The Courage of a Football Writer: Daring to Say 'Not Enough Data'

On the night of June 27, 2026, in Kazan, I sat in the press area with a stack of papers in my hand. Germany had just lost 0–2 to South Korea and been eliminated in the World Cup group stage. On the papers was an xG chart that a German technical assistant had shown me days earlier at the training centre in Moscow. The chart pointed to a fatal flaw: the gap between the two centre-backs stretched every time the opponent counter-attacked at speed. Joachim Löw saw it. He ignored it anyway. I sat there, sweat soaking my shirt, and understood that I had just been handed proof for the belief that has followed me through my whole career: data must be respected — but only when it actually exists.

But today's story is about something more dangerous: numbers conjured out of nothing.

I entered the profession from local radio stations in 2026, when statistics tables were still written by hand. By 2026, when I was first assigned to follow Beijing Guoan in the Chinese top flight, I had witnessed a revolution. Every training session had cameras, every match had thousands of data points. Young coaches began asking me how to read xG, how to understand PPDA. Football, after more than a century of relying on the eye, suddenly relied on the number.

And then I saw the other side. When everyone has data, data becomes the easiest thing to distort. A reporter can build an entire tactical analysis out of a stat table with no source. An expert can explain a defeat with three numbers nobody has verified. I have seen a transfer rumour built entirely on an anonymous post, then spread as 'exclusive information' within hours. I have seen people argue over a sell-on clause that no one knew even existed. Every contract is a promise with an expiry date, but most of what we hear about it is a rumour without a date. What I call 'false precision' is becoming the occupational disease of a whole generation.

Let me tell you another story. There are times when data says nothing at all. Not because the match has nothing to say, but because the way we collected the data broke down. I once received an analytical file in which the team name, the player names, the score, the passing stats — all were blank. Only one field had been filled in: 'football.' A null result.

In serious analytical circles, a null result is a valid answer. When the evidence is insufficient to conclude, the most correct conclusion is to state that no conclusion can yet be drawn. It sounds simple, but it is the hardest thing in the world for a writer. Because readers do not pay for silence. They pay for a story.

And this is where my profession stands before a moral line. If I receive an empty dataset, I have two choices. One is to invent a team, a player, a transfer fee, a tactic — so I have something to file. The other is to write the truth: that I do not yet have enough information. The first choice produces an article that sounds wonderful, deeply professional, utterly convincing. It is wrong in only one respect: it is not true.

I set myself a rule in 2026, after Beijing Guoan lost 1–2 to Shanghai SIPG despite 63% possession. That night, instead of writing immediately, I stayed up until two in the morning cross-checking at least three sources: pass counts, duel positions, and pitch temperature. Since then, I never use the phrase 'dominant possession' without a statistics table attached. Three sources, or nothing.

That rule sounds dry. Colleagues once mocked me for writing as if reading a report to an audit committee. But I believe one thing: the pitch does not lie — but people do. And people lie best not with words, but with numbers presented as if they were self-evident truth.

Look at the heat map. One deep-red patch on the left flank, and immediately everyone concludes that player was 'energetic.' But a heat map does not tell you whether he ran there because the tactical system forced him to be there, or because he abandoned his position. It hides a player's real role in the system. I call it 'the new astrology' — superstition dressed in data.

Meanwhile, a once-revered tactical school — gegenpressing — has been decoded to its bones. Mid-table teams learned to use physicality to turn football into track and field, and data models learned to measure that very erosion. But when everything can be measured, people start to forget a basic truth: a number only means something when we know the circumstances in which it was born. Add a strong wind, a wet pitch, a different referee — and the prettiest stat line becomes meaningless.

This is the most counterintuitive thing I have learned in 23 years: the most dangerous person in the press room is not the one who often gets things wrong. It is the one who always has an answer.

The person who always has an answer will never say 'I don't know.' He will fill every gap with a plausible hypothesis, an erudite-sounding index, a trustworthy-sounding name. And in football, where anything can happen, a plausible hypothesis is the cheapest thing in the world.

I lived with a team to understand why they lost. And the biggest lesson did not come from defeats that had data, but from defeats where the data was silent. The season was empty, but the bench still dips where they sat. Sometimes the only honest thing is the empty space.

So the next time you read an analysis stuffed with numbers, ask one question: where did these numbers come from? If there is no answer, you are reading a null result dressed up. And across a long season, the writer with real courage is not the one who delivers the most conclusions — but the one who holds conclusions back until the evidence is ripe.