When the Cell Reads N/A: Women's Sport and the Fight Against Invisibility

Hook

November 2026, at a small stand in Westwood, Los Angeles, I sat alone among seats that had already emptied, a notebook in hand, twelve UCLA Bruins women's soccer matches stored on my laptop. The match ended. Goalkeeper Jamie Ortiz stood up, brushed the mud off her gloves, and walked toward the tunnel. Nobody handed her a stat sheet. Nobody recorded the four penalties she saved out of nine faced that season. When I counted them myself the following night, the number was 44.4 percent — above the 32 percent NCAA women's average at the time. The university's website had the score, the goalscorers, the minutes played. The goalkeeper column was nearly blank.

I stayed up until almost midnight, rewinding clip after clip, taking notes on every phase, and I understood something simple and haunting: women's sport does not lack moments. It lacks people willing to record those moments. My first piece on Ortiz was shared more than 500 times. The team's loyal supporters found me, and I accepted an invitation onto the university's sports podcast. But what I remember most is not the share count. It is the chill of realizing that if I had not been sitting there, nobody else would have done the work.

Context

This is not the story of one goalkeeper, one university, or one season. It is the story of how sports statistics were built from the outset — by men, for men, and to the rhythm of men's football.

At NCAA level, advanced metrics such as expected goals, saves per 90 minutes, or goalkeeper position heat maps are collected fully only for men's competitions with television contracts. Women's competitions typically receive a minimal record: goals, cards, minutes. At international level the gap is wider still. FIFA began pushing advanced data for Women's World Cups from the mid-2010s, but even at the 2026 Women's World Cup in France, the volume of fully published metrics did not match the 2026 men's World Cup in Russia — despite the two tournaments differing by only a handful of matches.

In swimming, where I began my career as a reporter for a Vietnamese newspaper, the problem is subtler. Women's swimming has data — plenty of it — because swimming is measured in seconds and hundredths of seconds. But that data sits at the level of results, not at the level of story. We know how many seconds a swimmer takes over 200m individual medley. We rarely know why she lost 0.4 seconds in the third breaststroke leg, or what happened in her head at the final touch. The scoreboard is full; the story is empty.

This neglect is not loud. It does not arrive as a prohibitive ruling. It arrives as a strikethrough on a spreadsheet — or a blank cell marked N/A because nobody had the budget to send a recorder.

I have seen this from the other side. In 2026, when the Qatar World Cup consumed every front page, I interviewed midfielder Jessica Rodriguez of the United States women's national team. She told me a figure that made me stop the recorder and ask again: some sponsors had cut 30 percent of their women's football budget, on the simple grounds that the men's World Cup window had swallowed all the media space. That investigation ran in a reputable magazine and led to a broadcast agreement for women's football with a regional television station. But I always ask myself: if Rodriguez had not dared to speak, and if I had not been there to ask, where would that 30 percent have gone? It would have become another N/A cell.

Core Analysis

This is the section I want to spend the most time on, because the data gap is not merely a matter of fairness — it is a matter of tactics. When you have no data, you cannot analyse. When you cannot analyse, you cannot argue. When you cannot argue, people default to assuming that sport is simpler. That is how a prejudice gets legitimised by a spreadsheet.

Take an example from my own swimming background. A female 100m freestyle swimmer can be assessed across three metrics: reaction time off the blocks, underwater performance after the dive, and the tempo of the final two laps. For men, these three metrics are usually published separately, allowing cross-comparison between competitions and eras. For women, the data is often collapsed into a single total, or recorded only at major finals. The result is that when a female swimmer makes a significant breakthrough, we have no baseline dataset to determine where that breakthrough came from — from her start technique, her underwater dolphin work, or merely a good day.

In 2026, while the Russia World Cup was underway, I wrote an analysis of how the Japanese women's national team applied a high press, evidenced by 22.5 pressing actions per match at the 2026 Algarve Cup. The piece was shared by a digital sports platform, and it became my first regular writing contract. But the notable part was behind the scenes: to obtain that figure of 22.5, I had to rewatch the entire match footage and count each action myself. No data provider sold a pressing package for the women's Algarve Cup. If I had not spent two weeks, that number would not exist. And when the number does not exist, the story of a Japanese women's team pressing with all its heart has nowhere to stand.

