When a Football-Labeled Data File Contains Not a Single Word About the Ball

Late at night in the newsroom, I opened a file labelled "football" and waited for the familiar things: a line-up, a scoreline, a name coming back from injury. Instead there were scholarships. Students. Registration windows open from 17 to 30 September. I read it twice, then a third time, waiting for the ball to appear somewhere among the fifteen information points. It never came. On some nights I stay long after the stands have gone dark. In the empty stadium at night, I hear the ball breathing. Tonight, what I heard was the breathing of a void: a file bearing the name of the sport I have followed for five stages of a career, and inside it not a single player's name. I am used to the ball falling silent. But silence inside a data file means something else. A pitch before kick-off is silent because it is waiting; a mislabelled file is silent because it has been forgotten. In my trade, forgetting a file is one way of forgetting people. I began writing about football when computers were still strange objects in the stands. Back then a match was recorded with the eyes. I sat in row twelve, pencil in hand, counting the failed passes of a young defender, counting the times he turned his head toward his own goal as if apologising. Nobody called that data. I called it memory. I keep those memories in a notebook I never leave behind, the notebook that still holds a few drops of Moscow rain. Now everything is different. Every touch becomes a data point. Every pass becomes a line in a file. A single match can generate hundreds of thousands of values, and those values flow through dozens of systems, tagged, classified and sorted before they reach the reader. Our trade has shifted from watching to filtering. When you filter, you need labels. A label is a promise: if a file is named "football", then inside there must be a match, a team, a human being running. A label is trust written in shorthand. When that promise breaks, what collapses is larger than one file; it is the trust of an entire machine. I learned this in recent years, as analytics rooms multiplied faster than the stands. They hire young people, teach them to tag, teach them to classify. A proper football data file must answer the old questions: which team, who played, what tactics, where the money is, who is under pressure. But each year the speed of tagging outruns the speed of understanding. When speed outruns understanding, error becomes a kind of noise nobody hears in time. And that noise, over time, becomes the truth of a machine no one re-checks. That night, I opened the first door. It should have been tactical and technical analysis: line-ups, formations, playing styles. Inside was a scholarship programme. No formation. No tactical system. Not one possession metric. The second door, club finance and the transfer market, opened onto a public expenditure commitment paid by a Mexican government ministry. The third door, the results-and-opinion cycle, opened onto a registration calendar, not a fixture list. I kept opening. The fourth door, league landscape and team positioning, returned a list of five Mexican states: Michoacán, Campeche, Chiapas, Sonora, Zacatecas. They are regions, not clubs. The fifth door, rules and governance, returned scholarship eligibility conditions: enrolment in public upper-secondary education, study at a priority higher-education institution, or being under twenty-nine years old and resident in those five states. The sixth door, management and the dressing room, returned a single name — Mario Delgado Carrillo, Secretary of Public Education, a political office rather than a coach. The three programmes carry three names: Benito Juárez for upper-secondary students, Jóvenes Escribiendo el Futuro for university students, and Gertrudis Bocanegra, restricted by age and region. The registration start dates do not coincide — the 17th for one programme, the 18th for another, the 21st for the last — as if the administrative gate itself needed to be split to avoid overload. First-time applicants need a digital identity account called Llave MX. The data door I opened showed me young people queuing before a paperwork procedure, and I wondered what happens to those with no connection, no documents, no one to guide them. The remaining three doors I opened in silence. Risk profile, media narrative, and the football industry's transmission chain — all three returned the same answer: not applicable. Nine doors, nine voids. In the entire file, no team, no player, no match. The only thing that smelled of a pitch was a date inconsistency. The file cited the 2026–2027 academic year alongside a registration window closing on 30 September. A real football file would never drift seasons like that. This is a pipeline error, and I only noticed it because I read slowly. Had the tagging been faster, no one would have seen anything. Had they read to template, they would have filled every empty field with assumptions, turning scholarships into tactics, students into strikers, a registration calendar into a fixture list. I refuse to do that. There is an honour in this trade, and it begins with knowing what you are looking at. I have told you about the nameless people in the stands — the sweepers, the drink sellers, the ball boys. I write about them because football is a system of people history forgets. But there is a limit: I can only write about people who were truly on the pitch. When a file contains no match, describing it as a match is lying. And my trade, however dreamy, dies the day I start lying with data tags. You may say I am inflating a technical error. One mislabelled file among thousands of correct ones — what does it matter. But I have lived long enough to know that great diseases do not begin with great mistakes. They