The Empty File Syndrome: The Disease of Modern Football Analysis

In a small studio in Tianhe District, Guangzhou, a 26-year-old junior journalist showed me a 40-page deep analysis report on a match he had never watched. He had not seen the match — and he had not a single line of data about it. Yet the report was full of conclusions: a PPDA figure, a 4-2-3-1 system, a midfield blind spot, players who get dribbled past. I read to page three, then set the report down on the table. The kid had just read an empty file and written a dissertation.

I know where that feeling comes from. On 17 June 2026, on the stands of Luzhniki Stadium in Moscow, I recorded a line that the whole city would later call a prophecy: German football is dead. Three days later, Germany were eliminated in the group stage for the first time since 2026. The three-minute video drew 12 million views on Weibo within 24 hours. But I know what stood behind that glow: I never once rewatched the tape of Germany losing 0-1 to Mexico. I let the emotion of a June evening write for me.

That was seven years ago. But it has become the story of the 2026-2026 season, with one difference: the empty file no longer sits in the hands of an emotional journalist. It sits in the hands of a machine.

Since 2026, football media in Vietnam and China has seen an unprecedented explosion in the volume of analysis pieces. Every match in the Premier League, La Liga, V.League or AFC Champions League is dissected within three hours of the final whistle. That sounds encouraging. But when I sat down to count during one week of December 2026, I found something frightening: of the 240 deep analysis pieces my system collected from Vietnamese and Chinese platforms, only 31 cited raw data from a verifiable source — under 13 percent.

What was the rest? Pieces that open with the phrase based on my observation while containing no observation at all. Paragraphs about midfield pressure with not a single duel figure. 40-page reports generated from an empty file, exactly like the young journalist in Guangzhou.

This industry carries a curse. In August 2026, when Jack Grealish left Aston Villa for Manchester City for a fee of 100 million pounds — then a record for English football — hundreds of analysis pieces appeared within 48 hours. I read 20 of them. Eighteen claimed Grealish was a direct replacement for Raheem Sterling. One said he was a receiving player. Exactly one dissected the pressing data and pointed out that Grealish is not a runner but a ball-carrier on the left flank. In reality, in the 2026-2026 season Grealish started only 22 Premier League matches and scored a mere 3 goals for Manchester City. He was not poor. The analysts had drawn a different player inside their own heads.

The problem runs deeper than ordinary fake news. It lies in this: confidence has become a commodity, while data has become decoration.

I call this disease the empty file syndrome. The symptoms are clear: the analyst starts with a conclusion, then goes looking for data to back it — and when he finds none, he invents the data. In 2026, a study by Beijing Sport University examined 500 football analysis pieces on Chinese social platforms. The result: 34 percent contained at least one fabricated or misattributed figure. The highest share belonged to xG — which I still call the new fortune-telling of contemporary football.

I myself was once a victim of this storm. In 2026, after I said on the first episode of the Trap of Offside podcast that the Guangzhou Evergrande dynasty was over, the online community called me a traitor. By November that year Evergrande officially lost the title after seven straight years, and I suddenly became a prophet. I believed it. Until the community exposed three statistics I had gotten wrong in one piece about the Evergrande and Shanghai SIPG head-to-head record. An aggregate of 5-5 across the 2026 AFC Champions League semi-final, I wrote as 6-4. An average possession of 48 percent, I wrote as 45 percent. Small numbers. But when you are wrong three times in the same piece on the same subject, readers have the right to ask: how many more times will you be right?

From that day I imposed an unwritten rule: every provocative sentence must carry at least one figure that can be independently checked. No number, no sentence. No source, no broadcast.

But my rule differs from the market's rule. The problem of the 2026-2026 season is this: readers no longer check figures. They check emotion. A dry piece with 15 source links will not match an 800-word piece declaring that a club is collapsing without a single piece of evidence. Data takes time to process; confidence is consumed instantly.

The transfer market is the clearest mirror of this disease. In January 2026, Chelsea paid 106.8 million pounds for Enzo Fernández, making him the most expensive player in English history at that time. Within 24 hours hundreds of analysis pieces appeared, most discussing his exceptional vision and his ability to control the tempo of a match. But if you rewatch Enzo's last 12 matches at Benfica before the move, you will see a midfielder good at progressing the ball from deep — not a number 10 playmaker. Most of the people writing about exceptional vision had not watched three of his matches in the Primeira Liga. They read a line posted online, then retyped it into a long article.

This disease kills the truth. But it also kills the capacity for real analysis. Once an analyst is used to pulling fake data to prop up a conclusion, he gradually loses the ability to be contradicted by real data. I once called it the offside trap in argument: you lay out a deliberately wrong point so readers charge in to rebut it, then you suddenly release the data at the end. But that trap only works when the data actually exists. When the data is gone, all you have left is an empty net.

Maybe I am wrong. I have to say that out loud, because if I do not, I will turn myself into a machine printing cheap prophecies.

There is a counter-argument worth taking seriously: football is not a financial report. People watch football for emotion, for the moment the ball crosses the line in the 90+4th minute, for the roar of the stands. If every analysis were as dry as a spreadsheet, would we still keep the soul of this sport? Might confidence without data be exactly what has made millions love football for a century?

I once stood on the stands of Luzhniki and shouted that German football was dead. I had no data. I only had a feeling. But that feeling made 12 million people stop and think. If I had sat there calculating xG before recording, would the video still have carried that force?

Here is the point I must confess: I am not against provocation. I am against empty provocation. The difference lies in this — one person spends 10 hours rewatching tape before firing off a biting line, and another merely reads a headline and retypes it. Both can provoke. But only one can defend his view when challenged.

Last season I witnessed an experiment at a small podcast run by students in Hanoi. They split into two groups. Group A wrote match analysis based on direct impression. Group B wrote based on extracted event data. After both groups rewatched the match tape, Group A found they had misdescribed up to four of ten situations. Group B described nine of ten correctly. But when presenting, Group A was remembered by audiences three times as often. Emotion beats data in memory — but data beats emotion in truth.

If I am wrong about this, if confidence without data truly is the correct game of the industry, then I apologise right here. But I will not apologise for checking my own figures three times before broadcasting. Better to be an eccentric alone in a studio than to speak from someone else's script.

My prediction for the rest of the 2026-2026 season and beyond: at least one major football analysis platform will be exposed for citing fake data in a transfer event within the next 18 months. Not because I want it to happen, but because the empty file syndrome has reached the metastatic stage.

The question I leave with you, the listeners of this podcast: when your analyst delivers a conclusion, do you trust the conclusion, or trust the person who said it? And if the person matters more than the evidence, when will you start demanding evidence?

I will return to this subject in three months. If I am wrong, you know where to find me to challenge me. If I am right, all of Moscow will again call it a prophecy.