The Uncounted: Women's Sports and the Fight for Data

The match ended at 9:47 in the evening, and I was still sitting in the worn wooden stands of Harvard Stadium. The Boston Breakers had just lost 0-2 to an unremarkable visiting side, but the scoreline was not what kept me there. I was looking for Morgan Andrews. She came on in the 71st minute. Seven touches. Not a single shot. That was everything I knew about her twenty minutes in that match, and everything anyone could possibly know. I opened my phone and searched the league's official statistics page. I wanted to know how many kilometres she had run. Nothing. I wanted to know her chances created, her through-balls, her duels won. Nothing. I wanted to know her average heart rate, her maximum sprints, her distance covered at high speed. Nothing at all. A professional player in the top league in the United States, and the world had recorded only two numbers about her: the minute she entered and the number of touches. That night, driving back to my small apartment in Allston, I realised I was writing about a sport starved of data. It sounds dry, but it is not dry at all. Missing data does not merely leave a statistics table empty; it renders a person invisible to history. There are matches whose scorelines are never recorded, because people choose to forget. And that forgetting begins very early, at the recording stage, at the question of who gets counted and who does not. To understand why a player like Morgan Andrews walks onto the pitch with an almost empty data dossier, we need to step back a little into history. Women's football is not a new sport. It was systematically banned in many countries for much of the twentieth century. The English Football Association banned women from playing on member clubs' grounds from 2026, and the ban was only lifted in 2026. Half a century erased from the pitch, and with it half a century of data that was never born. Meanwhile, the men's sports data industry began to boom from the mid-1990s. Companies like Opta started recording every pass, every duel, every shot of men's matches in Europe. By the early 2010s, one could look up data on a full-back in the English second tier with detail down to every square metre of movement. The National Women's Soccer League, the NWSL, was only founded in 2026, and for many of its early years it had to operate without a real data system. I remember the summer of 2026. The men's World Cup was taking place in Russia, and I wrote an analysis piece for a site specialising in women's football. I counted 64 men's matches broadcast with dedicated commentators, analysis teams, real-time data graphics, and dozens of independent statistics sites updating by the minute. At the same time, the national women's championship of the United States itself did not have a single national television contract. Fans who wanted to watch a women's match had to fumble across online platforms, and if they were lucky enough to find one, they would discover that nobody had bothered to record who ran the most. My editor, Jess, read that draft and called me a dreamer with evidence. She said I had a habit of telling a beautiful story and then throwing a number in like a knockout punch. I have kept that approach to this day, but I learned one thing from Jess: sometimes the absence of a number is itself the story. That is why I started documenting the gaps. Not to prove that women's sport is inferior, but to show how the recording system has abandoned it. And over the years, I have discovered that those gaps are not random. They have structure. They have intent. They are the product of decades of decisions about who deserves to be measured. I began with tracking data. In men's football, optical and GPS tracking systems have long been standard. Each player wears a small device on the back of the shirt, and every stride is recorded. Men's teams analyse this data to adjust training plans, prevent injuries, and even to value players in the transfer market. But when I asked NWSL clubs in 2026, most of them told me they had only limited GPS data, and usually used it to monitor training load rather than for tactical analysis. This asymmetry has practical consequences. When a female player negotiates a contract, she enters the negotiation with very little quantitative evidence of her value. Her agent cannot present a table showing she creates more chances than a peer in a similar position, because that data does not exist. A male player in the English third tier, by contrast, can present a dossier dozens of pages thick to demand a higher wage. I saw this firsthand while following the story of a Scottish midfielder, Fiona Brown. She played for Celtic, and during a meeting on the sidelines of an event in Doha, she told me about the difficulties she faced, about wanting to leave. Three months later, I was the first to confirm her transfer to Arsenal for what was reported to be a record fee for a Scottish female player, around 800,000 euros. But the remarkable thing is not the 800,000-euro figure. The remarkable thing is how that figure was set. It was not based on a data