The Void Without Data: When Women's Sports Are Erased From Statistical Memory

I still remember that evening. A blurred VHS tape, the static hiss of an old player, and on the screen a women's football match that took place more than two decades ago. No statistics table. No minutes played. No player names running along the bottom of the screen. Only images, fragmented commentary, and a scoreline I had to rewind several times to be sure of. When the match ended, I realised that what haunted me was not the goals. It was the silence of the data. Nobody recorded it. Nobody counted it. Nobody saved it. An entire generation of female athletes played, scored, wept, and won — and then vanished from the statistical memory of the sport they had given themselves to.

I have been in sports reporting for nineteen years. I have stood on small athletics tracks in Japan, sat in Tokyo studios analysing footage of Asian women's championships, and read through thousands of old news items searching for a name that had been left out. And what I have learned, after all of it, is a truth that is not especially comfortable: most of the history of women's sport was erased from the data before anyone had a chance to argue about its value.

This is not a story about a defeat. It is a story about a void. That void is so wide that when you try to analyse a women's match from the 1990s, you find you have nothing to analyse except the memories of the people still alive. And memory, however beautiful, is not data.

When an analysis begins with an empty cell, every conclusion that follows is speculation dressed in language.

I once sat in a newsroom meeting where someone proposed a deep analytical piece on a national women's football league. We had team names, a fixture list, and a few photographs. But when we opened the statistics software, most of the columns were empty. No touches. No distance covered. No injury data. No possession breakdown by half. A young reporter asked: 'So what do we write from?' The answer at the time was: 'From what we see.' But what do you see when you do not even have a complete recording?

There is one name I always return to when I think about this void. Riko Ueki. In 2026, when I had just moved to a digital sports outlet in Japan, I was assigned to the Nadeshiko League — the country's top women's football division. It was a league that almost nobody followed, almost nobody fully tracked, and certainly nobody treated as a source that could generate headlines. One afternoon, I happened to watch a match between Tokyo Verdy Beleza and INAC Kobe Leonessa. An eighteen-year-old came on, and in the final six minutes she scored twice, turning the game into a three-two win. Her name was Riko Ueki.

I wrote an analysis. I called it a small earthquake in women's football. I sent it to my editor. He read it, nodded, and said a sentence I still remember word for word: 'Nobody cares. This league has no readers.' I did not give up. I published the piece myself on my personal account. It spread. More than five thousand shares. A sponsor called. And my career turned in a different direction.

But the point I want to make is not a personal success story. The point is this: if I had not happened to watch that match, if I had not put in the work myself, then those six minutes of Riko Ueki would have drifted into oblivion. No system recorded them. No database stored them. No algorithm discovered them. A talent appeared, played well, and disappeared — only because nobody counted.

We tend to think data is neutral. A number is a number. But it is not. Data is a political act before it becomes a technical tool. Someone has to decide to record it. Someone has to decide to pay the person who records it. Someone has to decide that this moment is worth counting and that moment is not. For more than a century, men's sport has been counted, measured, archived, and analysed down to the smallest detail. Women's sport has had to prove that it deserves to be counted — and has usually failed, not because it played badly, but because nobody sat there with a pencil.

The silence of the data is not evidence of inferiority. It is evidence of indifference.

Imagine what happens when a women's sport enters the analytics era without a historical data foundation. You have a young player. You want to know whether she is improving or stagnating. You want to know how she compares with the previous generation. You want to know where she stands in the regional picture. But you have no year-by-year performance curve. You have no comparative data. You have only a few scattered observations, a few short clips, and a few notes someone wrote in a hurry and then forgot. You are analysing on sand.

I once sat with a women's athletics coach on the outskirts of Tokyo. She said something that stopped me: 'We do not keep detailed records, because even if we did, nobody would read them.' She coached young female athletes from fourteen to twenty. She followed each of them for years. She remembered who improved, who was injured, who quit. But all of that memory lived in her head, not in a database. When she retires, it will disappear. An entire generation of living data disappears with one person.

