When Football Data Has Nothing to Say: Lessons from an Empty Analysis Sheet

Late one November night, a young colleague sent me a file he called “a deep expert-level analysis.” I opened it at eleven o'clock, after switching off the studio lights. Nine sections. A tactical and technical table. A club finance and transfer market table. A results and public-opinion cycle table. A league landscape and team positioning table. A rules and governance compliance table. A dressing-room and coaching table. A risk matrix. An industry transmission table. A glossary of professional terms.

Every table was ruled with the correct columns, the correct rows, the correct typeface. And every cell contained the same sentence, repeated like a refrain: “Insufficient information, cannot assess.”

Nine pages. Not a single club. Not a single player. Not a single scoreline. Not a single date. Not a single competition. The only thing filled in perfectly was the domain label: football.

My first reaction was to laugh. My second reaction, arriving a few seconds later, was a discomfortingly familiar feeling. I had seen pages like this before. Not on a screen, but on grass, on afternoons with no spectators.

In the summer of 2026 I was in Incheon making a film about a second-division club. Their opening match was played in front of a stand of twelve thousand seats and not a single person. A nineteen-year-old striker put a ball into the net during training, then knelt and covered his face. Nobody ran to him. Nobody cheered. I held the camera, and all I could hear in my headphones was wind moving under the roof. After that session I had to walk away from the camera for two weeks. Two weeks alone, and I could hear the old stand clearly.

That nine-page file brought back exactly that feeling. A stadium built with a full steel frame, enough seats, enough fire exits, enough signage. But nobody came. And the most frightening part is this: the steel frame is still standing, ready for anyone who walks in and performs.

Over the past fifteen years, professional football has built an information production line running parallel to its goal production line. At the input end sit reporters, scouts, club data departments, bookmakers, and thousands of social media accounts. In the middle sit the extraction steps: who, did what, when, where, for how much money, with what result. At the output end sit an analysis sheet, a news item, a television segment, a scrolling line at the bottom of the screen.

Extraction is the least discussed step and the one that decides everything. From an article, you pull information points. From information points, you build an argument. No information points means no argument, the same way no footage means no edit. A documentary screenwriter understands this better than most: I can have a beautiful idea about a character, but if there is not one frame of that person on the memory card, the idea is only a daydream on paper.

A proper football analysis needs at minimum four things. First, a subject: which club, which player, which coach. Second, a context: which competition, which matchweek, which date, which stadium. Third, process data: possession, pass counts, expected goals, pressing intensity. Fourth, a source: where did this come from, who said it, to whom, and when.

The nine-page sheet had all four boxes. All four boxes were empty.

Let me be clear from here: an empty sheet like that is not necessarily a bad product. It is a diagnosis. It is like a logbook recording where the line broke. Whoever wrote it did one important thing right: instead of inventing a club, a player, or a scoreline to fill the page, they wrote straight into the cell that they did not know.

The problem lies elsewhere. A table already ruled into rows and columns is an invitation. Every empty cell is pressure. The person writing the table, the person reading it, and above all the person paying for it all feel a very specific discomfort when they look at those blank spaces. In my trade we call it the pressure to roll: even when there is nothing to shoot, the camera has to run.

And the domain label “football” at the top of the page is the most dangerous hint of all. It tells the writer: this is football, you know football, fill it in.

At the end of 2026 I sat in the analysis room of a Korean club. A small room, two monitors, an air conditioner running too cold. The analyst there showed me the file on a young player the club was considering signing. I asked him for an assessment. He said he had watched the player twice, and two matches is far too few to say anything about a human being. He offered no conclusion. He only offered a list of what he still lacked: four full matches, three years of injury data, the opinion of the previous coach.

That was the first time I met a data person who told me he did not know. And it was the first time I trusted one.

In screenwriting I distinguish two entirely different kinds of gap.

The first is a gap because there is no data. The second is a gap because the data shows there is genuinely nothing there. The two look identical on paper, and confusing them is the most serious mistake an analyst can make.