valuation model like men's transfers. It was based on a negotiation between two clubs, a few phone calls, and a great deal of guesswork. In men's football, a transfer worth 800,000 euros would be valued by algorithms analysing hundreds of variables: age, minutes played, expected goals, expected assists, commercial value, growth potential. In women's football, that figure is largely decided by feeling and faith. That sounds romantic, and sometimes it genuinely is. But it is also a way of maintaining an ambiguity that benefits those in power. When there is no data, no one can prove that a female player deserves to be paid more. When there is no data, every wage negotiation becomes a battle of subjective belief. And when subjective belief is the only measure, people tend to value women lower, because prejudice is always cheaper than analysis. Every contract with a woman is a promise postponed indefinitely. I wrote that line a few years ago, and I still believe it is true, but now I understand the mechanism of that postponement better. It is not that people refuse to pay. It is that people refuse to measure before they pay. Look at sports medicine. For decades, most sports science research was conducted on men. Training guidelines, injury rehabilitation protocols, nutritional thresholds were all built around the male body. When female athletes enter that system, they are forced to adapt to a set of standards not designed for them. The consequence is that anterior cruciate ligament injury rates in female athletes are significantly higher than in men across many sports, especially football. I spent months reading studies on ACL injuries in female players. What I found was not a simple explanation. There are biological factors, endocrine factors, structural factors. But there is another factor mentioned far less often: many female players train according to programmes designed for men, and there is not enough data to adapt them to the female body. The data shortfall does not merely leave a statistics table empty. It makes women's knees pay the price. I remember an evening in 2026, when the pandemic halted every league. I was in the middle of interviewing former national team player Brandi Chastain for her biography. The city was empty, and I was stranded in my Boston room, with only interrupted video calls. After two months, I broke down emotionally. I realised I had idealised Chastain into a perfect icon, when in reality she had struggled with injury and depression. I deleted the entire 300-page manuscript and started again from scratch. But this time, I did not begin with the image of her taking the penalty in 2026. I began with what no one had recorded. I searched for her training diaries, notes about her knee pain, the times she had to withdraw from a session without anyone noticing. Most of it did not exist in any official archive. I had to reconstruct it from her memory, from conversations with old teammates, from scattered fragments. The biography fell apart during the pandemic, but the story is never cancelled. I learned that when official data does not exist, memory becomes the only source, and memory is always biased. It is a poor way to record history, but sometimes it is the only way women in sport have. The data gap also spreads into commerce. When I started writing about the NWSL in 2026, I tried to find television audience figures for the league. Nothing. I looked for per-club ticket revenue. Nothing. I looked for the brand value of each team. Almost nothing reliable. How can you attract a sponsor when you cannot prove how many people are watching? By 2026, when I was sent to Doha to write about women's sport in the Gulf, things had changed somewhat. But the change was uneven. Major tournaments like the Women's World Cup began to have full tracking data. But national leagues in many countries continued to operate in a data darkness. And when you have no data, you have no evidence to negotiate, to invest, to grow. I remember a conversation with an executive at a small women's club. He told me his team's biggest problem was not a lack of fans, but a lack of evidence about fans. He knew people were watching, but he could not prove it to a potential sponsor. No accurate attendance data, no properly analysed social media engagement figures, no growth forecasts. And so he was turned down. That was when I understood that data is not merely an analytical tool. It is a political weapon. Whoever controls the data controls the story. Whoever controls the story controls the money. And for decades, women in sport controlled nothing at all. I write to recover the names that history has edited out of the line-up. That is why I never begin an article with a statistics table. Because in women's sport, the statistics table is often where the story ends, not where it begins. If I open with a number, I am pretending that number is reliable. But most numbers in women's sport have holes, and my job is to point them out. The irony is that while data on women's sport is scarce, there is an abundance of emotional data around it. Articles about women's sport are