The Empty Dossier and Football's Hollow-Data Disease

On Thursday night, a programme producer in Barcelona sent me an eleven-page dossier. The cover read: comprehensive analysis file. Inside were nine large sections, each with a proper table — tactics and technique, club finance, the transfer market, match results, the league landscape, rules and governance, the dressing room, risk profile, media. Every cell in every table returned the same value: N/A. No team names. No player names. Not a single minute of play, not a single pass, not one figure. The producer added one line: you are on air for twenty minutes, stick to this framework. I sat looking at eleven blank pages wearing a suit. In that moment I understood that the biggest problem in football commentary today is not bad data. It is empty data being treated as real data. Five years ago a studio wanted a match. Today it wants a framework. Broadcasters no longer ask which game you watched, they ask how many sections you can supply. Numbers have become a mandatory coat of paint: xG, PPDA, passes into the final third, heat maps. Opta, Stats Perform, FBref supply the raw material for an entire content industry. In Vietnam that current arrived later but moves faster: every V-League round generates hundreds of analysis clips, every national-team bulletin comes with a few graphics, and most of them cite no measurement source at all. The consensus is neat: if you want to talk tactics, you must talk in numbers. I agree with half of it. The other half is where I make my living: a figure with no provenance is just a sentence written in digits. That eleven-page dossier, in the end, was a rare act of honesty. It invented no club. It said plainly: no raw material, no conclusion. The frightening part is the process behind it, where a system cannot tell “no content” apart from “content not extracted”. One emptiness is real, the other is a fault. Both are handled identically, then passed downstream like an inspected parcel. That is a design flaw, not a writer's flaw. I have one rule of my own, built after a near-loss of credibility. In 2026 I wrote about Luka Modrić, then 32, using Opta data showing his pass-completion rate falling from 82 per cent to 61 per cent under pressure. The piece drew 2.3 million views and 15,000 comments in three days. The Madridista community called me a vandal. What I kept was not the views but the lesson: when a figure is challenged, I need a second and third figure standing beside it, with the name of the measuring body attached. The 2026 World Cup gave me a second chance. After France beat Argentina 4-3 in the round of 16, the world talked about Kylian Mbappé. I wrote that Mbappé is the future but that France won because of N'Golo Kanté. In the final against Croatia, Kanté made nine ball recoveries and five tackles. Didier Deschamps mentioned that view at a post-tournament press conference. Kante gave me the belief that the quietest man can be the rightest one. That belief still has to be tested with data, not emotion. And here is where I part with the crowd: possession percentage is the most deceptive metric in the modern data set. At the 2026 World Cup, in the round of 16, Spain made 1,029 passes against Russia, who made 202, with roughly 75 per cent possession. Spain went out on penalties. Sixty per cent possession usually just means sixty per cent of sideways passes going nowhere. Vietnamese football is importing this toolkit without importing the discipline that comes with it. A player is called a number 10 in the V-League because he cushions the ball with his heel and scored one beautiful goal on television, while his chance-creation figures sit below those of an unglamorous holding midfielder. The number 10 shirt is sometimes just a curtain over emptiness. I have written about counterfeit number 10s for years, and I will keep writing, because the market still pays for the shell. A more concrete example. At the 2026 AFF Cup, Vietnam beat Thailand 5-3 over two legs, the second on 5 January 2026 in Bangkok. Nguyễn Xuân Son finished the tournament as top scorer and best player. That result is real and worth remembering. Within hours, social media had built another layer of meaning: Vietnam crushed Thailand. Both legs were tight and both were settled by second-half moments. When a second layer is repeated often enough it becomes collective memory, and collective memory needs no source. The propagation mechanism of empty data looks like a passing sequence. An anonymous account posts a transfer story. A news site picks it up and adds “reportedly”. A television bulletin picks up the news site and adds a photo of the player. A fan picks up the bulletin and adds emotion. By the fourth pass the story carries enough detail to live on its own, though nobody has confirmed anything. I call that a goal scored from an offside position, with a referee who never blows. The submerged part sits in club data rooms. Many places judge an analytics department by page count, not accuracy. That pressure produces report templates in which blank fields must be filled. When a metric is missing, people write “high potential”, “needs more time”, “fits the philosophy”. Those phrases are N/A dressed as adjectives. And in a system that only counts goals, a ball-winning midfielder who never appears on the scoresheet will be undervalued for an entire career. The quiet hero does not need goals to be remembered, but he needs someone willing to do the measuring. I remember a night at Mỹ Đình stadium after a match, when the stands had gone dark. On an empty ground I heard the breathing of a sport that used to be loud. There were no tables there, only grass, boot marks and a row of plastic seats. Football begins in that emptiness, not in an N/A cell. Now the part where I may be wrong. My 2026 Modrić piece rested on a single season. The sample size was one. The drop from 82 to 61 was real, but the conclusion I laid over it was too absolute, and I let the headline run ahead of the data. A month later, Modrić won the 2026 Ballon d'Or. Right or wrong about the man, I offer no alibi: what I learned is that correct data can still serve a wrong frame. Good measurement protects nobody from asking the wrong question. I also have to examine myself. A writer who lives on contrarian opinions risks becoming a machine that prints on schedule. One shock a week, one shock one table of three numbers. If I keep producing when there is nothing worth saying, I differ from that producer only in that I do not send eleven blank pages — I send eleven pages filled in with prose. The test is simple. If nobody objected, would I still write this piece? If the answer is that I write only to have a piece, I should close the laptop. A verifiable prediction: within twelve months, at least one Vietnamese football media outlet will have to correct or pull a data product because the measurement source cannot be traced. When that happens, the question to ask is not who copied whom, but who measured first. And if you take one habit from this piece, take the shortest question: who measured it? Ask that before asking who is good.