The Empty Analysis: How Football Learned to Speak Without Knowing Anything

I received an analysis nine sections long, forty-seven table rows, six risk-warning items, three sanction scenarios, and a disclaimer. The total number of events it contained: nothing. Not one player. Not one scoreline. Not one date. The report talked about football in exactly the way a blank canvas talks about painting — it kept the shape of the thing to be said, but inside was empty space. What made me stop was not the emptiness, but its fluency. The machinery kept running. The cells kept being filled. The headings kept being bolded. Our analytical industry has learned to produce the shape of information even when there is no information to produce — and that is the most frightening discovery I have made in years of writing about football.

I am not writing this to mock one specific document. I am writing because that document is a mirror. It exposes something every match analysis, every player ranking, every heat map is guilty of: we have confused structure with content. We believe that a piece of writing with enough headings, enough tables, enough terminology automatically has value. And when the input data is empty, the system does not collapse. It simply keeps printing twelve lined blank pages.

The machine that needs no raw material

Let me retrace the road that led me here, because it does not begin with an empty document. In 2026, I was seventeen, in my final year of secondary school in Liverpool, writing a two-thousand-word piece on my personal blog whose title essentially argued that Trent Alexander-Arnold was not a right-back in the classic sense. At the time he had played three games for Liverpool's first team and was being heavily criticised for his defending. I opened the data from five Premier League matches and found one specific detail: he had created twelve chances — more than anyone in the squad among the defenders. The piece was mocked. Then a large tactical account shared it, and it reached fifty thousand views. They called Trent an enemy. I saw a man holding the map upside down.

What I learned was not to insert numbers. What I learned was that a claim only carries weight when behind it sits a truth others have not yet seen — a player, a match, a specific moment. Statistics are not content. Statistics are the traces of an event that happened on the pitch. Without the event, a metric is just decoration.

Yet ten years later, the whole industry has forgotten that. The empty analysis in my hands is the product of a different logic entirely: the logic of production. A football analysis piece today is assembled like an assembly line. The input is a rumour, a clip, a status update. The output is a text with an introduction, a body, a conclusion, with a tactics section, a finance section, a risk section, a verdict. When the input is thick enough, the line produces something useful. When the input is empty, the line still produces a product — just an empty one. And because the line has no automatic stop function, it will never tell you it has nothing to say.

That is why an empty document is more dangerous than a wrong one. A wrong document can be caught. An empty document is simply formally correct, and therefore slips through every quality filter. It does not lie. It just says nothing at all.

Heat maps and the new astrology

If you want evidence that the analytical industry is producing shape instead of substance, do not look at the empty reports. The heat map is the clearest example.

I have watched hundreds of heat maps across many seasons, and I believe they are the most overrated tool in modern football. A heat map tells you where a player was on the pitch. It does not tell you what he was there to do. It does not tell you whether he was forced there, or chose to be there, or was instructed by the coach to stand there and open space for someone else. It is a photograph of position, not a record of behaviour. Yet it is presented as an explanation. People look at a red patch and nod as if they have just read the player's mind.

The heat map has become something like astrology: it gives you a beautiful image, a feeling of pattern, and no verifiability whatsoever. Two players can have almost identical heat maps and play completely different roles in a system. One stands on the left wing because that is where he is most dangerous. The other stands on the left wing because that is where his teammate has abandoned. The same patch of colour, two opposite stories, and the map has no way to tell them apart.

The same is true of possession share, the metric I consider the most deceptive of all. A team with sixty percent possession may be controlling the match, or it may be controlling a meaningless circle in two-thirds of the pitch. Sideways passes, backward passes, passes between centre-backs — all of them count toward possession, and all of them may create not a single chance. A team with thirty-five percent possession and twelve counter-attacks may be the only team with a plan to score. But possession will tell you the opposite, and possession is the most-quoted figure on the news bulletins.

What we call football data is largely data about position and frequency, not about intention and consequence. A machine can count touches, metres covered, completed passes. It cannot count the times a player ran to drag a defender out of position so a teammate had space. It cannot count fear. And because it cannot count fear, it routinely misjudges who is actually playing best on the pitch.

What I saw in a Liverpool pub

On the thirtieth of June, two thousand and eighteen, I was eighteen, sitting in a pub in Liverpool watching France play Argentina. At that moment the whole pub was talking about one name: Kylian Mbappé. He ran, he accelerated, he sent Argentina's defence spinning. And everyone was right to talk about him. But while the whole pub was swept up by one player's speed, I kept my eyes on the shortest man on the pitch: N'Golo Kanté.

Kanté touched the ball fifty-eight times that match. What mattered was that he did not lose it once under pressure. Every time Argentina shifted bodies to one side, Kanté was the man standing in exactly the space left behind. He did not produce decisive passes. He produced something else: he forced Argentina's entire midfield to drift wide, and when they drifted wide, Mbappé had ground to run into. Mbappé was the one who scored. Kanté was the one who made the goals possible.