begin with a field filled in haste, a tag applied carelessly, a person who believed the file's name was enough instead of reading the file. Today it is football pasted onto a scholarship. Tomorrow it could be a match pasted onto another event, and some machine will describe that match with details that never happened. I have seen such machines produce stories so smooth that nobody double-checks whether they are real. A correctly labelled football file would tell me about a line-up, a pressure, an injury, a contract running out, a tactical corner the stands cannot see. A mislabelled file tells me only about carelessness. Yet even carelessness is a story, if you are willing to listen. At least it tells me that somewhere, in some room, someone is tagging faster than they can understand. And in football, speed always has a price. The file also mentioned students who still do not have a scholarship, as if this were a supplementary round after a first intake. A supplementary round means people not yet reached, demand not yet met. If this were football, I would write about players staying behind after training, waiting for a second chance. But this is education, and I can only record that fact without giving it a shirt. I think about the taggers. They are not bad people. They are caught in a habit. The football of my time encouraged slowness: a goal watched again and again, a move retold in a notebook for a week. Football now encourages completeness: every field must hold data, every void must be filled. Emptiness makes people uneasy. And when emptiness becomes unease, people start filling it with anything — including things that have nothing to do with the ball. This is where I object. A proper football data file should have room for emptiness. Recording that a dimension carries no data matters as much as recording a pass. I have spent a career on slips, on the tears of substitutes, on the gaps in the stands. To me, absence is always part of the match. A coach who leaves no trace on a tactics board still leaves a trace in a dressing room. A player who does not score still tells a longer story than a goal. So that scholarship file, read properly, taught me something about football itself: that a system can swell without growing; that more data does not mean more understanding; that sometimes the most important skill of an analyst is daring to say "this is not football". That skill is rare, because it demands the courage to resist the pressure to fill every empty space. In recent months I have seen more stories like this. Machines learning to predict, to describe, to commentate, and sometimes forgetting that there is such a thing as the truth of a match. The scoreboard cannot hold a heart, and football writes its poetry in those places — but a false scoreboard writes no poetry, it only repeats the error. Without truth, we only write echoes. When I was young, I believed data would save football from sentimentality. Now, at this age, I partly believe the opposite: data without a human overseer creates a new sentimentality — the sentimentality of machines that trust their own labels. A person's mistake is easy to spot; a system's mistake we grow used to, until it becomes normal. That is what I fear most, and that is what I tried to record, last night, when I opened that file. I still believe one simple thing: at 69, I still believe a beautiful pass is a declaration of love. A declaration of love cannot rest on a mislabelled data file. To love the right person, you must first know who stands before you. That is also the lesson of my trade: before writing about a person, be sure that person was on the pitch. The next evening I called a friend who works in a data desk. I told him about the file. He laughed and said that sometimes people tag a file without ever reading it. I asked whether anyone re-checks. He went quiet for a moment, then said that checking takes time. Time in modern football is the most expensive thing, and whatever is most expensive usually gets skipped. I understand. I was once called a dreamer on live television, on a night in 2026, when I spent more than twelve minutes talking about the dance of failed passes in a match between two big clubs. There were forty complaints and three letters of thanks. I choose to remember the three letters. But what I have not forgotten is that the forty complaints taught me most people only want completeness: the scoreline, the player names, the whole story. Emptiness makes people uncomfortable. That night I picked up my notebook and wrote one sentence in pencil: a wrong label is a forgotten person. I do not remember who said it. Perhaps I said it myself. Perhaps it came from a seventy-year-old man in the Moscow stands who once wept for a player who ran an entire life of exile in one rainy night. The nameless always remind me that behind every data file is a human being — even when the file is wrong. Even a mislabelled file was born from someone in a hurry, someone tired, someone who believed speed matters more than truth. That is why I write this in a low voice, not in anger. Anger does not fix bad data; care can. And care, to me, is a form of love for the ball. Anyone who truly loves football will read closely, will slow down, will dare to say "I do not know this part". A football file always has voids, and the most beautiful thing about it is that those voids are left intact until someone patient enough fills them with a fact. I do not know where that scholarship file will end up, and it no longer matters to me. What matters is that I did not turn it into a match that does not exist. Tonight I will sit again in a stadium with no match in it, listening to the ball breathe, waiting for a file that bears its true label. Football is still waiting. And I, who believe absence is also part of the story, will wait with it.