Empty Seats in the Data Room: Sports Writing Confronts a Record With Nothing in It

In my trade, the thing I fear most was never bad news. Bad news is still news. It has a name, a minute, a scoreline, someone to blame and someone to keep quiet. What keeps me awake is a record that looks perfectly tidy but is empty inside: a blank title, a blank source, a blank timestamp, and a core information field with not one line in it. No club. No player. No manager. Not a single number to hold on to. Just one label somebody managed to stamp before everything dissolved — two words: football.

I stared at that kind of record for the first time on a January night, rain falling sideways past my window in Manchester. On the screen was a document with solemn headings, full tables, nine entire analytical dimensions — and every one of them said the same thing: insufficient information. Nine analytical spaces, nine identical answers. I remember sitting there a long time, typing nothing, just looking at the white space in the middle of the table.

In Moscow, on the night of 11 July 2026, I learned that the final whistle is only a rest sign. When Mario Mandžukić headed the ball past England in the 109th minute, the Luzhniki erupted into a roar, and I froze. I didn't cry. I sat in the stand for another forty minutes after the stand had emptied, watching the rows begin to clear, and I understood that what I needed to write was not in the 109th minute. It was in the silence right after it.

Seven years later, in Manchester, I met another silence. This one was inside a text file.

What struck me about that empty record was not the lack. It was the shape. It came back with the right structure, the right formatting, the right field labels, missing only content. A record like that is exactly like a seat fitted correctly in an empty stand. You can see it, you know somebody once sat there, but you no longer hear their applause. An empty seat still seats a person — we simply no longer hear their clapping.

In 2026, when global football stopped, I was unemployed for three months before a non-profit in Manchester asked me to make a series of short films about life around emptied stadiums. I spent forty days interviewing quiet workers. Paul, fifty-eight, who had cleaned at Old Trafford for twenty years, told me that at night, when there was no match, he still heard the roar echoing back from the empty rows. I called the project The Empty Seats. It taught me something I have carried ever since: absence is a form of data too, provided you are willing to sit with it long enough.

The empty record that night belonged to the same family as Paul's empty rows. It did not lie. It simply said nothing. And in an industry that has learned to fill every white space with words, saying nothing becomes the most dangerous act of all.

Data has become a new religion, and I am a believer with a clear sense of my own limits. Over fifteen years, the way the English talk about football has changed at the root. When I first started writing in Madrid, the morning newsroom meeting had one question: who scored, who is injured, who said what in the dressing room. Now there are at least three charts on the wall. Nobody asks which team pressed anymore. They ask which team forced the opponent to make fewer passes before defensive action, and whether that number holds over ten matches.

I believe in those numbers. Based on my experience watching matches across many seasons in England, I know a side can win three in a row on 89th-minute goals while conceding far better chances. I know a centre-back can be praised for a month merely because his goalkeeper was extraordinary. The numbers help you see through that fog, and anyone in this trade long enough owes them a debt.

But fifteen years taught me one thing, and I write it here as a rule of the trade: data only answers the question someone knows how to ask. When there is no data, people rarely stay silent. They invent. And the invention is usually presented more beautifully than the truth, because it is not bound by anything real.

That is what made the empty record an event worth writing about rather than a technical error worth ignoring. That record was an ethical test set by accident. Every dimension could be filled. You can write about a tactical system without knowing the team. You can write about dressing-room pressure without knowing the manager. You can write about financial fair play risk without knowing which club is under investigation. Football's language has become so smooth it flows into any mould, including a completely empty one.

In all nine dimensions of that record, a template answer was ready. The tactical dimension could discuss the gap between the formation on paper and the formation on grass. The financial dimension could discuss how a transfer fee is amortised across contract length. The results dimension could discuss the divergence between process data and actual results. Every one of those answers is conceptually correct, and all of them are meaningless beside a record with not one name in it.

People assume the hardest part of sports writing is understanding tactics. I don't think so. The hardest part is staying honest when you have enough vocabulary to say anything. A bad writer can produce two thousand words about a team he has never watched. A good writer must be able to write one honest sentence about a team he has never watched: that he has never watched them.

