Nine Dimensions, One N/A: The Perfect Trap of Esports Analytics

Nine Dimensions, One N/A: The Perfect Trap of Esports Analytics

A Rainy Night in Guangzhou and a File That Says Nothing

It is raining in Guangzhou. August rain here is not as heavy as in Saigon — it is stubborn, it is cold, it taps against the window like someone typing without pause. I sit in front of the screen and open a file with a very grand name: "Stage-2 Deep Professional Analysis — Esports Domain". Nine analytical dimensions. Neat tables. This column, that column, a column for "Assessment", a column for "Affected Parties", a column for "Notes". And in almost every cell, one phrase repeated with near-ritual solemnity: "N/A — insufficient information".

I read it once. It is beautiful. Tight structure, clear logic, every section has a conclusion, every conclusion has an "Evidence" block citing sources, every block is followed by a "Hidden Information" note checking its own reliability. I read it twice. Still beautiful. I read it a third time, and a strange feeling crawls up my spine: this file says nothing at all. It is long, it is organised, it cites, it self-criticises, it rates its own risks, it even proposes a "remediation roadmap" for itself — and it says not one thing.

I laugh. Not a happy laugh. The laugh of a man standing before a marble statue so beautiful it is perfect, only to realise the statue has no face. Perfect. That word I usually use to curse out my colleagues — tonight it turns and bites me. Because what lies in front of me is the most perfect analysis I have read in nineteen years in this trade, and it is a zero.

I reach for the coffee that went cold long ago. Outside, the season is running. The pitch is running. The esports arena is running. People are betting, screaming, crying, cursing referees, fighting over every last minute. And in this room, a nine-dimension analytical machine has returned a blank page framed by grim black headings. I understand that the story most worth writing this week is not a match. It is the void.

The Era of Frames

For the past decade, sports and esports analysis has entered the era of the frame. Once, a good commentator was someone who watched the match, remembered every player's face, remembered every play, and told it back with their own mind. Now, an analyst is considered professional only if they have a model. A matrix. "Dimensions." Without a frame you are dismissed as emotional, as a blowhard, as "football feelings". With a frame, you are science.

I am not against the frame. I am against the frame becoming a hiding place. The model in my hand splits analysis into nine dimensions: patch and meta analysis, tournament format analysis, team and player analysis, regional landscape analysis, club finance and business analysis, rules and governance analysis, risk-profile analysis, public narrative and expectation analysis, and finally industry transmission analysis. Impressive. Nine dimensions, from the most micro — a single player's movement — to the most macro — the lifecycle of an entire game.

But here is the trap. The more detailed a frame is, the more easily it becomes a machine that counts empty cells. The writer does not need to understand the match. The writer only needs to fill in the blanks. If a blank has no data, the writer types "N/A". If every blank has no data, the writer still has a long document, fully compliant, fully sectioned, fully cited, fully self-critical. And that document can be handed to a superior as a finished product. That is the moment the frame betrays the very purpose it was born for.

I have seen this everywhere. In football, data analysts publish ranking tables of metrics nobody understands, then after the match say: "Well, that metric is really just for reference". In esports, people build dashboards as pretty as paintings — win rate by patch, pick-ban rate, average match duration — and then nobody uses them to predict anything. The frame becomes a certificate on the wall. Beautiful, professional, and entirely unrelated to what is happening on stage.

The frightening part is that the frame has a very high capacity for self-defence. It comes with a built-in spell that means it can never be wrong: "N/A — insufficient information". Without enough information, draw no conclusion. It sounds right, sounds scientific, sounds ethically sound. But that spell, used in every cell, turns an analyst into a photocopier. And it turns the reader into an outsider in their own story.

N/A as a Shield

I want to say one thing plainly, and I know it will annoy many colleagues. "Not enough information" and "I refuse to go find information" are two completely different things. People merge them, slap on a solemn label, and call it honesty. Honest about what? Honest about their own desk.

An analysis that says no game has been identified, no patch identified, no tournament identified, no players, no teams — formally, it is correct. If the input is genuinely empty, then any conclusion is fabrication. And in my trade, fabrication is the gravest sin. I do not advocate inventing teams, inventing players, inventing patches to fill pages. That is worse than N/A. That is poisoning.

But here is the point I want to dissect. When an analysis returns all N/A, the right question is not "why is there no data". The right question is "who let it have no data". An empty input does not appear by nature. It is the result of a chain of choices: choosing to write without reading the source, choosing to build a frame without verifying, choosing to hand work to a machine without checking the output. The N/A is not an accident. It is a product. It is the inevitable consequence of an analytical culture that values form over substance, that values looking professional over actually understanding the problem.

