N/A - 1,900 Words Without Football

On Tuesday morning, I received a 1,900-word document from the automated analysis system our newsroom is testing. The document was titled 'Stage-2 Deep Professional Analysis', promising nine-dimensional space analysis of a match. I opened it. The first page read 'Article Title: N/A'. The second read 'Tactical Analysis: N/A — insufficient information'. Pages three, four, five, six... All were N/A. More than 1,900 words of football analysis without a single sentence about football.

I sat still for a moment. In 22 years of reporting, I had never encountered a document this long that was this empty. No players, no clubs, no scores, no tactical formations — but it had complete tables, analytical frameworks, and risk matrices graded High, Medium, Low.

It reminded me of 2026, when the pandemic stopped every competition. I asked to enter Seoul World Cup Stadium twice a week, where no match would be played. Kim Sang-oh, 58, a groundskeeper for 15 years, kept mowing the grass even though no one would watch. The series I wrote then was called 'The Silent Pitch' — twelve parts, no players appeared, only the sound of the mower and shadows imprinted on the turf.

This report was like a stadium — complete with goals, touchlines, seats, cameras. But not a single person. I don't know whether the AI system planned it, but I wasn't laughing. It felt familiar.

I went through the document dimension by dimension. The tactical section stated that no assessment was possible because there was no subject. The transfer finance section broke revenue into categories like broadcasting, commercial, wages — all N/A. The dressing-room section had a key-person tracking table with columns for age, contract, injury, media pressure. Not a single name. The risk section even produced a seven-row matrix, and six of those rows read 'N/A — no sporting subject identified'. Only one row was marked High: the risk of 'analytical contamination' — meaning if the system tried to produce content from empty data, it would be fabrication.

In the age of big data, people believe football can be measured with numbers. Every touch is recorded, every pass is counted, every player is graded on dozens of websites. Clubs spend millions on data-analysis departments, buy tracking software, equip every player with GPS during training. 'Big data' has become a mantra, repeated like a prayer in modern boardrooms.

This automated analysis system was born from that faith. It was programmed to read an article, extract information, then analyze it along nine dimensions: tactics, transfer finance, results, league position, rule compliance, dressing room, risk, public opinion, and industry impact. It sounds comprehensive. It sounds modern. It sounds standard.

But it received an empty input and produced a 1,900-word output. It even managed to write: 'The only safe verdict is a refusal to analyse the football content, which is what this document does.' A machine system had evolved to the point of knowing how to refuse, knowing how to recognize its own emptiness.

I have met people who know how to look into emptiness. The one at the end of the bench, who watches teammates score in stoppage time and is never named. I learn more from the person at the end of the bench than from the one lifting the trophy. They know how to count time without a scoreboard.

In the summer of 2026, I was 29, covering FC Seoul. In the match against Jeonbuk on July 15, I noticed a left-back, number 22, named Park Min-jun, 21 years old, who delivered three successful crosses in the first half. He kept running, going forward then coming back, without a break. After the match, I wrote an introduction to him, emphasizing five chances created. The editor rejected it: no sensational news. Three months later, Park Min-jun was sent to a second-division team. I silently accepted responsibility: I should have written more strongly, defended a finding I believed was true, with numbers, with concrete details.

This N/A report, ironically, was doing what I failed to do back then — it bravely admitted it had insufficient information. It clearly states in the first section: 'No tactical analysis is possible: the input contains no analysis subject, no formation, no style-of-play concept.' Many might laugh at an analysis system that could not analyze anything. I did not laugh.

I remember the mornings I arrived at the stadium very early, sitting for an hour just to watch the management rearrange chairs in the press room. I remember long flights with the team when no one spoke, only the sound of suitcase wheels rolling across the airport. I remember how players breathed when the ball missed the post — not the roar of the stands, but their longest exhale. People look at the scoreboard; I look at how they breathe when the ball goes wide. This N/A report had no players to watch, no breath to listen to, but it gave me something no report had ever given me: an honest acknowledgment of its own limits.

When an AI system produces 1,900 words without a single player, it inadvertently exposes a boundary. Many fear AI will replace sports journalists. I have read many articles about this in recent years. But this report proves the opposite. It can write grammatically correct sentences, build a tight structure, use terms like xG, PPDA, FFP fluently. It even has a 'Risk Flags' section with pre-checked boxes. Yet it never understood that football is more than data.

Football is a 21-year-old boy sold to a second-division team because no one believed in his five chances created in a July match. Football is a 58-year-old groundskeeper still mowing the grass in an empty stadium because he believed the season would return. Football is two stars stacking shoes, towels and water bottles neatly after a defeat, before the cameras turned off. The empty stadium taught me that noise is not football — football is what remains when no one is cheering anymore.

I wrote 'The Silent Pitch' series, twelve parts without a single goal. It won the national sports journalism award that year. In the final part, I wrote: 'People think stadiums need audiences to survive. But the groundskeeper knows the turf does not need cheering; it needs water, sunlight and patient hands.' There are numbers that do not appear on statistics pages; they live in the eyes of the fans.

This N/A report would be saved in the system. The AI would not be sad about being useless. It would not lie awake at night. It would not call a colleague to tell them about a 21-year-old left-back with tireless legs.

But I would.

I kept that report on my desk for three more days. I wanted to see it every time I opened my eyes, as a reminder of the most important thing in this profession: writing fast is not important, having lots of data is not important, chasing clicks is not important. The best sports writer is not the fastest runner, but the one who stays the longest.

An AI can produce 1,900 words of analysis without a trace of a human. But it will never sit in the reporter's seat in the stadium corridor after a defeat, watching two players quietly arrange their teammates' shoes. It will never understand why that moment moved a sports writer to share it more than 20,000 times.

The emptiness of this report does not come from a failure of AI. It is a reminder to me: as algorithms become better at writing, the task of humans is not to write like algorithms, but to preserve what algorithms cannot measure. Next year, another system will produce another report. It may be smarter, more accurate, filled with player names, clubs, transfer figures. But it will never ask why a forgotten 21-year-old left-back had five chances created in a July match that no one mentioned.

I will keep arriving at the stadium early. I will keep recording conversations with quiet football people. I will keep writing about those who never appear on the scoresheet. And when the AI produces its next report, however thick or thin, I will read it, learn from it, and write the story it can never write.

Because every season is a drumbeat. My job is to listen until it becomes a melody. Even if the silence between two beats lasts forever.