often awash with words like inspiring, resilient, overcoming. But very few discuss minutes played, expected goals, or pass completion under pressure. People prefer the story of women's resilience to the story of their tactics. And that is why I began to feel uneasy about my own profession. I had written too many pieces about women overcoming adversity. I had used words like warrior and legend too many times. But looking back, I realised those words were often a way of filling the gap that data should have filled. When you have no figures, you have emotion. And emotion is easier to sell than figures, but also easier to forget. My turning point came in 2026, in Paris. I covered the United States women's football team winning gold, and I wrote a portrait of forward Sophia Smith, who scored the decisive goal. I had prepared a perfect framework about a pure female warrior. But after the match, Sophia declined to be interviewed. She was negotiating a sponsorship deal, and she was worried about her commercial value more than the inspiring story I wanted to tell. I was angry for a moment. Then I realised my anger was the anger of an idealist. I wanted Sophia Smith to be an icon. But she wanted to be a professional athlete paid what she deserves. And in a world where data about her is still scarce, her having to negotiate her own value is a rational act, not a betrayal. My idealisation of the pure female warrior collapsed entirely in Paris. And in that collapse, I found something more honest. I understood that female athletes are not victims to be pitied, nor heroes to be worshipped. They are people with inner contradictions, with ambitions, with calculations, with decisions I may not like but must respect. After Paris, I changed how I write. I still begin with everyday details, still build characters from small fragments. But now I bring data in earlier, and I no longer use it as a knockout punch. I use it as a confession about what I know and what I do not. There is a paradox I have not resolved, and perhaps never will. As data on women's sport becomes richer, it will give athletes tools to demand fairness. But it will also turn them into measured, valued, optimised products. I have seen this in other sports. Professionalisation tends to sand down individual personalities to produce uniform performance machines. In esports, where I once spent years observing, professionalisation turned players into assembly-line products. Individual playstyles, unexpected moves, instinctive decisions were sanded smooth in digitalised training. Data became the master, and people became its servants. I worry the same could happen to women's sport. When every stride is measured, every pass scored, every decision evaluated by algorithm, will there still be room for the unmeasurable? Will there still be room for a player who plays on instinct, on daring, on something that is not in any data model? This is what I call the paradox of the dreamer with evidence. I want data, because I know data is a tool of liberation. But I also fear data, because I know it can become a sophisticated prison. I want numbers, because numbers help women in sport claim what they deserve. But I do not want a world where only numbers count as truth. There are players' lives that never appear on a transfer list, but live in the silence between two touchlines. Morgan Andrews is one of them. She played 9 matches and scored 2 goals in a season, and waited tables to cover her travel costs. No data model can value her perseverance. But no data model can protect her from being forgotten either. I still keep in touch with Morgan. She has now left professional football and coaches children. She told me the thing she misses most is not the goals, but the feeling of being seen on a statistics sheet. Even once. Even one small number. She wanted to be counted. Between the whistle and the weeping, I hear the pulse of an ecosystem waiting to be named. An ecosystem of thousands of female athletes who played, ran, fell and rose, whose journeys no one bothered to record. They are not legends. They are forgotten numbers, and sometimes a forgotten number matters more than a worshipped legend. Looking back on the road from 2026 to now, I see change happening slowly but truly. Major women's tournaments now have better data systems. Female players are beginning to demand access to their own data. Researchers are beginning to pay attention to biological differences between male and female bodies in sport. The gaps are gradually being filled, one cell at a time. But I wonder whether we are filling the right gaps. Are we measuring what truly matters, or only what is easy to measure? Are we recording the stories of those on the edge of the pitch, or only focusing on the stars who have already been valued highly? I have no answer to those questions. I only know that every time I sit in an empty stand after a match ends, I still open my phone and look things up. And every time I find nothing, I understand a little more why I write. Not to fill the gap with perfect numbers, but to point out that the gap exists, and that it has a name.