The simplest example sits in goal. A goalkeeper plays ninety minutes and faces no shots at all. On the stat sheet his saves total zero. Reading only that cell, you could conclude he did nothing. But the reality might be that he organised the back line, read the long balls, and made attackers reluctant to shoot. Or the reality might be that the opponent was simply poor. A zero in a cell says nothing on its own. It says something only beside what we know about the match.

The difference between “cannot assess” and “low risk” sits in exactly the same place. In the risk matrix of that analysis sheet, every cell carried the label “cannot assess.” A hurried reader skims it and thinks: no risks at all, excellent. That reading is harmful. Failing to find evidence of risk is not the same as finding evidence that risk does not exist. A club whose books we know nothing about is not a healthy club. It is only a club whose books we have never opened. In the language of financial sustainability rules, a club that publishes no accounts is not a compliant club either. It is a club we have nothing to say about.

I call this the empty-cell trap. In football, the trap is everywhere.

In 2026, aged forty-four, I travelled to Russia as a screenwriter on a World Cup documentary. I was in Kazan for Iran against Spain. For ninety minutes I watched a substitute goalkeeper. He stood for the anthem, sat down, stood up, clapped, drank water, adjusted his gloves. Not one minute on the pitch. When the whistle went, he wept with his teammates. Later I tallied it up: at that tournament, ninety-six substitute goalkeepers across thirty-two national teams did not touch the ball for a single second.

Substitute goalkeepers are the unpublished poets. They never touch the ball, but they hold the whole world.

What I took from that trip was not the count of ninety-six. It was that real data always has names. Those ninety-six goalkeepers each had a name, a date of birth, a club, a shirt number. An empty dataset, by contrast, has no names at all. The difference between an honest gap and a hollow one is this: an honest gap still keeps the name.

Now to the technical side. In modern football the two most quoted metrics are expected goals and pressing intensity. Expected goals measures the quality of a shot: from that position, at that angle, in that situation, how often does an average player score. Pressing intensity measures how many passes a team allows the opponent before committing a defensive action. The lower the number, the more aggressively the team presses.

These metrics are genuinely useful. They reveal what the eye misses: a team that won on luck, a team that lost while playing better. But they can only be computed when there is a specific match to measure.

A metric that cannot be computed is not a metric of zero. If there is no match in the data, expected goals is not zero and pressing intensity is not zero. They simply do not exist. Charting them in that situation is number manufacture, not analysis.

I once witnessed something close to this, and it changed how I work. In 2026 I followed a twenty-one-year-old Korean player on the verge of signing for a lower-division French club. I had already built a beautiful script in my head: the boy from a small city, the night flight, the contract, the free kick in stoppage time, the stadium erupting.

At the final moment the deal collapsed. A confidential clause in the agreement with his agent made the transfer impossible. The player flew back to Seoul in silence. I stayed in Paris three more days, walking the Seine alone, feeling as if I had finished a script and watched it torn up in front of me.

Contracts have their summer, but love has its winter.

The lesson lay somewhere else entirely. For weeks I had read about that deal in the press. One outlet said it was nearly done. Another said talks were ongoing. Another said personal terms were agreed. Another said the club was weighing alternatives. Stitch those lines together and the reader gets a vivid, confident, and entirely false picture.

The frightening part is that almost none of those lines named a source. Nobody said the information came from the agent, the sporting director, or a friend of the player. Everything was “a source close to the situation.” When the source field is left blank, every rumour becomes equal in value to every other. That is the most dangerous thing in the whole chain.

In serious analysis, source reliability must be tiered explicitly. A reputable journalist with a record of accurate reporting and direct club access sits in a completely different tier from a social account reposting someone else's claim. Information leaked by the agent himself for negotiating leverage must be read with a different eye from information published officially by the club. Leaving the source field blank destroys the capacity to judge; it does not stop at being a formatting oversight.

One more field is routinely forgotten: time. An article with no date cannot be used for analysis. You cannot tell whether the information still holds, which matchweek's table is being cited, or which month's injury status is being described. In football, time is part of accuracy. Something true in March can be false by May.