That is why I treat that empty record as a mirror, not a failure. It forces a confrontation with what most sports content today tries to hide: most sports content today is not written from observation but from a template. Someone reads a headline, remembers a few numbers, and builds what looks like a deep analysis. The result reads fluently, with expected goals, with figures, with terminology — and not one detail that makes a reader stop in surprise.

The gap between a real piece and a piece that looks real is what this industry is now paying for. And the price is not only bland articles. It is bad decisions.

Take one verifiable example. In July 2026, Manchester United completed the signing of Jadon Sancho from Borussia Dortmund for a fee reported by English media at around 73 million pounds. At the time, every data model agreed Sancho was one of the best young wingers in Europe. The models were right on the numbers. What they could not measure was that Sancho was walking into a dressing room already holding large egos, a system that did not grant him the free role he had in Germany, and an expectation level pushed so high that every misplaced pass became a media event.

I use this example not to call Sancho a bad signing. I use it to mark where my trade is stuck. The transfer data model rates a twenty-one-year-old's potential very highly and rates what cannot be measured in passes very low: dressing-room chemistry, positional fit, and how a human being endures pressure once he is no longer the new one.

If I had to compress my stance after nearly two decades observing this industry, it is this: what decides whether a signing works does not live in the stat column, but in the distance between the person a club thinks it is buying and the person actually walking through the dressing-room door. Every model models a footballer. Almost no model models a person.

Which brings me back to the empty record.

A properly constructed analytical document needs at least five minimum ingredients: a title with a source and publication date; a set of discrete, traceable information points; at least one named entity; any quantitative datum; and the triggering event type. That record lacked all of them. It even lacked the one thing that seems obvious: time. No date, no season, no transfer window, no matchweek. An analysis without time is like a medical file without an admission date. You can read it, but you cannot treat anyone with it.

One small detail in that document I kept in my notebook, because it was beautiful in a sad way. In the risk section, the author noted that the only real risk in the document was procedural, not sporting: an analysis generated from a null input would carry the appearance of rigour while containing nothing verifiable. Its users — editorial desks, transfer analysts, risk teams — could act on it.

That is the most honest sentence I have ever read in a technical sports document.

In Moscow that night, when Mandžukić scored, I did not need anyone to remind me Croatia had reached the final. I needed someone to tell me England would wait seven more years for another major final, and that Gareth Southgate would pay for those years with his own career. Nobody could say that. Football does not supply that information at the moment it happens. It supplies a 109th minute and a collapsing stand.

The rest is the writer's job. And the writer, with no data, must choose between two things: stay silent, or invent.

I know that choosing silence in this industry can sound like surrender. Newsrooms don't pay for silence. Algorithms don't rank silence. But I also know something else, and I believe it is the most important thing a person in this trade must learn in the coming decade. On the track, records are measured in hundredths of a second; out there, a life is measured in breaths. In the data room, metrics are measured in decimals; in the dressing room, trust is measured in afternoons nobody sees.

You can model everything except the thing that decides everything.

This is where I step out of the observer's role and say plainly what I think, because I have kept it in too long.

The sports industry worries about artificial intelligence in the wrong way. The question usually asked is: how do we tell machine-written text from human-written text? It is a good question but not the root question. The root question is: since when did human-written text differ from machine-written text?

I'll tell a story from my own notebook. In 2026, when I was twenty-six, I interviewed Phil Foden, then seventeen, after a youth final. The conversation lasted thirty-four minutes. He said twelve sentences, most of them about the team bus home. The desk asked me to rewrite it as a rising-star profile, stripping out every trace of the boy's awkwardness. I wrote it. I wrote a piece that looked very much like a piece. And for years afterward I thought of it the way you think of a stain on a manuscript.

That article had every marker of human-made writing: emotion, observation, a little humour, a little admiration. It also had every marker of machine-made writing, in the sense I want to raise here: it was produced to fit a template of expectation, not to answer any question of truth.

The problem is not that machines have started writing like people. The problem is that people were already writing like machines long before machines arrived.

We have been inventing all along; we just have a better excuse now. When a writer says a club is in a rebuilding process, he is filling a gap with a concept. When an analyst says a player has adapted to a new system after four games, he is filling a gap with a timeline. When a report says a club is considering an appointment, the report is filling a gap with a possibility. None of those is information. All of them are shape fitted into the space where information belongs.