The same thing happens on a larger scale. National women's championships in many places were not fully filmed. Women's national team qualifiers were often preserved only in a few short clips shot by spectators on phones. Individual performance tables were sometimes kept on handwritten sheets and then lost in a federation's office move. Nobody destroyed anything on purpose. It was simply that nobody treated it as an asset worth protecting.

Men's football, meanwhile, has dozens of independent databases. Every pass, every press, every off-ball run is recorded and sold to broadcasters, to clubs, to bookmakers, to analytics academies. An eighteen-year-old male player can be assessed through thousands of data points before he touches a ball in professional competition. An eighteen-year-old female player, in most countries, enters professional competition with almost nothing for anyone to compare her against.

This asymmetry creates a self-reinforcing spiral. No data, no analysis. No analysis, no serious debate. No debate, no compelling content. No compelling content, no audience. No audience, no sponsors. No sponsors, no money to hire people to record data. And the loop closes, exactly as it was thirty years ago.

I went through a small incident that made me look at all of this again. In 2026, thanks to the Ueki piece, I was invited as a guest commentator on a television programme about the World Cup held in Russia, in charge of what they called 'the soft power of women's football'. During a group-stage match between Japan and Colombia, I mispronounced the name of an opposing defender three times. Viewers mocked me online. I was ashamed. But instead of hiding, I decided to learn. I spent a month rewatching footage of every team in the tournament, noting every tactical variation, every personnel change. I learned to read a match through data, not only through feeling.

And in that month, I realised the most frightening thing about the data void in women's sport: it is not only a problem of the past. It is repeating right now, before our eyes, just covered by a glossy layer of a few numbers full of promise. We may be at a moment when the void is narrowing, or we may be at a moment when it is being hidden. And the difference between those two scenarios depends on whether we treat women's sports data seriously.

A blurred recording, a mispronounced name, and a whole life lit up.

When I talk about the data void, I am not only talking about missing numbers. I am talking about the professional consequences of missing numbers. Take the assessment of a striker. In men's football, a striker is judged by expected goals, by conversion rate, by touches in the box, by the quality of shots from each position. With a female striker in a lightly tracked league, what do you have? You have goals. That is it. And when you only have goals, you judge a player by the final result of what others created for her, not by her own true quality.

This is where I disagree with the way xG is being misused. I hold a fairly firm view on this after years of reading data: xG cannot explain match decisions, player form, or refereeing standards. It is a tool built to describe probability in a very specific context, and it is only trustworthy when there is enough data behind it. In women's sport, where data is often missing, xG becomes a number presented as objective truth, when in reality it is only a guess wearing a numerical coat.

But the bigger problem with xG is not the tool itself. It is the ambition to use it. Many organisations want to leap straight into the advanced analytics era while skipping the most basic step: collecting foundational data honestly. They want a beautiful dashboard, an xG chart, a metric ranking. But when someone asks where the raw data is, the answer is often: 'We aggregate from multiple sources.' And those 'multiple sources' are sometimes three old articles, two video clips, and a spreadsheet nobody has verified.

I once witnessed an internal federation debate about whether to invest in a statistics system for the women's league. The opponent made a very 'practical' argument: the cost of data collection is high, the viewership is low, so it is not economically efficient. The supporter replied: without data, there will never be viewers. The debate ended without resolution. And another women's season passed without being fully recorded.

There is another side of the problem that I think gets too little attention: injury data. I have spoken about how an athlete's return timeline is often controlled by the team's PR department, and how the phrase 'wait until the weekend' usually means the injury has not healed. This is especially true in women's sport, where resource pressure often forces athletes back onto the pitch sooner than their bodies allow. But how do you detect that if you do not have full medical data? How do you compare a player's recovery time across seasons? How do you know whether a knee injury today is connected to the workload of three years ago?

I once followed a young female athletics athlete for several years. She ran well, improved steadily, then stopped suddenly with an injury. When I asked about her injury history, there was no documentation to provide. No training-load tracking sheet. No rehabilitation record. No data on the menstrual cycle, which is a major factor in performance and bone health for female athletes. She had run thousands of kilometres over several years, and nobody had systematically recorded what happened to her body along the way.

