When Football Analysis Becomes a Job of Filling in Empty Boxes

On my screen there is a nine-page analysis of a match nobody has watched. All nine categories are present: tactics and technique, club finance and the transfer market, results and the opinion cycle, league landscape and team standing, rules and compliance, coaching and the dressing room, risk profile, media and expectations, and the industry transmission chain. A perfect skeleton. Lines sharp as a knife. And in every single box, the writer has typed exactly one phrase: "insufficient information."

That was the moment I recognized what I had suspected for ten years. The football analysis industry has learned to build the frame before it has any content. We have become so skilled at drawing boxes that we forgot something simple: an empty box is not analysis, and a beautiful frame does not generate a correct judgment on its own.

Context

Ten years ago, when I was still writing on a personal blog in Liverpool, football analysis was the business of people who watched tape at two in the morning. We counted how many times a midfielder touched the ball under pressure, traced the running lines of a full-back, and asked ourselves why a team kept losing the ball in one particular zone. Nobody called it a "system." It was just observation, patience, and sometimes being wrong.

Then everything changed. Data arrived. Heat maps arrived. Expected-goals metrics arrived. Then nine-box, twelve-box, twenty-box analysis frameworks arrived with them. Today, a new writer is taught that to analyze a match, you must first fill in every category: tactics, finance, results, landscape, rules, personnel, risk, media, transmission chain. Fill them all in, neatly, so it looks like a professional report.

And that is where I sense something is off.

The framework itself is not wrong. It is only dangerous because it makes people believe that filling every box means understanding football. In reality, most boxes in any honest analysis must stay empty — because we do not know, because the data does not exist, because the match has not been played. An honest writer will type "insufficient information" into three-quarters of the boxes. Most do not. They invent. They speculate. They turn an empty box into a sentence that sounds profound.

Analysis

Let us talk about what I consider the most deceptive metric of all: possession percentage. A team holds the ball for 62%, completes 650 passes, and loses 0-1. The analysis will read: "the team controlled the game but lacked sharpness." A meaningless sentence. Because holding 62% of the ball through sideways passes in your own half is not controlling the game — it is hesitation packaged as a statistic. I have watched hundreds of matches like this. The ball travels from centre-back to centre-back, to the deep midfielder, and back again. Six hundred passes, and not one of them breaks the opponent's defensive line. The number is beautiful. The match is dead.

This is where the heat map walks in and makes everything worse. The heat map gives you a red-hot zone in the middle of the pitch, and you nod: "this team controls midfield." But a heat map cannot distinguish a gentle pass in the middle of the park under no pressure from a pass that splits two defensive lines. It only counts presence. And presence, in football, is often a sign that nobody dares do anything bold.

I once wrote about Trent Alexander-Arnold in 2026, when he had just made three appearances for Liverpool and the whole city was scolding him for poor defending. I took data from five Premier League games and pointed out that he had created twelve chances — the most on the team among defenders. The piece was mocked. But it was right, not because I was smarter than anyone else, but because I was willing to look at what the standard framework could not measure: a right-back playing as a disguised midfielder. They called Trent an enemy. I saw a man holding the map upside down.

And this is what I want to say to everyone still enchanted by analysis frameworks: football does not operate in boxes. It operates in moments nobody planned. In the seventh minute of France–Argentina at the 2026 World Cup, I was sitting in a pub in Liverpool and everyone around me was talking only about Kylian Mbappé's speed. But my eyes were fixed on N'Golo Kanté — the shortest man on the pitch — and the way he forced Argentina's entire midfield out to the flanks. Kanté touched the ball fifty-eight times and never lost it once under pressure. No box in the standard framework exists for that. No metric measures how one player makes ten others play out of position simply by standing in the right place.

In the seventh minute of France–Argentina, I was no longer a spectator. I was a man reading the sentence the ball was writing.

What about expected goals? It is useful, I admit. But it is abused in the same way. A team with a higher xG than its opponent that still loses is described as "unlucky." But that metric cannot measure a striker who chose to shoot from a worse position out of fear of failing, or a defender who abandoned his position out of fear of being beaten. Emotion, in football, always runs one step ahead of data. And that is why I never trust an analysis made of nothing but numbers. It is like reading the heat map of a match without ever watching that match.

In every situation I analyze, I always look for the quiet hero. Not the scorer, but the one who created the moment that made the goal possible. The standard framework has no box for the quiet hero, because the quiet hero leaves no trace in the statistics — only a trace in the memory of those willing to look.

The framework deceives at an even deeper level: finance. A standard analysis will devote a whole section to broadcasting revenue, commercial revenue, wage bill, net debt. It sounds serious. But if you ask me the real question — why a small club collapses faster than a big one when a shock hits — those four boxes cannot answer it. I learned this in March 2026, when the Premier League was suspended indefinitely and Liverpool — my city's club — were 25 points ahead of Manchester City but could not win the title because of the pandemic. An almost perfect season hung in the air. That was when I understood that football does not die from a lack of goals. It dies from a lack of cash flow, and the small clubs are the first to stop breathing.

Empty stadiums, the noise dead, and something believed dead breeding again.

The same logic applies to esports. There, a player's career is far shorter than a footballer's, while the youth system and post-retirement support are close to nonexistent. But you will find no box for that in the standard esports analysis framework, because the framework was designed to describe a match, not to describe a person being crushed by his own system.

Transfers are the same. The framework will ask: what is the transfer fee, what is the contract structure, is there a panic premium. Fair questions. But a transfer is not about buying a player. It is about buying a story nobody has written yet. When a big club buys a young player from a small league, the framework sees an investment. I see a promise to a boy that someone will believe in him before the whole world does.

That is why I say: leave most of the boxes empty. The framework is only valuable when it forces you to admit what you do not know. It becomes a disaster when it teaches you to pretend you know.

The Contrarian Angle

I must admit this before I finish: I might be wrong. It is possible that my very suspicion of analysis frameworks is just another framework — the framework of the professional skeptic, the man who always believes the crowd is wrong and he is right. And that is the trap I know I am most likely to fall into.

Because the framework was born for a good reason. Before it existed, football analysis was a mess of sentiment: "this team has more fighting spirit," "that player has class." Those sentences could not be verified, could not be compared, and were often just coded prejudice. The framework, however crude, at least forces people to separate tactics from finance, results from opinion. It is a fence against intellectual laziness.

The problem is not the framework. The problem is that we forget the framework is a starting point, not a destination. An analysis that fills all nine boxes can be a good analysis — if the writer knows which box truly matters and which is only for show. What I object to is not the use of a framework, but the use of a framework in place of thought.

And there is one more thing that makes me cautious. When I say the heat map is the new fortune-telling, I am placing myself against an entire industry that makes its living from data. I have nothing against data. I am against data being used to hide the fact that we understand nothing at all. A heat map does not lie. The person reading it is the one who lies.

Closing

So I propose one small thing. Next time you read a football analysis, count how many boxes actually contain a claim you can verify, and how many are just words filling a space. If most of them are words, you are reading a beautiful frame — and a beautiful frame has never scored a goal.

I hated myself when I looked at an empty pitch. Then I understood that football lives somewhere else. It lives in the moment Kanté stood in the right place, in the pass from Trent that nobody could measure, in the seventh minute when Mbappé ran and an entire aging football nation collapsed. No box in any analysis framework can hold those things. And that is exactly why we must keep watching football with our eyes, not with a spreadsheet.

The ball does not roll according to calculation. It rolls according to the fear of being left behind. And every analysis framework on earth is powerless before a player running because he is afraid he will never touch the ball again.