The Empty Pipeline: The Trap of Football Writing That Sounds Too Certain

I have just finished reading a nine-part football analysis. It had everything a professional document needs: a tactical framework, a club-finance section, a transfer-market section, even a six-row risk matrix. But by the final line, I realised something: almost every cell in it carried the same sentence — "insufficient information to assess". A vast machine ran through dozens of steps and returned a perfect zero. What chilled me was its outward appearance. The emptiness inside was plain to see; the tidy shell was what deceived the reader. In modern football, analysis has become an industrial assembly line. An article no longer begins with sitting down to watch a match; it begins with a process: raw data is fed in, a deconstruction layer turns the source into information points, and a deep-analysis layer turns those points into conclusions. It sounds scientific. But every line has a breaking point, and the most lethal one sits at the very first step — where the input is empty. When the input is empty, everything downstream is an illusion. With no information points, there is nothing to analyse. The logic is so simple that everyone nods, until they see its real consequence: a document thousands of words long, full of tables and jargon, can be generated out of thin air while keeping the bearing of a professional report. In my trade, that bearing sells. I am not talking about a rare technical glitch. I am talking about a permanent temptation. When a process returns an empty result, the operator faces two choices. One is to stop and say plainly: the input has nothing, no conclusion is possible. The other is to quietly patch the hole with a few plausible-sounding inferences so the final product looks full. The second choice is always more attractive, because it yields a complete piece, a well-padded document, something publishable at once. And here I must be blunt about my own profession: we live in an age where confidence is rewarded more than accuracy. A decisive headline, a tidy conclusion, a voice free of hesitation — that is what algorithms and editors both love. A sentence like "I do not have enough data to conclude", by contrast, is treated as weak. It earns no clicks. It sparks no argument. It has nothing to spread. In the end, that is why empty pipelines are more dangerous than we think. They do not lie with wrong figures. They lie with structure. A table titled "tactical analysis", a row of "key metrics", a column of "conclusions" — all of it creates the feeling that a rigorous verification process sits behind them. But when every cell reads "insufficient information", that structure is merely the skeleton of a belief with no flesh. The irony is that modern football analysis was built on the opposite promise. We taught audiences to believe football could be measured. We introduced metrics that sound solid: xG, expected goals, measuring chance quality through the probability that a shot becomes a goal; PPDA, the passes an opponent is allowed before each defensive action, measuring pressing intensity. These are real tools, standardised and widely used by sports-data providers such as Opta. But precisely because they are real, people forget they only hold value when standing on real data. An xG figure does not conjure itself out of thin air. It needs a recorded shot, a coordinate, a specific situation. I have spent years in the stands and in newsrooms reminding myself of that. Based on my experience following matches, a metric is only trustworthy when I know where it comes from. The biggest shock of my writing career did not come from a team's defeat, but from a time I nearly published a beautiful yet hollow conclusion. From then on I set myself a two-source rule: every provocative claim must be backed by at least two independent sources, and when there is none, I choose silence over guessing. That rule sounds rigid, until you see what it protects. It protects readers from the illusion that everything has been verified. And it protects the writer from the trade's biggest trap: trusting one's own tone more than one's evidence. The unsung hero does not need goals to be remembered — that holds for players, and for writers too. An analysis does not need stunning conclusions to be respected. It needs honesty about what it knows and what it does not. Football has its own law: the humble hold the key, the loud hold the ticket. But a ticket says nothing about the key. On an empty night, in an empty stadium, I hear the breathing of a sport that was once loud. That breathing does not speak in tables. It speaks by admitting there are silences data has not touched, and those silences deserve more respect than being filled with a few very certain-sounding sentences. Now it is my turn to go against myself. I am known for contrarian takes, for being willing to stand against the crowd. It would be easy to turn this piece into a rousing call: abandon analysis, return to pure emotion. But going against the crowd does not mean going against data. Good data remains the most valuable thing this industry has. The problem lies in using tools to cover up emptiness. The enemy is not the analysis pipeline. The enemy is the operator who runs that pipeline and then quietly fills the void with a few agreeable inferences. I may be wrong. Perhaps in some cases a little inference helps readers grasp a problem faster, and silence only drives them away. If so, take this as my bet on the opposite side: that football readers, after years of being force-fed analyses that sound too certain, are beginning to recognise the value of the word "unknown". Glory is never free; we simply owe for it without knowing. So it is with the empty machine: it does not take our money, it takes our trust — something far dearer. Next time you read a football analysis that flows too smoothly, try asking one simple thing: what data is it built on, and who verified that data? If the answer is a silence, then perhaps that silence is the most honest part of the piece.