Nine Analysis Sections, Not a Single Metric: Esports Is Grading Itself With the Letters N/A

10:40 p.m., Binh Duong. On my screen sits a file more than thirty pages long. Nine sections. A risk matrix, a transmission map running from game publishers down to derivative markets, a meta-analysis framework, a tournament-format framework, a club-finance framework, a governance-and-compliance framework. All of it present.

Not a single cell contains a number.

Every line reads the same: “N/A — insufficient information, cannot assess.” Thirty pages, hundreds of cells, and the only thing this file actually communicates is its own name. A level-two deep esports analysis, run through the correct process, adhering strictly to the transparent-sourcing rule, ending with an admission that it has nothing to say.

That analysis is not wrong.

When I was 14, the 2026 World Cup taught me that the weak do not win by miracles. Back then I had ninety minutes of footage, one Excel file and three sleepless nights. I counted every high press Germany attempted, every backward pass, then wrote a piece titled “The champion died in 2026.” Eight thousand shares in 48 hours. At the time I thought what I lacked was data.

Six years later I am sitting in front of a document longer than anything I have ever opened, and I still lack data.

The difference is this: at 14 I knew what I was missing. The esports industry does not.

Every day, hundreds of “analysis” pieces about League of Legends, Valorant, Dota 2, PUBG Mobile and Arena of Valor are published across Vietnamese platforms. Most of them begin with a roster announcement on a club’s Facebook page, a 40-second highlight clip, or a standings table with no source attached. From those three ingredients, the writer constructs a conclusion about tactics, about form, about the future of an entire team.

I have followed VCS matches and international tournaments for years, long enough to spot a pattern: the volume of conclusions this industry produces always exceeds the volume of evidence it produces, and the gap between the two keeps widening rather than closing.

The empty stadiums of 2026 were a data laboratory nobody asked permission to enter. I spent three weeks of lockdown re-watching 52 Bundesliga matches played without crowds, and what I found sat outside football: it was a method. When you cut one variable out of a system, the rest of the system declares its own value. I carried that method into esports. And I discovered that here, variables are not cut — they are hidden.

Let us go from the top down.

Publishers hold the most data and release the least. Riot Games owns the full match history, the complete pick-and-ban record of every professional league, and the exact game clock of every fight. What reaches the public is a fraction: results and a handful of on-broadcast metrics. Practice data, scrim data, contract-negotiation data — the three categories with the highest analytical value — never leave the server.

Riot does publish patch notes on schedule, but never champion win rates at a granularity that would let an outsider reproduce an analysis. The community is forced to build its own measuring tools from public API data, and those tools always lag the meta by a few weeks — exactly the window when the argument is loudest.

Valve took a different path, and that path left a public trace. The International 2026 prize pool reached USD 40,018,195, according to Liquipedia’s compilation. By The International 2026, the pool was USD 3,080,384. A drop of more than 92% in two years, and almost all of it came from Valve narrowing the community crowdfunding mechanism — which also narrowed the only financial data channel outsiders were ever allowed to look through.

In the middle layer — clubs and tournament organisers — things get murkier still. For years, VCS, Vietnam’s top League of Legends league, has operated without a public statistics portal dense enough for an outsider to verify anything independently. Rosters are announced via social media posts. Schedules change through brief notices. The biggest personnel shifts of a season sometimes exist only as a screenshot that gets passed around.

GAM Esports is the Vietnamese name that has appeared most often at the League of Legends World Championship, with faces the public knows well such as Do Duy Khanh (Levi) and Tran Duy Sang (Kiaya). The names are public. The metrics needed to assess them on the international stage — vision control time, fight participation rate, first-10-minute death rate — exist in no Vietnamese data portal at all.

The bottom layer, where I stand, is where the damage lands.

When the upstream runs dry, the downstream does not fall silent — it switches to adjectives. “Surging form.” “Explosive fighting spirit.” “A playstyle rich in unpredictability.” Those phrases are not wrong; they simply cannot be wrong, and that is the problem. Without data, every conclusion is literature, and literature cannot be rebutted with statistics. A claim like that may be true, may be false, but there is no way to test it — meaning it sits outside the entire evaluation system of this profession.

People call that an illusion; I call it a hypothesis awaiting verification.

There is one case showing that data is not as scarce as all that — it simply is not released. In 2026, Riot Games announced penalties against a large number of VCS players and coaches connected to match-fixing. It is one of the biggest cases in the history of Vietnamese esports. The organiser named names, named the disciplinary measures, named the durations. But the evidence file — who contacted whom, at what moment, where the money travelled, which match was interfered with at which minute — was never made public.

As a result, for months the bulk of Vietnamese coverage was speculation delivered in a declarative tone. I am not saying that speculation was wrong. I am pointing out that it could not be verified, even by someone willing to verify it in good faith.

Here I have to draw a line for myself, because I know exactly where I am likely to slip.

The document I opened last night is empty, and part of the reason may well be technical: no source was ever fed in. If so, that emptiness belongs to the pipeline, not necessarily to the industry. A nine-section analysis full of N/A may be evidence of a data line clogged at the intake stage, not evidence that esports has nothing to say.

But even setting that assumption aside, the rest stands. Because I have spent six years digging up data by hand for my own writing, and I know exactly what 2 a.m. feels like when you want to check whether a team has genuinely changed its approach to outer turrets, and the only thing you have is a TikTok clip with no identifiable uploader.

So the counter-argument in this piece is not about whether data is missing. It is about whether that scarcity is a problem.

There is a serious case that it is harmless. Scrim data is the only competitive asset a small team owns; publishing it hands a weapon to next week’s opponent. Contract-negotiation data is an employee’s private information, and keeping it sealed is a shield rather than a gap. Publishers keeping internal data closed also has an operational logic: they do not want the community optimising a meta before the meta has stabilised.

In other words, the esports data void is partly a by-product of things worth protecting. Demanding total disclosure might not make the industry more transparent — it might only weaken the weak and make the strong, the ones with in-house analytics departments, even more dominant.

I find that argument reasonable. I still do not find it sufficient. Because between “we will not publish scrim data” and “we will not publish head-to-head history, match duration, or pick-ban frequency” lies a very wide gap. The first protects competitive advantage. The second protects nothing but inconvenience.

And there is one category nobody can justify hiding: data about the industry’s own transparency. How many teams entered. How many matches actually took place versus how many were scheduled. How many violations were prosecuted versus how many were detected. These require nothing more than a person willing to sit down and count — and in Vietnam, so far, nobody has counted systematically.

That is why I am not writing this to conclude that Vietnamese esports is hiding something. I am writing it to make a testable prediction.

Over the next twelve months, if at least one VCS club or one Vietnamese League of Legends organiser does not publish a structured, downloadable, verifiable match dataset, then every tactical analysis of VCS will continue to run on adjectives. I will check that claim myself in February 2027, using the same Excel file I have used since the tenth grade.

I am writing this so you will argue with me, not so you will agree.

If you manage a team and you already have scrim data sitting on a drive, try publishing exactly one metric: your win rate when you take the first outer turret before the 8th minute. Just one metric. Then watch what happens to the quality of writing about your team over the next two weeks.

That is the only way to know whether this industry is short on data, or short on people willing to open the file.