The Empty Seat of Data

Three in the morning in Chengdu, and the screen in the corner of my study returned a report that was structurally perfect: a title, nine analytical sections, tables, even a source note at the foot of the page. Every cell contained words. And every cell said the same thing: insufficient information to assess.

I sat still for a long while in front of that stand with its rows of seats already marked out. No player's name, no competition, no date, not a single passage of play to remember. There was something strange about watching a machine stop itself: it was assigned an analysis, it discovered there was nothing to analyse, and it said so plainly, nine times, across nine different sections.

My first reaction was irritation. My second, arriving a few minutes later, was something close to respect.

In more than five decades of writing about football, I have read a great many empty reports. They were not written by machines. They were written by people, with subjects, predicates, adjectives in abundance, and not one hard fact. The machine that night, at least, did not pretend.

From the radio to the dashboard

I came to football through my ears, but I stayed because of heartbeats I could never explain. In 2026 I began work at a local radio station, describing matches through the roar of the terraces, the thud of ball on shin pad, the sigh of an entire stand when a striker put the ball over the bar. No screen in front of me. The memory of a match was a memory of sound, and for that reason it was very hard to edit afterwards.

Then came Kazan, 30 June 2026, the World Cup round of sixteen. France beat Argentina 4-3. Kylian Mbappé was nineteen, scored twice in the 64th and 68th minutes, and won a penalty. I sat in the press tribune and forgot to write the score in my notebook; I wrote only one line: this boy runs faster than the way we tell stories about him. The piece I filed that night was shared 230,000 times, the highest figure in thirty years of my career.

Four years later, on 18 December 2026 in Lusail, Argentina drew 3-3 with France after extra time and won 4-2 on penalties. Lionel Messi, thirty-five years old, scored twice. Mbappé scored a hat-trick. A championship is an embrace, but the most beautiful embrace is the one the pitch gives to those who lose.

Between those two nights, my profession changed utterly. The press tribune now has two screens: one showing the match, one showing a data feed running minute by minute alongside it. Young writers open their laptops before they open their eyes to the pitch. And I understand why: data offers the sensation of grasping what the naked eye misses.

To talk about this properly, the tools must be named. xG, expected goals, is a model estimating the probability that a given shot becomes a goal, based on location, angle, shot type and the number of defenders in front of it. PPDA is the number of passes an opponent is allowed before each defensive action; the lower the figure, the more aggressively a side presses. A low block is the choice to concede territory, compressing to seal the space behind the back line. A heat map is a map of where a player appeared. Transfer amortisation is the practice of spreading a large fee across the years of a contract to produce an annual profit-and-loss cost. FFP and PSR are the financial regimes of UEFA and the Premier League; PSR, for instance, caps a club's losses across three seasons at 105 million pounds, with permitted deductions.

Every tool on that list is honest. The problem lies with those who use them.

Four pillars and one empty cell

That report revealed something my trade usually conceals: an analysis stands on four pillars, and the first is the information point — the raw fact that somebody observed, recorded and is accountable for. The second is the entity: which club, which player, which coach. The third is the date: when this happened. The fourth is source quality: who says so, and what interest they have in saying it.

When the first pillar is empty, the other three collapse with it. No information point means no resolvable entity; no entity means no line-up, no tactical shape, no wage bill, no injury risk, no media cycle. Nine analytical sections, from tactics to finance to the dressing room, all dead because of a single empty cell.

It resembles a match without a ball. You have the pitch, the stand, the referee, twenty-two shirts arranged in correct positions — and no ball rolling anywhere. An outsider might take it for a well-ordered fixture, until noticing that nobody touches the ball.

An analysis earns trust precisely where it dares to leave blank the cell for which it has no data.

Football has learned the ritual of VAR without learning its logic. The video referee may not invent a foul; absent clear evidence, the original decision stands. A writer ought to keep a gate like that: with no facts, the correct answer is an empty answer. But that gate does not exist in the newsroom, because it produces no copy.

The heat map and the new divination

The heat map has become a new form of divination, and it is dangerous because it looks scientific. It tells you where a player was. It does not tell you what he was asked to do.

A left-back instructed to invert, effectively becoming a second midfielder while his side has the ball, will leave a dense trail through the centre. The hasty reader concludes: he abandoned his position. In truth he was executing an instruction, and the gap on the flank was exactly what the coach wanted, because it opened a diagonal pass for a winger running inside.

A striker pressing alone on instruction, chasing across the far half to bend the first pass backwards, will cover a vast area on the map. The reader concludes: running wildly, no structure. In truth he was performing something very difficult — forcing the opponent to play the ball into the zone his team had already prepared.

Tactics are a cultural product. Living between two football cultures, I read styles of play the way I read geography: a side that presses high is a side that believes it has the right to impose rhythm; a side that sits in a low block is a side that believes patience is a weapon, often because it comes from a place where arrogance is punished in public. A heat map cannot say that. To know it, you go to the ground, count how many times a full-back hesitates before stepping up, and listen to the stand when that pass is intercepted.

