The Empty Spreadsheet: How Esports Analysis Keeps Lying to Itself

On the night of November 2, 2026, I sat in a rented apartment in Guangzhou with my monitor split in two. On the left was the League of Legends World Championship final between T1 and Bilibili Gaming, the Chinese commentary blaring from the speakers. On the right was a spreadsheet with forty-two columns. When the fifth game closed and T1 won 3-2, when Faker lifted his fifth world title, I did not stand and cheer as the people in my group chat did. I turned to the spreadsheet and counted. Eighteen columns were completely empty. Not empty because I was lazy. Empty because the thing I needed to measure is simply not measured by anyone, not published by anyone, and not wanted to be published by anyone.

That moment taught me something fifteen years in the trade never did: most of what we call esports analysis is a pretty frame built to hide the fact that it is hollow inside. The losing bettor tells you about Zahavi, the winning bettor tells you about the number. But when the number itself does not exist, both sides are selling you a belief packaged as evidence.

The Chinese esports industry in particular, and the global one in general, has entered a phase where everything seems quantified. Open any analytics page and you see lane stats, resources per minute, win rates by phase, movement heat maps. It looks like a laboratory. But when I tried to fill my spreadsheet with those very metrics, I found a paradox: the more metrics, the bigger the gaps.

The reason lies in the ownership structure of data. In football you have Opta, you have StatsBomb, you have dozens of independent providers selling data to anyone who pays, and leagues are forced toward transparency because there are regulators, broadcast contracts, and investigative press. In esports, the game publisher is referee, landlord, and ticket seller all at once. Riot Games owns League of Legends, owns the tournament system, and owns the right to publish data. What they publish is their call. What they withhold is also their call.

The Germans thought they could draw the map; I only need to see where they put their finger on the paper. In esports, that finger is usually hidden behind a confidentiality agreement.

Here is the necessary context: the 2026 season saw the LPL spend the most in its history yet still let the LCK dominate the major international events. T1 won Worlds, Gen.G and Hanwha Life Esports dominated domestic competition. In China, JD Gaming and Bilibili Gaming invested in among the most expensive rosters. But when I tried to prove with numbers that money does not buy trophies, I hit a wall: LPL team salary budgets are not fully disclosed. All the press has are leaked figures, insider rumors, and contracts that are never confirmed.

That is why I am writing this piece. Not to mock the trade. But to point out that we are building a ten-story tower on sand, then arguing over which floor is prettier.

The core: nine empty columns and their price

In my profession, people love to hand each other nine-part, twelve-part analytical frameworks that look very scientific: patch and meta, tournament format, rosters and players, regional landscape, club finance, rules and governance, risk profile, public narrative, industry transmission. It sounds like a research institute. But when you actually sit down to fill each box, you realize most of them lead to a single sentence: insufficient information to assess.

I will go through each, and I will show you where the gold is real and where it is fool's gold.

Patch and the thing called meta

Whenever an update lands, the whole community rushes to debate who benefits and who suffers. But the data they argue with is solo-queue data, where ordinary players face ordinary players. That is entirely different from the professional stage, where ten people of similar skill are decided by collective coordination. Riot publishes champion win rates in solo queue, but almost never publishes pick-ban rates and win rates at the professional level by game phase. Without that number, every meta analysis is just speculation dressed up in terminology.

I once sat up all night after a semifinal trying to prove a team won because the patch favored a top-lane style. I had three hours of notes and not one number strong enough. The next morning a colleague asked where I got my data. I said nothing. Fool's gold.

Tournament format and the hidden luck

Format decides the champion more than people think. A Swiss stage plus single elimination creates brackets where a strong team can fall into a group of death purely by draw. But nobody publishes the probability of landing in each bracket based on draw outcomes, nor the historical win rate of each team in each specific bracket. We talk about team strength while forgetting that the draw is an uncontrolled random variable in every predictive model.

I once predicted a team would exit early because of their bracket. I was right. But when asked for a data basis, I could only answer with intuition from watching seventeen of their games. Intuition is not evidence. It is only evidence when you call it by its proper name.

Rosters: Faker's value and the KDA that cannot measure it

This is where it hurts most. KDA, creep score, gold per minute, all measurable. But what makes a Faker, a man who calls the shots at minute thirty, a man who stays calm when the whole team is shaking, has no metric. I call it the organizational value of a superstar. It lives in positioning, in the rhythm of a pass, in what someone says into the headset when the game is collapsing.

In 2026 I wrote that a national team should bench its superstar. I thought I was clever for reading his fatigue through a low goal count. But he scored the decisive goal. I had underestimated a value that does not sit inside a number. Since then I learned to dissect the smallest role of each position instead of shouting to drop the star.

In esports this is even crueler. A support player can win the whole game while his stats look the worst on the board. No column in my spreadsheet records the moment he shields a teammate with his own death.

Regional landscape: the LPL and LCK story

People love big narratives: the LCK era, the LPL era, the rise of this region, the decline of that one. But regional boundaries in esports are very blurry. Korean players compete in China, Chinese players compete in North America, teams buy talent everywhere. So when we say which region is stronger, what are we talking about? The nationality of players, where the team is based, or where the tournament is held?