I wrote a short piece arguing that Kanté, not Mbappé, was the man of that match, and it spread through tactical groups. I am not retelling this to praise myself. I am retelling it to point at the difference: real information is not where the crowd is thickest, it is where the right look can flip the story the majority has already closed. The ball does not roll according to calculation. It rolls according to the fear of being left behind.

A heat map of Kanté in that match would give you a red patch in midfield, slightly to the right. It would not tell you that patch was the launchpad for four goals. It would not tell you he stood there because he could read the opponent's fear, because he knew that every time Argentina lost the ball, their midfield would panic and drift wide. That is information. That is worth writing. And no template machine can produce it, because it demands one human being sitting and watching another human being.

The economy of rumour

There is one field where the template machine runs more smoothly than anywhere else, and that is the transfer market. There, the input is usually a rumour without a source, and the output is a long analysis with a complete structure covering tactical fit, wage structure, and dressing-room risk for a player who may never have been linked to that club at all.

I once wrote that a transfer is not about buying a player, it is about buying a story no one has written yet. I still believe that. But I must admit a dark side to it: when a transfer is the buying of a story, then a rumour becomes a product more valuable than the truth. A good rumour sells better than a true one. And in that environment, the analytical industry no longer serves to explain. It serves to rationalise. It takes a baseless rumour and drapes it in the armour of tactical analysis, so the reader feels they have just been given information.

I remember one fact from many years in this trade: most widely circulated transfer rumours do not lead to a real deal. But what is more frightening than that fact is the structure of the articles about them. They contain all the ingredients — what tier the source is, the agent's motive, an optimistic scenario, a pessimistic scenario — so that they look verified. The source does not exist. The agent's motive is speculation. The scenarios are imagination. But the form is perfect. And perfect form is all it takes for an empty piece to pass before a reader's eyes.

The good side of silence

Now comes the part where I must interrogate myself, because if I just stand there scolding the analytical industry, I am doing exactly the thing I accuse it of: filling pages with a pre-shaped argument.

Let me make the case for the other side, the side of the empty analysis. There is an honesty in saying you have no information. Most of the football media does the opposite: when there is no news, they invent news; when there is no data, they infer; when there is no story, they manufacture conflict. A document that dares to write insufficient information in every section is a document that dares to admit its own limits. In an age where everyone must have an opinion about everything, staying silent at the right moment is an almost heroic act.

The problem is not the silence. The problem is that this silence is repackaged into twelve pages of tables. If a person writes just one sentence — I have nothing to say about this — that is honesty. But when emptiness is dressed in the structure of a deep analysis, it is no longer honesty. It becomes a subtler kind of deception: deception of form. The reader sees the volume of tables and believes there is information, when in fact there is only a mould.

And here is where I confess. My own argument about emptiness can also become a template. Data says nothing is a sentence I could repeat forever. Heat maps are astrology is a sentence I could repeat forever. If I am not careful, I become another machine — a machine that produces scepticism. And scepticism produced at scale is as empty as consensus produced at scale. The professional contrarian is a man selling the same goods to the same customer: the feeling of seeing through everything.

The gap no one counts

There is a field where emptiness is not the fault of the template, but the fault of an entire culture. That is esports.

I have followed this industry for years, and what haunts me is not its speed of growth but the speed at which the people inside it vanish. An esports player's career is shorter than a footballer's. Yet their youth-development and post-retirement support systems barely exist. An eighteen-year-old footballer can dream of playing until thirty-five, with an academy, a psychologist, a pension fund. An eighteen-year-old esports player can vanish at twenty-three, and when he vanishes, no analysis is written about him at all.

This is another kind of emptiness, and it is worse than the emptiness of templates. It is the emptiness of people who are not counted. Esports analyses are stuffed with numbers about in-game metrics, win rates, kills. They almost never speak about what happens to a human being when his career ends at an age when others have just graduated from university. The template machine has no cell for that gap. And because there is no cell, that gap does not exist in the report. Empty stands, dead noise, and something thought dead breeding again.

I think this is the most important reminder an empty document can deliver. When you build a structure, you simultaneously build a list of what is permitted to appear inside it. Everything outside the structure becomes invisible. And in football, the invisible things are often the most important: the fear of a young player before an empty stand, the loneliness of an esports player who has just retired, the pressure on a coach who knows he will be sacked even while his team is playing well.

What I predict

I will close with a verifiable prediction rather than a summary.

Over the next few seasons, I predict a wave of backlash against data analysis in football — not from nostalgics who want to return to a time without numbers, but from the data people themselves. They will begin to say publicly that current metrics measure position but not intention, that heat maps are being abused, that possession is being misread. I predict this will come from the analysis rooms of small clubs, where every wrong decision has a cost, not from the big clubs, where data is part of the brand.

And I predict one more thing, closer at hand: there will be a second empty analysis. It will be longer than the first. It will have more sections, more tables, more risk items. And it will still say nothing at all. When that happens, do not ask why the machine produced it. Ask why we read it to the end.