And the N/A has a very specific social function: it protects the writer. When you say something concrete and it is wrong, you get attacked. When you say "insufficient information", nobody can attack you. You stand above, safe, in the posture of a person with principles. Meanwhile, the person who actually works stands on the ground, says something that could be wrong, and takes the hit. The difference between these two people is not skill. It is courage.

I remember once a young editor asked me the secret to writing analysis without getting attacked. I said: to avoid attack, write nothing at all. He laughed, thinking I was joking. I was not. A whole industry is falling into this trap: so afraid of being wrong that it chooses to say nothing, then calls it prudence. The crowd fears being wrong, so it picks the strong team; I pick the right team — alone, I know. But the analyst class today no longer picks teams. It picks the empty cell. And the empty cell never loses.

The Zahavi Lesson: The Losing Bettor Tells Stories, the Winning Bettor Tells Numbers

Let me tell a story. Summer 2026, I had just turned twenty-six, working as an editor for a new football platform in Guangzhou. I wrote a piece with a headline that made the whole city want to stone me: "Why Guangzhou R&F must sell Eran Zahavi immediately". The team's number seven had just scored twenty-seven goals in the domestic league. Twenty-seven goals. A number anyone would use to prove he was a treasure to keep at all costs.

My argument was the opposite. I said that a system so dependent on him was masking an extremely fragile defence. I did not say Zahavi was bad. I said his aura was making people forget a different, more painful truth: this team leaked goals like a bottomless barrel. The piece was mocked by hundreds of fans. They called me mad, a traitor, someone who knew nothing about football. At season's end, R&F finished fifth and conceded forty-six goals. Forty-six. The number proved I was right about the defence. The article hit three million views, and my boss handed me my own commentary column.

But what I learned was not that I was right. What I learned was how I was right. The losing bettor tells the story of Zahavi; the winning bettor tells the number. I told the story of a man — a striker carrying a whole team on his back — and only then proved it with a number. And it was that number, forty-six goals, that exposed what the crowd had missed. If I had started with the number, nobody would have read it. If I had only told the story without the number, nobody would have believed it. What makes an analysis is not the frame, but the moment you put your finger on a small detail and say: here, this, it says everything.

What was my small detail that year? It was Zahavi dropping all the way back to the centre circle to receive the ball. It was the midfield being unable to move the ball forward without him. It was the moment Zahavi lost the ball in midfield and the entire back line was exposed like a field with no fences. Those are details no statistics table records. The table records goals. The table does not record the moment a striker must run back to the centre circle because none of his teammates can pass.

And this is why I tell this story in a piece about analytical frames. A nine-dimension machine can return "N/A" for "team and player analysis" if it finds no data on Zahavi. But a person who truly understands football does not need the data. That person only needs to watch how Zahavi drops back. The frame cannot see it. The frame only sees the empty cell, and faithfully writes two letters into it: N/A.

Luzhniki, Kazan, and the German Finger

In June 2026, thanks to that run of provocative pieces, I was sent to Russia to cover the World Cup. On the evening of June 17, at Luzhniki Stadium, I sat in the stands and watched Germany lose to Mexico without scoring. A match the whole world called a shock. I did not find it shocking. I saw something else.

I saw the German midfield passing like typewriters. Precise, steady, soulless. I saw their pressing arrive half a beat late, so late that a Mexican player only had to turn to escape. I saw a team trying to draw a map on the pitch while their opponents simply ran. That night I posted a short status: "Germany will be eliminated in the group stage; no need to wait for the quarter-finals".

The next day, the odds still had Germany advancing. Colleagues called me insane. Someone messaged me privately, with a pitying tone, telling me to go to sleep. On June 27, in Kazan, Germany lost to South Korea by two goals to nil, finishing bottom of Group F with three points. Three points. The same points as a team considered a walkover. My post-match analysis passed 1.8 million readers, and from then on, major sports outlets began hunting me for shock opinions.

The Germans thought they could draw a map; I only needed to look at where they placed their finger on the paper. What I saw at Luzhniki was not a tactical failure. It was a failure of instinct. Germany that year had a beautiful system on paper, a clear philosophy, a perfect analytical frame. And that frame failed to see what anyone in the stands could feel: this team was dying inside its own perfection.

