The Women's Football Data Gap: A Season Without a Single Metric

One night in November 2026, I reopened a spreadsheet after a Frauen-Bundesliga match. Column A held player names. Columns B, C and D held minutes, passes, ball recoveries. Column E, where PPDA — the number of passes an opponent is allowed per defensive action — should have been recorded, sat empty. I had not forgotten to fill it in. No one had recorded it for me to fill. The data providers do not scrape the women's league. The broadcasters do not air it. No one sits in the stands to count every pass. In men's football, a second-tier match in Bavaria has xG, heat maps, full passing reports. In women's football, even in the German top flight — one of the strongest leagues in Europe — there are matches that exist in no public database at all. The match had plenty worth recording. The problem was that no one bothered. I began following women's football at sixteen, when I happened to watch FC St. Pauli's women's team play in Hamburg and lose 0-5. A 0-5 defeat says nothing about the loser; it says something about the person who stays to watch until the final minute. I rewound the footage again and again, logged fourteen tactical fouls, and found a simple pattern: every goal conceded came from the gap between full-back and centre-back. When I opened the stats pages to cross-check, there was nothing there. No gap maps. No count of defensive lines broken. Only the scoreline, and a summary line written by someone else. That shortfall was not the story of a single match. It has a long history. For decades, women's football was treated as something not worth recording. The Frauen-Bundesliga was founded in 2026, yet only in recent years has it gained an official data sponsor. The big statistics providers have expanded their coverage of the women's game systematically only over the past half-decade, and they usually start with Women's World Cups, where the audience is large enough to sell a data package. The domestic leagues — where players actually train, compete and earn a living — are left behind. The consequence does not lie in the numbers themselves. It lies in the fact that when numbers are missing, people fill the gap with prejudice. Without data, people are forced to trust memory. And collective memory is always biased. A spectacular moment is remembered. A quiet run off the ball is not. In men's football, every time a midfielder presses out of position, the system logs it immediately. In women's football, if no one is recording, then by the end of the season the player who reads the game best can be rated below someone who only scores from the penalty spot. In 2026, when the leagues paused for COVID-19, I sat in my flat in Hamburg and downloaded forty Women's Champions League matches from 2026 to 2026. I wrote a Python script to analyse the average positions of central midfielders — Amandine Henry, Dzsenifer Marozsán, the players who set the tempo from the middle third. At first I only wanted to satisfy my curiosity. The results went far beyond it. Across those forty matches, I logged the position of every central midfielder minute by minute. What I found was that women's players move in patterns different from their male counterparts, and those patterns appear in none of the tactical literature I could find. Women's football is not a smaller version of the men's game. It is a world with its own rules. But that world is described only through narration, never through data. From there, I built an open dataset on three hundred and fifty European women players and published it free on my blog. An editor at the online magazine Fussball im Norden, who had read the blog, got in touch and invited me to contribute. Through a practical habit and a taste for solving problems with technical tools, I turned the empty pandemic season into a career turning point. But I am not telling this story to talk about myself. I am telling it because it shows one thing: when the system does not record, individuals have to record for themselves. And that is an unfair burden. People told me I did not understand women's football. I opened Excel, entered the data, and rewrote the story. The numbers answered for me, cold and irrefutable. But I know my own limits: data does not lie, but it also does not feel pain. I write to fill the gap between those two things. The data gap causes three specific kinds of damage. First, tactical damage. Without positional data, no one can prove how well a zonal defensive block actually functions. Tactical analysis has to rely on subjective observation, and subjective observation tends to blame individuals. A defender criticised for a goal conceded may in fact have been covering a space a team-mate abandoned. Without a map of how the shape shifted, the error is pinned on the wrong person. I saw this in my own fourteen clips from the St. Pauli match: in three of them, the player blamed for the goal was only running back to cover a gap no one else would close. Second, damage to players' careers. Scouts rely on data. If a women's player in a domestic league has no metrics, she is almost invisible to big clubs. In men's football, an average midfielder in the second tier can still be discovered through a data model. In women's football, that path is usually closed. A player is seen only when the national team calls, and by then it is late for her youth. Third, commercial damage. Sponsors want to see a return. Without audience figures, engagement figures, season-on-season growth figures, women's football is treated like a charitable donation. The money that flows in is not measured, and what is not measured is not protected when budgets are cut. This is where I want to stop, because of a paradox that is usually overlooked. People say women's football does not yet have enough commercial value to invest in. But commercial value can only be measured when data exists. You cannot ask something to prove its worth using a tool you refuse to give it. Men's football received its entire measurement infrastructure for free over decades, then used that very infrastructure to prove it deserved broadcast rights fees. Women's football is asked to reach the same result while being denied the basic infrastructure. Financial reporting pressure weighs on sporting decisions, and here it weighs on the very chance to be measured. I am not writing these lines to demand recognition. Quiet defiance does not need to be displayed. The louder you shout for acknowledgement, the more you look like the weak begging for help. I only record what I can count. There is one more thing data cannot measure: the silence in the dressing room. After that 0-5 defeat years ago, I stayed until the floodlights almost went out. No one filmed me. No metric recorded that moment. But it existed. Some defeats matter more than goals, if someone is willing to write them down. Over the past three seasons, I have noticed a slow but real change. Clubs such as Bayern Munich and Wolfsburg have invested in dedicated analytics departments for their women's teams. Data providers have started opening free packages for the women's game to drive coverage. German television broadcasts more matches live, though still unevenly. An independent analytics community — people like me, writing scripts at home — is filling part of the gap with open data. But real change will come when women's football data stops being a special project and becomes the default. When a Frauen-Bundesliga match carries the same complete metrics as a men's Bundesliga match, not because someone wants to prove a point, but because that is simply what is expected. The question is no longer whether women's football deserves to be recorded. The question is who will build that recording system, and for what purpose. Because when data is produced by a small group, the people who produce the data control the story. A twenty-five-year-old woman with Python can read a match more clearly than an entire commentary box. That is both an opportunity and a warning. As for me, I still stay behind after the final whistle. That is where the data ends and the story begins.