

Over the past decade, world football has transformed into a data industry. Opta, StatsBomb, FBref, Wyscout — those names now surface even in V-League press conferences. Leading Vietnamese men's clubs hire analysts, install positional-tracking camera systems, and sign contracts with international data providers. Expected goals (xG) has become common vocabulary on forums. A striker with ten goals but an xG of 6.5 draws suspicion. A defender with a low progressive-passes metric gets scratched from the list.

But at the women's level, data barely exists. Not because it is harder, but because nobody pays for it. A data analytics firm in Ho Chi Minh City once told me they hold tracking contracts for nearly every men's V-League match, but have never received a single request for the national women's championship. When I asked why, the representative answered plainly: "No client needs it."

That absence is not technically neutral. It changes how a women's player is evaluated. Without xG, a women's striker is measured by gut feeling. Without pressing metrics, a women's midfielder is viewed through the lens of goals. Without heat maps, a women's defender is judged by the memory of whoever sat in the stands. And the people in the stands, as I counted on one afternoon in 2026, usually numbered one hundred and twenty.

Nguyen Thi Lieu, the number 7 of the Hanoi women's team that year, earned an average of 4.8 million dong per month. A male player at the same club received 52 million. A gap of nearly eleven times. But there is another number less often mentioned: not a single performance-tracking sheet was compiled for her that entire season. Nobody measured Lieu's running minutes. Nobody counted how many times she dribbled past an opponent. Nobody knew how many kilometres she covered across eight months of continuous competition.

The Core: When measurement is mistaken for truth

In fact, even at the men's level, data is being misused. Over years of observation, I have noticed a troubling pattern: heat maps and composite metrics are gradually becoming a new kind of fortune-telling. People look at a heat map glowing red on the right flank and conclude the player ranges widely. But a heat map cannot show whether that player is dropping deep to cover a teammate's gap, running out of position on tactical instruction, or drifting wide because he is being marked so tightly that he must.

A heat map conceals a player's real role in a system. It shows where he appears, not why he appears there. So when women's football cannot yet produce even a heat map, I always ask myself: if we already misread the data of an entire major league, then perhaps the absence of data for women's football forces us back to the most basic things — looking with eyes, counting by hand, and recording in a notebook.

Some things I learned only by sitting long enough. One August morning in 2026, I watched a women's match in an empty stadium. There was no dedicated camera. No data provider. I wrote in my notebook: minute three, left midfielder number 11 receives the ball at midfield after a challenge, turns twice before passing. Minute twelve, she drops back beside the centre-back to receive because the central midfielder is man-marked. Minute twenty-seven, she takes a knock but keeps running.

After the match, I sat alone and realised something: across ninety minutes, player number 11 moved in a very clear pattern — she was always the first to drop back when the team lost the ball, and always the last to leave the central zone when the team transitioned to counterattack. That pattern appears on no statistical sheet, because no statistical sheet was ever made. If one had been, her numbers might look modest: few goals, few assists, average distance. But structurally, she was the one holding the rhythm for the whole team.

The striking point is that data is not missing because it is hard to collect — it is missing because nobody is paid to care. This is the crux that most debates about gender equality in sport overlook. People argue about salaries, bonuses, televised matches. Few argue about statistics. And statistics are precisely what decides who is remembered, who is evaluated, who is called up to the national team.

I once had the chance to compare two match reports from the same week. One was a men's V-League match: seventeen pages thick, full of passes-by-zone metrics, formation heat charts, pressing-sequence analysis. One was a women's match the same week: two pages, containing the score, the list of goalscorers, and a short description written by the reporter. Both matches lasted ninety minutes. Both had twenty-two players on the pitch. Both were professional football. But only one had enough data for serious tactical analysis.

When there is no data, all analysis becomes argumentation. Women's team coaches cannot prove their striker creates better chances than another. Scouts cannot compare two defenders without personally watching both. And at national-team level, women players are often selected on relationships, memory, or luck about where they grew up. It is a blind selection system.

While writing the series about Nguyen Thi Oanh during the 2026 pandemic, I realised Oanh had won three SEA Games titles but had to sell her medals to pay her mother's hospital bills. The story moved fourteen hundred readers to donate directly. But what few know: throughout Oanh's peak years, no achievement dataset was ever digitised in Vietnam. The medals existed only as physical objects. When she sold them, part of the memory of a whole generation of female athletes left the system with them.

The Contrarian Angle: The value of having nothing to analyse

There is an argument I often hear when raising the data issue in women's football: "There is no audience yet, so there is no need for data." It sounds economically reasonable, but it reverses causality. The absence of data is itself one of the reasons there is no audience. Modern fans consume data first, before they even watch the match. They check xG, look up player metrics, compare records before turning on the TV. A league without data barely exists in the discussion space of young fans.

At a deeper level, the lack of data prevents even those who care from caring deeply. I once tried to write a tactical analysis of an important women's match. But with no passing data and no running map, I could only write from direct observation. The piece still came out, but its depth was capped by that very absence. This is the trap I always warn myself about: do not turn a lack of data into emotional tragedy. Turn it into a policy question.

Once, an editor told me that articles about women's football are "not attractive" because they lack statistics. I responded that if so, the problem is not the women's team — it is that we have not paid for the statistics. That is a story about budget allocation, not about playing ability. Any newspaper can describe a fine passage of play. But only newspapers with data systems can prove whether that passage is an outlier or the standard for that player.

This leads to an uncomfortable conclusion: the commercial value of women's football in Vietnam will not rise significantly unless the data problem is solved alongside the wage and broadcast problems. Not because data directly creates audiences, but because data creates verifiable stories. And verifiable stories are what sell to sponsors. I saw this happen in one specific case: after an article about income disparity between women's and men's players at the same club spread on a personal blog in 2026 with two thousand three hundred shares, a benefactor funded fifty million dong for the Hanoi youth women's team. That money did not come from pity. It came from specific numbers placed side by side, needing no commentary.

The Takeaway: From empty cells to strategy

There is a principle I have kept throughout my career: one number must travel with one fate. Never present data without a human story. But also never tell a story without data. In the case of Vietnamese women's football data, the empty cells themselves are the data. We know a great deal from knowing what we lack.

The Da Nang Department of Culture and Sports once issued a support package of one hundred million dong after the series about female athletes without income insurance during the pandemic. That is a precedent showing policy can change when statistics are made public. But that package addressed income, not data. The two problems cannot stay separate for long. Without data, the next policies will again be designed on gut feeling, and the players who were never recorded will again be skipped in the next loop.

What I want to see in three to five years is not a big media campaign for women's football. I want to see a spreadsheet filled in. A person sitting on the touchline with a notebook and patience. A data provider signing a contract with the women's league because a newspaper, a federation, or a sponsor agreed to pay first. I want to see column C no longer empty next season.

In a short interview with a young female player, I asked what she would wish for if she had one wish. She said she wished someone would remember the names of the matches she had played. Not goals, not medals — just the match name and the date. I wrote those two lines in my notebook. Since then, whenever someone asks why I keep writing about such small numbers, I retell that wish. When a player is not recorded, she does not merely lose money. She loses the ability to be remembered accurately. And that is a loss no salary can compensate.