What was the finger I saw? The tempo of the midfield's passing. The distance between the lines when they lost the ball. The look in the players' eyes when they went behind — the look of men who already knew the ending but did not dare say it. Those things are not in any matrix. They are right there, on the pitch, under the floodlights, waiting for someone to sit down and look. The nine-dimension frame will never see them. It only sees data. And when there is no data, it writes N/A.

I trust the hot instinct drawn from small details, not emotional conclusions. After that tournament I always wrote the contrarian view before the majority could agree, building what people call "early dissent". The Germans taught me to read position, Zahavi taught me to read people, the pandemic taught me to read the times. None of those three teachers ever taught me how to fill in a blank.

Harry Kane, the 104th Minute, and My Smashed Ego

In 2026, with three hundred thousand followers, I was invited to be a commentator for the Euro finals. Before the semi-final, I published a piece with a headline that made England want to hang me: "England will beat Denmark if the manager benches Harry Kane". My reasoning was concrete: Kane had only one goal from the group stage and looked as tired as a man carrying a whole nation on his back.

England reached the final, true. But it was Kane himself who scored the decisive goal in the 104th minute against Denmark. Social media mocked me without mercy. They rebuilt my headline, inserted mocking images, turned me into the joke of the week. Engagement exploded. And I stood before a choice anyone in this trade faces at least once: apologise weakly, or turn the mistake into fuel.

I chose the second. The following week I wrote a "lessons learned" piece just as sharp, admitting I had undervalued the organisational worth of a big star. I did not say I was right. I did not grovel about being terribly wrong to win favour. I dissected my own thinking, pointing out where emotion had overridden me, where I had forgotten that football is a sport of things that cannot be measured.

From then on I cut back hard on "drop the star" takes and moved to dissecting the smallest role of each position on the pitch. When I am wrong, I turn the mistake itself into the next topic. This matters, especially in a piece about fear. A whole analyst class is so afraid of being wrong that it hides in the empty cell. I do not hide. I am wrong publicly, I correct publicly, and I turn that wrongness into a new piece. Mistakes are not waste. Mistakes are fuel. An analyst who is never wrong is an analyst who dares say nothing at all.

Seventy-Two Hours and the Gold Mine of Dead Time

In March 2026, the pandemic froze every pitch worse than a ligament injury. My media company cut forty percent of staff, and I lost my job just as my name was rising. That moment, if you have lived it, you understand: it is not like losing a match. It is like the whole tournament being cancelled, and you do not know when it returns.

I did not wait. Within exactly seventy-two hours I built a livestream room at home and launched the series "Top 10 classic counter-attacks of Liverpool 2026-20", opening with a provocation: "This Liverpool deserves comparison with the unbeaten Arsenal of 2026-04". I produced sixty episodes in ninety days, drew one hundred and eighty thousand followers, and signed my first advertising contract while football was still not rolling.

Those seventy-two sleepless hours taught me: the pitch is also a kind of epidemic front line. But they taught me something bigger, and it is what I want to send to that nine-dimension analysis. Without breaking news you can still create a hot take. Without new data you can still produce a valuable analysis. That analysis of mine tonight has all the old data, all the history, all the resources of a machine — and it chose silence. I had nothing, only an empty room and seventy-two hours, and I chose to speak.

The difference is not resources. It is whether you believe the story deserves to be told. A machine never believes anything. It only computes. And when the computation returns zero, it stops. A person does not stop. A person takes that zero, turns it into a question, and turns the question into a piece. Who says football is a sport? It is a stock market with no holidays. And when the market closes, the best trader is still the one who finds a way to trade.

The Economics of Emptiness

Now I want to talk about something few are willing to say: why empty analyses exist and multiply. The answer is economics, not skill.

First, an empty analysis is very hard to fault. A concrete analysis can be proven wrong by a single match. An all-N/A analysis cannot. It is immune to reality, because it never touched reality. In an environment that judges you by how often you are wrong, emptiness is an optimal strategy. It maximises safety and minimises risk. Economically, it is a correct decision.

Second, an empty analysis is very easy to produce. You do not need to watch the match. You do not need to read the news. You do not need to interview anyone. You only need a frame, and the frame generates its own content. Nine dimensions can be auto-filled by a machine, and that machine can run thousands of times a day. Compare that with a person who must sit through a ninety-minute match, note every play, then write an opinion that could get them attacked. On cost, emptiness wins outright.