The same logic applies to women's football at every level. Imagine a female goalkeeper playing in the American second tier. She may be the best in the league at positioning — the hardest skill to measure and the most important one a goalkeeper has. But because nobody records save percentage by zone, the number of well-judged advances off her line, or the quality of her long distribution, she has no convincing portfolio for a national team call-up. Meanwhile, a male goalkeeper at the same level can lean on a single data page to sell himself. This is the most dangerous blind spot: we are not merely short of data on women's sport; we are using that shortfall as a standard by which to undervalue women's sport.

The consequence is directly financial. If a female player has no metrics to prove her value, she has no leverage in contract negotiations, no basis on which to demand personal sponsorship, and no material for journalists to tell her story. The loop closes: no data leads to no story, no story leads to no audience, no audience leads to no revenue, and no revenue leads to no budget for data.

There is a deeper layer few mention: the economics of the data-provision industry itself. Sports statistics companies charge by match count and by metric complexity. A women's league has fewer televised matches, fewer wide-angle cameras, and fewer people willing to pay for data — which means the cost of recording per match is markedly higher than for a men's league. Purely on commercial grounds, ignoring women's sports data is a rational decision. And that is exactly what makes it a structural problem rather than individual laziness. You cannot ask a private company to go bankrupt in the name of gender equity.

I have seen this loop broken once, and it is worth recording. In 2026, when the pandemic suspended every competition, I organised an online forum with former players and UCLA students. One hundred and fifty people attended. What I remember most is that female players had, for the first time, a space to speak about their financial fears when the season was cancelled — fears no statistical table could capture. Afterwards we raised 5,000 US dollars to fund the team's travel costs for the following season. That figure is tiny next to a professional club's budget. But it is proof that when someone is willing to record and connect, a community will organise itself around a void.

The ripple down to youth level is even clearer. A fifteen-year-old girl in Vietnam who wants to know what she must improve to go further — what does she search for? She finds countless analytical videos about male football stars, and almost nothing about the position she plays. That absence is not merely an information problem. It is an implicit message: that her journey is not worth analysing.

Contrarian Angle

There is an assumption I want to challenge, even though it sounds reasonable: that if we pour enough data into women's sport, everything will automatically become fairer.

Not necessarily.

Data does not create value by itself. It creates value only when someone knows how to ask the right question. Across the sports industry we have witnessed a phenomenon I call data theatre: platforms publish hundreds of metrics for a major women's match, yet not one of them is used to change how the story is told. The number appears, is quoted in a few short posts, and vanishes. It creates a feeling of progress without producing structural change.

The deeper question is this: who gets to define what counts as a moment worth recording? In men's football, that standard has been shaped over decades and is continuously contested by the community. In women's football, that standard is still often set by outsiders — usually modelled on the men's game. A superb save by a female goalkeeper is judged on a scale built for male goalkeepers. A pressing sequence by a women's team is compared with that of a men's team. The comparison is not technically wrong, but it ignores that women's football has different rhythms, different space, and a different physical structure.

This is why I do not believe in the approach that says more data is the whole answer. What we need is not only more numbers, but numbers designed for the sport itself. A single metric on the running distance of a female midfielder in a national league may be more useful than ten metrics copied from the men's game — because it forces us to look at the reality of the match rather than at a ready-made template.

And there is another trap: when data becomes the only yardstick, whatever cannot be measured is treated as if it does not exist. I have spent my career writing about moments that cannot be measured — the loneliness of a substitute, the fear of a young goalkeeper after a mistake, the pressure on a female coach in an all-male meeting room. If we simply chase data, we will repeat the old mistake with a new tool.

Takeaway

Back to Jamie Ortiz and that November 2026 evening. What I learned was not how to count penalty saves. What I learned was this: every time a data cell is left blank, somewhere a woman is competing and nobody knows what she did.

Women's football has never taught anyone to be silent. But the record-keeping system has spent decades trying to do exactly that — by not asking, not counting, not publishing. When the stands were empty, our community started knocking on doors. Now that the stands are gradually filling again, the next question is whether the people sitting in the data rooms will open up.

I write for the girls standing at the corner of the pitch, waiting for one chance to get on. But I also write for the people behind the calculation desk, the ones with the power to decide which of those moments deserve to be recorded. A signature is quiet, but it can rewrite an entire ecosystem. And sometimes the most radical act is simply filling in a blank cell.