Nobody defines it clearly. And because nobody defines it clearly, every regional comparison can be bent to the writer's will. This is a gold mine for those who want to provoke. But it is a fake one, because after mining it you hold nothing but views.

Where the money comes from: the blurred payroll

The transfer market is not a chessboard, it is a poker table — people bet with reputation. But unlike poker, here nobody shows their cards. When a star changes teams for what is reported to be a record salary, that figure usually comes from an anonymous source, spreads, then becomes default truth in every debate. Unverifiable. Uncontestable. You can believe it or not.

This creates a distorted market. Rich teams are suspected of overspending. Poor teams are suspected of buying cheap. Players are priced by rumor. And the fans, the ones who buy jerseys, are loving a roster whose true cost they do not know.

Rules and the betting gray zone

Here I must be careful, because the gray zone is the most dangerous place in the industry. The publisher controls the tournament and competitive integrity, but does not control the betting money flowing around it. Teams sign deals with betting sponsors in some regions, then face bans in others. There is no independent regulator standing above the publisher. That means when a dispute over fairness arises, nobody knows where to file a complaint.

I have no evidence of match-fixing. But I have enough evidence that the system has no mechanism to prove its own cleanliness. And a system that cannot prove its cleanliness has already lost half the battle.

Risk: rosters melting in silence

An esports team can lose three players in one transfer window without the public being told why. Contracts for underage players are complex, depend on parental consent, and are often bound by clauses nobody checks. Here the youth-development story I always care about becomes clearest: scouting networks both find geniuses and create football lottery tickets and broken families. A sixteen-year-old signing his first contract does not know what he is signing. I have seen it many times, and each time I feel more helpless.

Public narrative: hype and the expectation gap

Who said football is a sport? It is a stock market with no weekends. With esports that is doubly true, because the news runs three hundred sixty-five days a year. One win creates a story. That story pushes expectations up. Those expectations make the next game a potential disaster. The winner is expected to keep winning. The loser is expected to collapse. There is no break to cool down.

I saw this most clearly following a team considered a title contender. The media built them into invincibles after a beautiful streak. Then one loss, and the same people, the same tactics, were called finished. The truth lies in the middle, but the middle does not sell advertising.

Industry transmission: from publisher to viewer

The transmission chain is simple on paper: game publishers upstream, clubs and streaming platforms midstream, sponsorship and derivative markets downstream. But in reality, every link depends solely on one decision by the publisher. If Riot changes the format, the whole ecosystem shifts. If a patch breaks, team revenue changes. This concentration of power leaves the entire industry unable to withstand the decision of one company.

I once spoke of seventy-two hours. Those 72 hours of hunger and sleeplessness taught me: the pitch is also a kind of epidemic defense line. When the pandemic froze every traditional sports event, I built a livestream room in my apartment and produced sixty episodes in ninety days. I could do it because I am a flexible individual. But a twenty-person esports team with sponsorship contracts and an academy cannot pivot in seventy-two hours. The bigger the system, the more brittle.

The contrarian part: where I could be wrong

Now comes the part where I have to challenge myself, because if I do not, I am just a screamer online.

First, I might be unfairly applying football standards to esports. Football has a hundred years of history, a world federation, a transfer system that grew transparent over time. Esports is twenty years old since its global boom. Demanding that a twenty-year-old have the data apparatus of a hundred-year-old is unfair. Maybe I am scolding an industry for not having had enough time to mature, not for deliberately being murky.

Second, the lack of transparency sometimes has legitimate reasons. Publishers withhold data to fight cheating, protect players, and avoid exploitation by those who would manipulate betting markets. Real gold in data secrecy may exist. Me saying there is insufficient information means insufficient information, not that there is a conspiracy.

Third, I have an incentive. A content creator like me benefits from ambiguity. If everything were transparent, my job would be harder, because I would face facts that do not let me provoke. The crowd fears being wrong so it picks the strong team; I pick the right team — only I know. But when there is no data, picking the right team becomes a gamble rouged with style. I must admit: my shock-credibility is partly built on the very opacity I am criticizing. That is where I am most likely wrong, and also where I least want to look.

The Germans taught me to read positions, Zahavi taught me to read people, the pandemic taught me to read the times. But the emptiness of a spreadsheet taught me to read my own profession: a trade where people sometimes pretend to see a finger on the map while the paper is still blank.

What I carry with me

If you follow esports and consume analytical content every day, I want you to keep one habit: after every claim, ask yourself where the number is, where it came from, and what interest that source has. Not to doubt everything. But to tell apart the one selling you data from the one selling you certainty.

My trade will only mature along two paths. Either an independent data provider emerges in esports, as Opta did for football, turning metrics into verifiable commodities. Or tournaments are forced to publish professional-level data, not just solo-queue data for mass consumption.

If neither happens in the next three years, then every esports analysis you read, including this one, will still be a beautiful building on sand. And when the sand is washed away, the one who drowns is not the writer. It is the reader, who placed faith in an empty frame, and whom nobody told that eighteen of forty-two boxes never had anything inside them.

The question I leave you tonight, when you watch the next game: if every claim on air is allowed to be wrong with no accountability, then who is the best in this profession — the analyst who is right, or the one who shouts the loudest?