Third, an empty analysis is very easy to sell. It has all the keywords the buyer wants to hear: "deep", "professional", "framework", "dimension", "audit", "compliance". It looks like a product of a big consultancy. It even has a "remediation roadmap" to prove the writer not only criticises but builds. On the market, it is an attractive item.

And here is the bitter ending. The transfer market is not a chessboard; it is a poker table — people bet with reputation. The analysis market is the same. People bet with flowery words, with enormous frames, with English names that sound grand. And when everyone bets with reputation, the one person still saying something concrete gets treated as an eccentric. That is why I am writing this piece. I want to be that eccentric.

What Real Analysis Looks Like

So what does real analysis look like? I will answer with a concrete example, because I do not believe in generic advice. Generic advice is itself a form of the empty frame.

Imagine you are analysing a top-tier esports match. The frame asks you: which game, which patch, what win rate, what pick-ban rate, which team is stronger. If you lack those numbers, the frame writes N/A. But a real analyst asks different questions. They ask: when this team loses a major objective early, how do they react in the next thirty seconds? Who calls the shot? Where is the captain looking? Is there a silence on comms, and how long does it last?

Those questions are not in any matrix. And that is exactly why they are the key. Because at the top level, individual skill is nearly equalised. What creates the difference is not who shoots better, but who reacts to adversity better in the decisive thirty seconds. Those thirty seconds are not in the stats table. They are only in the eyes of the watcher.

I learned this from football and carried it into esports. In football, when a team goes behind, you can see something in the next ten minutes. If they pass sideways more, that is a sign of panic. If they pass long more, that is a sign of despair. If they keep the same tempo, that is the sign of a team with a system. No metric measures that. Only the eye does.

In esports, the same. When a team loses a team-fight, you can see something in the next thirty seconds. If they dive into a fight immediately, that is rashness. If they retreat entirely, that is fear. If they switch objectives to the other side, that is flexibility. Those three reactions lead to three different outcomes, and no stats table can distinguish them. Only a watcher can.

And here is what I want to stress, the core of this whole piece: data does not create insight. Data only confirms insight. Insight comes from sitting down, looking, and letting a small detail bite into your head. That small detail might be one excess movement. One cold number. One glance. And from that small detail, you project a large argument. Reversing that process — starting from a large argument and hunting for data to back it — is how you become an empty machine.

Where I Might Be Wrong

I must be honest. A man who spends all day cursing the frame can be just as wrong as a nine-dimension machine. And I want to punch myself in the head before anyone else does.

First, the frame is not always a hiding place. Often the frame is scaffolding. A newcomer needs a structure so they do not miss a dimension. An editor needs a checklist so they do not forget to verify a source. I use frames too; I simply do not let them think for me. If I wholly deny the value of structure, I am deceiving myself in a different way.

Second, sometimes silence is honesty. If the input is truly empty, then saying "insufficient information" is the morally correct call. I attack the N/A because it is abused everywhere, but I cannot deny that sometimes it is the only right option. The problem is not the letters N/A. The problem is using it as a default excuse rather than a last resort.

Third, my instinct has been wrong many times. The Harry Kane case is one. And I will certainly be wrong again. If I present instinct as truth, I am doing exactly what I accuse the crowd of: imposing ego on reality. Instinct has value only when it comes with a willingness to be broken.

Fourth, and most importantly, esports is not football. My signature lines about Zahavi, about the pitch, about the Germans — they all come from football. When I carry them into esports, I must translate them back into the concrete language of the game. If I just stand there and metaphorise, I am writing poetry, not analysis. Esports readers do not need poetry. They need truth.

So here is where I might be wrong: perhaps a whole new generation of analysis needs these frames to exist, and what I call "hiding" is really "standardisation". I am not certain I am right. I am only certain that if we keep writing N/A into every cell, we will get an industry governed by people who read reports without understanding matches, and who watch matches without anyone explaining them.

The Promise of the Finger

I believe in the future of the finger, not of the map. In the coming year I will try something: write analysis using only micro-details, without a single metric. If I am right, readers will realise they understand the match far better than when reading a dashboard. If I am wrong, I will write a piece admitting it, and turn that wrongness into fuel, as I always do.

As for that nine-dimension analysis, I will not delete it. I will keep it, print it, and tape it to the wall. It is a mirror. Every time I feel like hiding in a safe frame, I will look at it and remember: a perfect analysis that says nothing is worse than a bad analysis that says something.

The pitch is still running. The arena is still running. If you are the one holding the pen, I have one question: when was the last time you put your finger on a detail and let it bite into your head?