This is not a small oversight. It is a void that can destroy a person's career. When there is no data, injury prevention becomes a gamble. Return to competition becomes a wager. Workload management becomes an oral art, dependent on the personal experience of each coach, instead of resting on verifiable and shareable evidence.

I think of Akemi Noda. In 2026, when the pandemic postponed every competition, I fell into the emptiness that any sports reporter has experienced: no matches to report, no events to analyse, just an endless empty schedule. I went to the archive of the broadcaster where I worked, and there, on a dusty shelf, I found a tape of the final of the 2026 Asian women's football championship, where Japan lost to China nil-two.

I watched that tape. The image quality was very poor. I decided to find the people still alive who still remembered. I interviewed a former midfielder named Akemi Noda by video call. She told me about the years when she was banned from playing football simply because she was a woman. She talked about having to wear different clothes, having to compete in stadiums with no spectators, having to cover her own costs. She spoke without complaint, simply telling it, as if recounting a story too old to still hurt. I made a five-part podcast series called 'The Doors That Closed in Silence'. It reached more than two million listens. And I realised something I had only vaguely sensed before: the history of women's football is full of forgotten stories, and they need to be retold — but to retell them honestly, I had to confront a paradox.

The paradox is this: the most important stories are often the ones with the least data. I have a blurred tape. I have the account of a woman who was there. But I do not have accurate match data, no complete lineups, no information about players' fitness, no injury context. I had to tell the story using the material of memory, and while doing so, I had to keep reminding myself that memory is not data. Memory can be distorted by time, by emotion, by the wish to be remembered in a certain way. A serious reporter must know the difference between what they are told and what they can verify.

Under the dust of an old season, there are matches that have never fallen silent.

Here is where I want to offer a view that may be controversial, but which I believe is correct after years of observation. The story of the data void in women's sport is usually told in one of two ways. The first is the victim's way: women's sport was abandoned, not invested in, not recorded, and that is unfair. The second is the optimist's way: everything is changing, there is more data than ever, there are more viewers than ever, the future is bright.

Both tellings are partly right, but both miss something important: the data void is being filled unevenly, and that unevenness may create a new stratification within women's sport itself. Women's leagues in well-resourced countries are rapidly acquiring data volumes equal to — sometimes surpassing — those of men's leagues in smaller countries. Female players in top European football nations are being analysed with the most sophisticated tools. Meanwhile, female players in developing countries, or in regions seen as peripheral, are still playing in the dark.

This means the story of women's sport is no longer simply a story about being treated fairly compared with men's sport. It is becoming a story about redistributing injustice within women's sport itself. And if we do not see that, we may be celebrating progress built on a new foundation of inequality.

I once spoke with a data analyst working for a women's football organisation in Europe. She told me about the effort to build a global database for women's football. The work is far harder than doing the same for men's football, because in many places the basic data does not exist. She has to work with local federations, exchange emails for months, sometimes only to obtain a league's squad list. There are leagues where nobody knows exactly how many teams are competing until the tournament ends.

This is not a story from a century ago. It is a story from recent years.

Yes, at the highest level, women's sport has made leaps. Women's world championships draw millions of viewers. Top female players have large sponsorship deals. Professional women's leagues in Europe and North America are expanding rapidly. Data for these competitions is being collected with increasing detail. But beneath that surface is a different reality.

Take youth competitions. Youth competitions are where talent is discovered, assessed, and shaped. In men's sport, youth competitions are usually fully filmed, carefully tracked, and analysed by experts from big clubs. In women's sport, many youth competitions still take place with almost nobody recording them. A brilliant sixteen-year-old female player can compete in a youth tournament without a single quality recording, without a single complete statistics table. If she lives in the right place, and if the right person happens to be watching, she may be discovered. If not, she may keep playing in her local league until the opportunity has passed.

This is where the data void becomes a cruel filtering mechanism. Not filtering by talent, but by geography, by resources, by networks. Female players in well-connected regions will be seen. Female players in forgotten regions will not. And because there is no data, we have no way of knowing what we are missing.

There are players who never make the front page, but who score in my heart.

