The Nine-Dimension Template and the Empty Room: How the Esports Analysis Industry Is Fooling Itself

Late at night in Guangzhou, I opened a three-thousand-word file about a match that had not yet been played. It had all nine sections, it had tables, it had bolded subheadings, it had a "risk" section and an "industry transmission" section, and a status line at the bottom stating that the document was blocked for insufficient input data. Those three thousand words ended with a sentence that was technically correct and intellectually useless: insufficient information to assess.

What chilled me was not that the file was broken. What chilled me was that it looked almost indistinguishable from half the "deep analysis" floating around the esports content market today.

An empty file, packaged properly, looks exactly like a full one. It has structure. It has technical vocabulary. It has a table of contents. The only thing it lacks is a human willing to place a bet on a claim. And in this industry, the thing more frequently missing than data is the willingness to bet.

I have been writing about sports for twenty-two years, watching matches and transfer windows the whole time. Every week I receive dozens of analyses that are long, handsome, polished and hollow. They never say anything wrong, because they never say anything at all.

That is the subject of this piece. Not a specific match. But the mold that is churning out thousands of articles about every match, and the reason that mold appears to work so well.

Context: when structure becomes the product

The esports content market in China and Southeast Asia has entered a stage of quantity saturation. Channels multiply faster than matches do. Every small tournament has a few dozen reporters. Every transfer window spawns a new wave of long articles, and most of them contain no information the reader has not already heard elsewhere.

To cope with the pressure to publish constantly, the industry invented a technically reasonable solution: templates. A multi-dimensional analytical framework, usually nine or ten sections, covering patches, tournament format, rosters, regions, finances, rules, risk, media narrative and the industry's transmission chain. The framework has a big advantage: it never leaves the writer stuck. Wherever data is missing, the writer still has a cell to fill.

The problem lives inside that cell. When a framework lets you write "insufficient information to assess" in every box, the framework has turned ignorance into a valid format. And when ignorance becomes a valid format, it gets mass-produced, because it is cheap and harmless.

I have seen the same thing in football. For years, pre-match reporting in China lived on a formula: opponent's strengths, opponent's weaknesses, head-to-head history, predicted lineups. Four sections, three thousand characters, not a single claim that could be proven wrong. If nobody can be proven wrong, nobody has to take responsibility.

The nine-dimension esports template is a more sophisticated version of that old formula. It wraps itself in the language of data analysis, but inside it is still evasion, polished.

Core: four markers of a hollow analysis

After years of reading and being read, I distilled four markers. An article carrying all four needs no further reading to know it will say nothing.

Marker one: the article contains no claim that can be refuted. If every conclusion holds in every scenario, the article is hiding. A transfer piece saying "this deal may succeed if the player adapts, but may fail if he does not" has cancelled itself out. It is not wrong; it is just inert.

Marker two: the article uses volume in place of weight. Three thousand words across nine sections, three hundred words each, usually signals a match or a transfer that deserved three hundred words. Volume deceives readers with a feeling of seriousness. A table with ten rows reading "insufficient data" is not analysis. It is an unfilled job application.

Marker three, and the one I hate most: the article never names a specific individual who must bear responsibility. No coach named for a bad draft. No player named for a form collapse. No agent named for manipulating information. Anonymity is the last line of defense for the hollow writer.

Marker four: the article has a "risk" section that identifies no specific risk. Injury risk without saying who has an injury history. Financial risk without saying what the wage bill is. Public-opinion risk without saying what the community is angry about. Such a risk section is an alarm panel not wired to a bell.

These four markers do not come from nowhere. They have a clear economic logic. Hollow writing is cheaper than specific writing. A specific claim demands three expensive things: checking data, verifying sources, and accepting the risk of being proven wrong. None of the three is paid for by the advertising model, which rewards views rather than accuracy.

The result is a familiar paradox. The hollow writer is never wrong, so never loses credibility. The specific writer is wrong once, gets abused for a week, and that is the entire reward for daring to speak first. The incentive structure leans hard toward blandness.