In 2026, when the Club World Cup was reformed into a thirty-two-team tournament staged in the United States, I chose a subject my colleagues called pointless: a thirty-seven-year-old striker at an African club who had never played a senior World Cup.

He said something to me that I recorded verbatim: “The only thing left in my life that feels like a World Cup is this.”

The final group match was at MetLife Stadium. He came on in the eightieth minute, touched the ball four times, scored nothing. He left the pitch to applause from forty-one thousand people. He retired immediately afterwards. And I, having finished cutting that film with the cameraman who has been with me for twenty-one years, realised I am no longer young enough to wait for another World Cup either.

Four touches. No goals. On a pure stat sheet that is close to an empty cell. But for anyone in that stadium that day, it was one of the fullest moments of the entire season.

Applause nobody hears is still applause. The stadium is empty, but the memory is crowded.

Here I have to say something uncomfortable directly.

The football industry does not pay for honesty. It pays for certainty. A pundit who goes on television and says he lacks the data to draw a conclusion about this match is written off as useless and will not be invited back. A club data department that sends the board a report reading “cannot assess” from top to bottom is written off as burning budget. An article that opens by admitting it could not verify the information is ranked by the algorithm below an article declaring the deal complete.

So who benefits from a table filled in?

Broadcasters benefit, because they have forty-five minutes of airtime to fill before kickoff. Sponsors benefit, because a gripping story sells more shirts than a bland truth. Betting markets benefit, because a confident prediction generates more orders than a doubt. And above all, readers benefit in a very human way: they feel better with an answer, even a wrong one.

And who loses? Readers lose the ability to tell what they know from what they have been told. Players lose the right to be judged by what they actually do, rather than by a story built for them by others. And people in my trade slowly lose the habit of saying they do not know.

But at this point I have to argue against myself, because otherwise the reasoning slides into an opposite extreme that is just as harmful.

An empty analysis is only worth something when it comes with a concrete remediation request. If I merely return a table reading “cannot assess” without specifying what must be added, I am not an honest man. I am a lazy man disguised in professional language. Scepticism becomes cynicism when it cannot point to the next step.

So for that nine-page sheet, a proper remediation request must name four things. First, record the outlet and the author of the source, so reliability can be tiered. Second, record the publication date and the corresponding matchweek, so an old article is not analysed against a new context. Third, record at least one subject identity, even just a competition name, to serve as an anchor. Fourth, and most important, check whether the original article actually entered the pipeline at all, or was lost at the download step.

The irony is that in this particular case the cause is almost certainly not the poverty of the source article. A pure football report, even one merely describing a match, always contains at least a scoreline, a lineup, and a date. The absence of even one name indicates a technical-stage problem, not a content-stage problem. Put another way: that stadium is not empty because there is no match, but because someone forgot to open the doors.

The greatest fraud in football media is the man who speaks with certainty and no source, not the man who spreads a false rumour.

Since that night reading the nine-page file, I have changed one habit in my screenwriting work.

Every script I write now contains one blank frame. I mark it with the words “not yet known.” It is the space reserved for the character I have heard about but never met, the match I only know by its score, the story whose source I have not yet verified. I do not delete that frame to make the script look tidier. I keep it, the way you keep an empty room in a house under construction, so that something real can be placed there later.

Football is a sport recorded so densely that people assume everything already has a number. My experience watching matches, from packed stands in Russia to empty stadiums in Incheon, teaches the opposite. Most of what makes a match does not appear in a stat sheet. It lives in the clenched hand of a substitute when his teammate scores. It lives in four touches by a thirty-seven-year-old in the last match of his life. It lives in the sound of an old stand I could still hear after two weeks alone in a room.

And when a data pipeline returns a blank page, the right move is not to fill it with plausible-sounding names. The right move is to find out which door has been locked, and open it.

Tomorrow I will call that young colleague. I will tell him those nine blank pages are not a failure. But if he sends them out without a single line about what needs to be added, that is where the real failure begins.

Because an empty stadium can still be filled with spectators. A stand that was never built cannot.