The pitch never betrays anyone; people simply forget that it also knows how to hold.

The ambiguity of a single figure

PPDA is a fine example of an honest metric that can lead to two opposite conclusions. A side with a PPDA of 6.5 might be a ferocious high-pressing team, cutting every pass in the opponent's half. It might equally be a deep side that hunts only inside a fifteen-metre band around its own box, and hunts so hard there that the figure stays low. The same data, two tactical worlds, two entirely different messages sent to a dressing room.

To tell them apart you must answer three questions: who presses, where, and on whose instruction. All three sit outside the spreadsheet.

I have a private rule after many years of reading metrics: when a piece of data makes me feel clever instantly, I read it again more slowly. The sensation of immediate understanding is usually the sign of a prejudice that has just been digitised, not of a new insight.

The final contract year and the glass man

One variable in football is more mispriced than any other: the final year of a contract. A twenty-nine-year-old with twelve months left is typically sold below his sporting value, and the club is hastily labelled a seller. The truth is simpler: on the books, a player nearing the end of his deal is an evaporating asset, and every decision is distorted by that curve.

Conversely, that same final year produces the explosion of form that journalism likes to call a transformation. The player has not transformed. He is negotiating with his feet.

Then there is the group analysts call glass men: those with chronic availability problems. This is where data models fail most often, because injuries are not evenly distributed, and a player who has torn a ligament three times does not carry the same probability as one who has never missed more than a fortnight. The spreadsheet gives you historical frequency. It cannot tell you how that knee will respond in the third game of a three-match week.

Amortisation and the real price of a signature

In August 2026, Paris Saint-Germain triggered Neymar's release clause at Barcelona, worth 222 million euros, and the player signed a five-year contract. In the profit-and-loss account that fee does not appear once. It is spread: roughly 44.4 million euros a year, plus wages, plus ancillary costs. When a club says it cannot spend more because of financial rules, it is talking about that amortisation line, not about the balance in the safe.

The reverse is equally true and far less discussed: a free transfer on a high wage can cost more on the books than a 30-million-euro purchase on a moderate wage, because wages have nothing to be amortised against. Supporters read the word free and think the club has received a gift. The club's accountant is calculating something else entirely.

That is a kind of understanding the scoreline never gives you. It is also the kind most easily replaced by a shrill opinion, because it demands reading financial statements instead of reading the table.

There is a small distinction I carry with me: being precise means hitting the same point every time; being accurate means hitting the target. Data gives us precision. Meaning we must find ourselves.

The blind spot of collective memory

My trade rewards the appearance of analysis rather than analysis itself. A report that looks auditable, furnished with tables and terminology, will be shared far more than a sentence reading: I do not know yet. And precisely for that reason, the most heavily produced commodity online each day is not understanding of football but its form.

The danger is that the product does not denounce itself. An analysis built on nothing still has a headline, a structure, a conclusion, and still reads fluently. It looks verifiable while offering nothing to verify. Three matches become a crisis; a heat map becomes a career verdict; a coach is judged by the very metric whose definition the writer has never read.

Collective memory in football has a familiar blind spot: we keep the conclusion and discard the method. Twenty years on, somebody will remember that a certain team played badly, but nobody will remember why we said so, over how many matches, and who said it first.

In Vietnam, where positional data remains a luxury for most clubs, young writers face a different trap: importing conclusions. Metrics from another league are carried home to describe a domestic player, a domestic back line, as though football were a physical constant. It is not. A team from a young, cash-poor football culture, playing on uneven pitches, can post the same PPDA as a European side for entirely opposite reasons.

I am not calling for data to be abandoned. I am calling for the gate to be kept. Before writing a claim about a player, ask: what is my information point, who says so, when, and what does that person gain from this story. If all four answers are empty, the correct answer is to leave it empty.

Apply the principle of praising people and criticising decisions and everything softens considerably. A defender makes a mistake in a phase his coach instructed him to push high while down to ten men — the decision deserves the challenge, not the legs. We usually choose the wrong target because criticising a person is easier to write than criticising a choice.

The empty seats still ring with singing, because longing is also a form of support.

What remains when the dashboard goes dark

I do not believe young writers today are weaker than my generation. They have more tools, more pressure, and less time to sit still in front of a match. At sixty-nine, I have learned that the world still runs faster than I do, but longing always stands still.

What I want to leave behind is not a warning about machines but a small habit: build yourself a gate, and stand by it even when it makes your writing shorter, slower, and less attractive to the algorithm. A mature sports press is not measured by how many pieces it publishes each day but by how many times it dares to say: this part I do not know yet.

If every dataset in the world vanished tomorrow, what would you still remember about the last match you watched? If the answer is only a scoreline, then perhaps we have let the empty cells decide for us for far too long.

I write slowly, because football is never in a hurry - it only waits for whoever is patient enough to understand.