That empty record did not commit that sin. It was merely empty. And precisely for that reason, in a season when everybody was talking a great deal, it was the most honest document I read about football that year.

I realise I am writing this not to criticise anyone. I am writing it to remind myself. Nineteen years in the trade across three countries, eight Olympic Games, eight World Cups, and I still have to remind myself each morning that this profession does not exist so I can hear my own voice. It exists so one reader, perhaps sitting in a Hanoi café at three in the morning, understands something true about a match she did not get to watch.

If I have nothing left to tell her about that match, the most honest way to serve her is to say: I have nothing yet.

That is what I learned from an empty record, and I think it is also what everyone making sports content in the coming decade will have to learn, whether they want to or not. When data becomes cheap, what becomes expensive is certainty about what you know and what you don't. When language becomes infinite, what becomes scarce is deliberate silence.

Of course, saying that can easily become a pose. I do not believe in the purity of the silent person. Staying silent because there is nothing to say is one thing. Staying silent because you fear responsibility for what you say is another, and this industry is full of the second kind. The line between humility and helplessness is thin enough that you often cannot see it.

I think the way to tell them apart is whether the writer comes back. Honest silence is bounded silence: it says there is not enough data, and it sets out exactly what data is needed, from where, at what time, in order to return. Cowardly silence is silence with no return date. It just closes the door and lets the echo do the work.

That record laid out a list of five minimum ingredients to run the analysis again. It specified that it needed a title with a source and a date; at least five discrete facts, each with its own source; at least one named entity; any quantitative number; and the triggering event type. That is the voice of someone staying silent but knowing what he is waiting for.

I took from it a habit I have carried into every draft since. Before each piece, I ask myself one question: if a reader asks where I saw this, do I have a concrete answer? If the answer is a feeling, I am not ready to write. If the answer is a minute, a name, a number, a match I actually sat and watched, I can begin.

That standard sounds harsh, and it is harsh. It makes me write more slowly. It makes me decline certain assignments. It has made a few editors find me difficult. But it is also the only reason I am still in this trade after nineteen years, while many writers better than me left because they could not bear the feeling of producing pieces that weren't real.

A good match is never fully told; it only waits for someone quiet enough to hear it. And a good article, I think, is the same.

Back to Paul, the cleaner at Old Trafford. He told me the thing he remembered most about twenty years there was not the matches, but the Monday mornings after defeats. He walked the rows, picking up discarded programmes, paper flags, leaflets. He said that after a win, people leave less rubbish behind. After a defeat, they leave a great deal, as if they wanted to throw the whole night away along with the programme.

I wrote that down. I didn't know what to do with it for months.

It was only when I read that empty record that I understood why I had kept it. It is the same story. The paper flags left on the stand after a defeat and a document left blank after a night's work are the same signal. They indicate that someone was there, someone tried, and someone did not have enough material to finish what they meant to make. That absence lies about nothing except itself.

In a season when every fan is busy with flags and with their national team's story, writing about an empty file may look out of step. I understand that. But I also think the bigger the season, the louder the noise, the more we need someone standing at the edge recording what is not said in the headlines. The emotion of a major tournament is compressed until every goal feels like collective release. And when everyone is shouting at once, people hear less than they imagine.

That is my place. Not the place of the loudest voice.

I don't believe I can change this industry with one article about an empty file. But I believe in something smaller and more concrete: every time a writer decides not to fill a white space with a plausible-sounding hypothesis, that writer keeps football's language capable of speaking the truth. Every such moment is a round of applause that was not misplaced.

Doubt is not the enemy of analysis. The disguise of certainty is.

When I left Old Trafford that night after interviewing Paul, it was raining in Manchester. I walked across the empty car park, past light towers still burning though nobody needed them, and I heard my own footsteps echo between the walls. I did not know then that years later I would sit in front of a text file with the same sound.

Some gaps are filled by adding. Others are filled by waiting. Twenty years in this trade taught me that the second kind is rarer, harder, and more trustworthy.

If this season forces you to choose between a ready-made answer and a silence that needs more time, I hope you will weigh what I learned from an empty file in Manchester: sometimes the most credible thing a person in this trade can hand to someone else is the sentence saying he doesn't know yet — followed by exactly what he needs in order to find out.