I know that feeling from the inside. In March 2026, while working as an editor at a small football site in Guangzhou, I wrote that China should play long-ball football the Icelandic way instead of dreaming of tiki-taka, ahead of the World Cup qualifier against South Korea. The internet mocked me for a week. Seven days later, China beat South Korea 1-0 through a long pass from Wu Xi and a header from Yu Dabao. My old article was suddenly shared 1.8 million times on WeChat.

The lesson was not that I was clever. The lesson was that a specific claim, even a wrong one, is worth more than a safe framework. And I carried that lesson into esports when I pivoted my career.

Right one match earlier

People hate me because I am right one match earlier than they are.

That sounds arrogant, and it is arrogant. But it describes a professional phenomenon, not a personality trait. In esports analysis, the timing of a claim matters as much as its content. Someone who says in advance that a team will fail at a specific stage, for a specific reason, is more useful than someone who says afterward that the team failed. Yet in the moment, both sound alike. Only time tells them apart.

That is why the nine-dimension templates appeal to so many writers. They let you publish early without risking early. You can schedule an "analysis" for every match, and whatever the result, you already have a box saying things unfolded according to one of the scenarios you listed. The structure shields the writer from his own words.

In game-theory terms, this is an optimal strategy. In professional-credibility terms, it is the road to perfect meaninglessness.

Forget the score. The score is the thing hiding the truth.

I keep repeating that line whenever someone asks how to read an esports match. The score is the output. The story lives in the input. A team can win while sliding into internal collapse. A team can lose while advancing correctly along its tactical path. But to see that, you must stand inside the fine-grained data of each exchange, not inside a nine-dimension framework written before the match began.

In transfer season, the thing hiding the truth is not the score but the number on the deal. A transfer fee says nothing about a player's quality. It says something about the buyer's desperation, the seller's remaining contract leverage, and the skill of the agent in the middle. The transfer market is not a science – it is street psychology.

And street psychology cannot be analyzed with a template. You have to follow the money, the release clauses, the wage bill, and who is deleting posts and who is reposting them. The information is there, not in the nine-dimension table.

An empty stadium is a laboratory; a crowd is a confounding variable

An empty stadium is a laboratory; a crowd is a confounding variable.

In 2026, when major football leagues restarted in front of nobody, I collected data from roughly 150 matches and published that home advantage had nearly vanished. I was attacked for being callous, for profiteering off other people's pain. But the piece held, because it derived from observable data rather than the crowd's feelings.

That lesson applies directly to esports. When matches are played on a stage with no audience, invisible pressure disappears, and young teams often outperform expectations. When the audience returns, a new variable enters the equation, and experience-heavy teams regain an edge. A framework that cannot distinguish these two contexts is not analyzing anything.

This is the clearest sign that a writer is using a mold rather than observing. The mold does not know whether the match has a crowd. The mold does not know which server version the tournament runs. The mold does not know the star player was sick. The mold only knows the mold.

Contrarian: the template is not the culprit

Here I have to argue against myself, because a hot take without self-rebuttal is an advertisement.

If the nine-dimension template is so widespread, it must serve a real need. And the need is real: readers want the feeling of coverage. They want to believe a system is tracking every facet of the sport they love, including facets they do not understand. A nine-item list delivers that sense of safety. A specific claim about a specific match does not, because it can be wrong, and that fallibility produces anxiety.

In other words, the template is not the culprit. The template is the solution to a problem the industry has not dared name: audiences fear uncertainty, and writers fear responsibility. Two fears meet, and the result is three thousand words saying nothing.

But there is a flip side to the defense of templates. If we accept that templates exist because audiences need them, we are betting on a dangerous assumption: that audiences stay naive forever. I do not believe that. Readers grow sharper. They learn to recognize an article with nothing at stake. And when they recognize it, they do not get angry. They leave quietly, which is far worse.

I was wrong in 2026, and I will be wrong again. The difference is who dares to speak first.

