When “sports analysis” can only say N/A: Lessons from an empty martial-arts report

“People lock the stadium door, but no one locks the pen.” That line ran through my head as I opened a sports analysis labelled Stage-1 deconstruction. It ran more than 3,000 words, complete with tables, subheadings and risk warnings. Yet I found no fighter’s name, no bout, no organisation and no statistical figure. Every section, from technical-tactical to athlete health, repeated the same two letters: N/A. Not enough data. Cannot assess. I left Vietnam forty years ago and now live in Incheon, writing about martial arts for the Korean market. I have watched sports journalism move into the data age, and then into the automation age. But this is the first time I have seen a deep-analysis document work so hard to describe its own emptiness. The document offered six parts and eight analytical dimensions: matchup and technique, physical condition, organisation, business model, rules and governance, health risk, public narrative, and industry transmission. Look at each section, and you find tables with rows named Assessment and Risk Level; they look professional. But every data cell is filled with N/A. One line even says that the label martial arts is too broad to determine whether to apply MMA, boxing, Muay Thai or sanda logic. What creates such a document? It is not hard to understand. It is the product of an automated pipeline built to imitate the structure of sports analysis but assigned an input with no event name and no fighter name. To respect factual accuracy, the system does not invent data; it produces conclusions containing the phrase not assessable. Superstars are canonised by the audience, and dethroned by the audience. In an automated report there is no superstar, so there is nothing to praise or pull down. That is both funny and frightening. Make no mistake: tiki-taka was not killed by anyone; it strangled itself with meaningless passes. Sports journalism does not need an outside enemy to die. It can suffocate inside its own slick tables, filled with empty sections, if editors keep chasing fast writing tools without checking the input data. I am not saying this to mock technology. At sixty-four, I still learn to use a computer every day. But journalistic discipline taught me that an article needs more than a beautiful structure; it needs a judgment that can withstand verification. Not enough data may be the most honest answer, but it should not stand where a professional answer is expected. Call it not yet analysed. The paradox is that this dense N/A report is still worth more than countless fake analyses online, where writers invent backstage stories, invent quotes and invent expert opinions simply to keep readers engaged. 2026 taught me that football is only the echo of human beings in an age of silence. If there are no humans in the stadium, the report must still tell the truth about that emptiness. A document that says not determined deceives no one. Do not trust the scoreboard; trust the moment, where the match truly belongs. The moment an AI system admits its own limits is exactly when readers understand what editors need: not filler information, but the courage to leave the page blank. So should a 3,000-word article full of N/A be published? The answer lies in the newsroom. If editors want to do clean journalism, they will use it only as an inventory of errors. If they try to publish it as deep analysis, readers will leave. Let these open questions answer themselves: in a major tournament season, do we need analysis before data, or data before analysis? For me, that is where sports journalism is standing: on a wire between speed and truth.