When I talk about the value of data, I want to distinguish clearly between two things that I see often conflated in recent debates: commercial value and competitive value. This is where my counter-intuitive angle appears, and I think it deserves to be said plainly.

The women's sports industry currently has a trend: talking about commercial value as if it were the ultimate measure of progress. A league with rising revenue, a player with a big sponsorship deal, a match with a record audience — these are the signs that get celebrated. And of course, commercial progress is genuinely meaningful. Pay for female players is rising. Training conditions are improving. Professional security is strengthening. These are good things, and anyone who denies it is fooling themselves.

But there is a problem I see rarely discussed: when commercial value becomes the main measure, data about women's sport tends to be shaped to serve commercial goals, rather than to describe accurately what is happening on the pitch. The metrics chosen are the ones that are easy to sell, easy to highlight, easy to turn into stories. Details that are hard to sell — such as the quality of a press, a shift in tactical structure, the level of physical fatigue over time — are often ignored.

I recall a conversation with a women's football coach in Japan. She told me she did not need more data about her players' goal counts. She needed data about how far her players ran in a match, at what speed, at what moment. She needed data about how her players reacted after conceding a goal. She needed data about how her players changed their play when the opponent exploited a weakness. This is data with genuine competitive value, but it does not generate headlines. And because it does not generate headlines, it is often not collected.

This is what I call the paradox from my own experience working across two different sporting cultures. In Australia, where I was born and began following sport, women's sport has a long tradition of being invested in to some degree, recognised to some degree. In Japan, where I live and work, women's sport has a different tradition: sometimes celebrated very highly, but often celebrated on the basis of a few historic moments, while most of what happens day to day is left forgotten. I do not want to say one country is better than the other. What I want to say is that both have blind spots, and those blind spots are often hidden by success stories repeated over and over.

The story of a women's national team winning the world championship is a beautiful story. But it says little about the quality of that country's domestic women's league. The story of a female player signing a million-dollar contract is a beautiful story. But it says little about the conditions of thousands of other female players competing in leagues nobody follows. When we look only at the peaks, we may think everything is getting better. But to know the truth, you have to look at the base of the iceberg, and there, the data is often silent.

The pandemic locked the stadium doors, but it could not lock away the old footage.

There is one thing I learned from my years digging in archives: data is not only raw numbers. Data is also recordings, match reports, photographs, coaches' notes, medical records, even the handwritten jottings of a reporter who has died. All of it has value, and all of it can be lost if it is not cared for.

I once found a box of old documents in a federation office about to move premises. Inside were handwritten squad lists of women's national teams from decades ago, yellowed with age. There were sheets recording match results I had never seen in any database. There were photographs of teams with no names on them. I spent many days digitising these documents, not because they would be used for any specific article, but because I knew that if they were lost, they would be lost forever.

This is work few people want to do. It is not glamorous. It does not generate views. It brings no glory to the person doing it. But it is the work required to preserve the memory of a sport. And I believe that in a few decades, when researchers want to rewrite the history of women's sport in full, they will depend on the people who did this quiet work today.

I think of a paradox: we live in an age with more recording tools than ever. Smartphones can shoot high-quality video. Online platforms can store millions of hours of footage at low cost. Automated analytics tools can process data quickly. Technically, we have the capacity to record and preserve women's sport better than any previous generation. But capacity does not equal action. We can record everything, but do we actually do it?

The answer depends on whether we consider women's sport worth recording. And this is where I become less optimistic than I would like. Because the decision to record or not is not only a technical decision. It is a decision about value. And decisions about value are usually driven by deeper structures of interest than we like to admit.

I remember a conversation with a television producer about whether to broadcast a women's tournament in full. He told me the issue was not the quality of the tournament, but the production cost against projected advertising revenue. If the cost exceeds projected revenue, the tournament will not be broadcast in full, no matter how good it is. This is the logic of television business, and it explains why many women's tournaments are still not fully recorded, even in an age when technology has become far cheaper.