At the 2026 World Cup in Russia, I predicted Brazil would win and they were eliminated by Belgium in the quarterfinals. I was forced to write three words, "I was wrong about Brazil," and the apology piece drew half a million reads. At the 2026 World Cup in Qatar, I predicted Saudi Arabia would beat Argentina 2-1 through a high offside trap, and it happened, with three Argentina goals disallowed. Two opposite results, both inside one method: speak early, be specific, and own what you said.

A mistake acknowledged is an asset. A vagueness kept hidden is a debt.

Why templates breed in transfer season

Transfer season is the perfect habitat for hollow articles, because the transfer market itself is a high-noise system. Rumours are cheaper than facts, and they travel faster. In that environment, a specific article risks being refuted within three days, while a nine-dimension article can persist indefinitely.

Readers, meanwhile, need a different tool: a credibility filter. They do not need another rumour roundup. They need someone to sort rumours by evidence. Who has an official source, who has an agent-side source, who is just speculating from an anonymous account. That work is hard and unglamorous. It generates no pretty headlines. It only generates credibility.

I still tell my team that a mold is scaffolding. Scaffolding is for building a house, not for selling. If you sell the scaffolding, you are selling the feeling of a building that never existed.

And here is the commercial crux: in a saturated market, specificity is the only competitive advantage left. Anyone can write three thousand words. Not everyone dares to write a sentence that can be proven wrong next Friday.

The line between analysis and decoration

I want to separate two things that get conflated: analysis and decoration.

Decoration is presentation. It includes charts, tables of contents, terminology, smooth prose. Decoration is not bad. It helps readers follow along, and it makes complex information accessible, much as major sports commentators simplify technical jargon so non-specialists still understand.

Analysis is assertion. It includes verifiable judgments, reasoned data choices, clearly stated limits. Analysis cannot be replaced by decoration, because its essence is a bet.

An article that is all decoration is easy to spot once you ask: if you strip away the subheadings and tables, what remains? If only two sentences remain, then the article has two sentences. The rest is framework.

An article that upsets nobody, I consider a failed piece.

I do not say that to flaunt controversy. I say it as a technical standard. If an analysis of a tactical decision, a transfer, or a rules change upsets nobody, it has not touched any hot point of the issue. It has avoided exactly the place that needed digging.

The price of being specific

I have paid for specificity. In 2026 I mispronounced Mario Mandžukić's name three times during a pre-semifinal broadcast, was corrected by viewers, and spent a month reviewing Slavic phonetics. In the same tournament I wrote that Germany would be eliminated in the group stage, and when Germany lost 0-2 to South Korea, that series was shared widely. I was partly right and partly wrong within the same tournament. That is the normal shape of a writer willing to speak first.

By the 2026 World Cup, after my Qatar analysis caused two sponsors to withdraw, I understood one more thing: a responsible hot take cannot afford to fear losing money. If your judgment depends on who pays you, it is no longer a judgment. It is part of the contract.

China's style of play is not the worst thing. The worst thing is a crowd that does not dare look straight at it.

I said that about football, but it is truer of esports, where audiences hold more data than in any other sport and still choose to believe articles containing no data at all. The laziness of the audience and the blandness of the writer are two faces of the same coin.

What will change

I believe that within eighteen months, nine-dimension templates will lose value. Not because someone condemns them. But because readers will learn to recognize them faster than they can be produced.

Three signals I am tracking. One, credible channels will start publicly disclosing their own hit rate, quarterly, as a brand metric. Two, analyses will get shorter in presentation and longer in evidence, with match data, draft data and specific source citations replacing empty tables. Three, audiences will start asking one simple, brutal question: what did this article say in advance?

Channels that can answer that question will survive. Those that cannot will still exist, but in a dark corner, like an empty file, beautifully packaged.

I am not certain about the timeline. I have been wrong about many timelines. But on direction, I am willing to bet: specificity will beat completeness, because readers do not need an article covering every facet. They need an article hitting one facet hard enough that they have to rethink what they believed.

If you are writing an analysis this week and it feels safe, try one thing. Delete the table of contents. Delete the tables. Read each sentence and ask: can this be proven wrong? If none can, you are not analyzing. You are packaging an empty room and selling it as a building.

As for me, I would still rather be specifically wrong than correctly irrelevant.

And you?