But there is a point this logic misses: the value of recording does not lie only in direct broadcast revenue. It also lies in the long-term value of creating a historical archive, a database, a foundation that enables analysis and development in the future. This is a value hard to measure in immediate advertising revenue, but no less important for that.

I once heard an argument that women's sport needs to 'stand on its own two feet' economically, that it should not depend on subsidies or support. On the surface, this sounds reasonable, but it ignores a historical fact: men's sport did not stand on its own two feet for most of its history either. It was subsidised by schools, by the state, by clubs, by television, by corporations. It was built on an infrastructure foundation that generations invested in. Women's sport is being asked to walk a road that men's sport had carpeted for more than a century.

And the data void is part of that injustice.

My most valuable mistake was thinking I had to be perfect on camera.

When I think about the future of women's sports data, I think of two things. First, I think about the changes happening at the grassroots level. Second, I think about what has still not changed at the structural level.

At the grassroots level, there are positive signs. More independent organisations are collecting data for women's leagues. More women's clubs are investing in analytics departments. More academies training female players are being built with modern tracking systems. Women's matches at the highest level are now fully filmed and carry detailed data. These are real advances, and they are opening new possibilities for deep analysis.

I had a small but memorable experience analysing a women's match at national level recently. For the first time, I had enough data to conduct a genuinely complete tactical analysis. I could watch every pressing phase, measure the distances between lines, identify structural changes between halves. This is something that ten years ago I could only do vaguely by rewatching footage many times. The difference is stark, and it shows the potential of having full data.

But at the structural level, the situation has not changed much. The gap between women's sporting nations remains wide. Well-resourced countries still lead, and the gap may widen further. Smaller leagues still risk being left behind in the data era. And the most fundamental issue — the decision to record or not — still depends on the structures of interest I mentioned above.

This is why I think the story of the data void in women's sport is not over. It is only changing shape. From a complete void, it is becoming an increasingly complex system of stratification. And while we celebrate the progress achieved, we need the courage to look at the voids that remain, and the new voids being created.

I once said that I learned to write through my mistakes. I mispronounced an athlete's name, and I learned to cross-check information. I wrote a piece my editor rejected, and I learned to trust my own judgement. I stood before the memory of a generation of forgotten athletes, and I learned that data is not just a tool. Data is a way of saying: you exist. What you do has meaning. And it is recorded, seriously, so that those who come later can look back and learn.

When I look at the data void in women's sport, I do not see emptiness. I see a responsibility. The responsibility to record. To count. To remember. And the responsibility to acknowledge humbly that when the data is silent, we cannot analyse. But we can still act. We can still start recording.

When the whole world stopped, I started digging. And what I found was not only history.

There is one thing I have not yet said, and I want to say it here, at the end of this piece. When I began digging into the history of women's sport during the pandemic, I thought I was looking for stories. But in the end, what I found were people. Women who played football when nobody watched. Coaches who taught athletics to girls when there was no money. Journalists who wrote about women's sport when no broadcaster would air it. Sponsors who quietly put money into small tournaments, not for advertising, but because they believed in something.

I think of those women when I think of the future of women's sports data. And I think the important question is not whether we have enough technology to record everything. The important question is whether we have enough determination to piece together the fragments that were lost, to rebuild the memory of a sport that was forgotten for too long, to give the next generation a firmer foundation to stand on.

In nineteen years in this profession, I have learned that the important things are usually not at the peak. They are in the gaps. They are in the overlooked details. They are in the mispronounced names. And they are in the data that was never recorded, the moments never counted, the stories never told.

I do not know whether I can fill that void. No one can do it alone. But I know that every time I record something — a name, a match date, a small moment on the pitch — I am doing my part to resist the silence. And I believe that if enough people do the same, the void will narrow. Not in a year, not in a decade, but across generations.

There is one last thing I want to say. If you are a female player, record what you do. If you are a coach, keep your players' records. If you are a reporter, cross-check before you write. If you are an administrator, invest in data collection even when the immediate benefit is not obvious. Because the memory of a sport is built not by big moments, but by thousands of small decisions to record, to count, to remember.

And when you do that, you are telling the world that women's sport is not a void. It is a history, still being written, one day at a time.