The Line Between Data and Fabrication: What a Tactical Analyst Learned From an Empty Report

In Milan, on an April morning, the laptop showed only a blank space

I brewed a cup of coffee, sat down at my desk, opened my laptop, and waited for a data file I had requested three weeks earlier. Inside were empty cells. No player names. No coordinates. No heat maps. Not a single number to hold onto. Just an empty stadium lying still on the screen, waiting for me to fill it with something.

Nineteen years ago, I started writing about football from a small newsroom. Fifteen years ago, I learned to build pressure maps by hand. I once taped 38 diagrams onto my office wall until they covered the window. I once stayed up all night counting 4,500 wide-attacking situations in Serie A, noting each phase into a notebook as thick as a small bible. My job is to turn empty cells into stories.

But that morning was different. That morning, I faced a question I always avoided: when there is nothing to analyse, what am I entitled to write?

Context: an industry that lives on content, but content needs evidence

Modern football runs on data. Every match in Serie A, the Premier League or La Liga leaves a digital trail: passes, duels, box entries, shape distances, the movement speed of each player. A single match can generate thousands of data points, and a season can generate tens of millions. Big clubs hire entire departments just to read them. Media outlets hire whole teams just to interpret them.

But data does not speak on its own. It sits there, silent, waiting for a reader who knows what he is looking for. A GPS file can hold clues about how a wing-back becomes a striker, but to see that, you must ask the right question. If you only look at a player's average position, you see an ordinary full-back. If you look at where he receives the ball, you see an attacking player in disguise.

That is why the modern analysis industry stands on a knife's edge. On one side, it has more tools than ever. On the other, it faces greater pressure to produce content than ever. Every match needs a story. Every player needs a profile. Every coach needs an explanation. When the data source dries up, the pressure does not disappear. It only redirects: people start writing from memory.

Memory is a poor resource. It is blurry, biased, and rewrites itself over time. A phase you watched last week has been overwritten by the ten matches you watched afterwards. A player who impressed you three years ago may have changed position. But memory does not object. It gives you a tidy narrative, and that is exactly the trap.

I know this trap from the inside.

Core: one wing-back and a three-month lesson

In March 2026, I was 36, and I published a 6,000-word analysis of Atalanta under Gian Piero Gasperini. To write it, I used GPS data from 37 Serie A matches. My conclusion was simple: left wing-back Robin Gosens was not a conventional full-back. He was a hybrid, an attacking midfielder disguised as a defender, someone who constantly invaded the opponent's box.

What I did not say in that piece was that I had spent three months just to see that position correctly. In the first three months, I placed Gosens in my right-side channel — a fixed landmark on the pitch. When the data appeared, everything was off. Gosens did not run down the flank the way I imagined. He drifted inside, appearing in areas that theoretically belonged to the striker. I had to delete all my old diagrams and rebuild from scratch.

The line I still use to remind myself when telling this story: I spent three months realising I had read that position wrong. And the second: the heat map shows position; the intention map shows thought. GPS data did not automatically hand me the truth. It only exposed a contradiction between how I imagined football and how football actually works.

From then on, my method changed. I learned to start with an assumption, then let the data shatter it. I learned to write short sentences. I learned to use spatial metaphors — what is the distance between two centre-backs, how wide is the triangle between three midfielders — so readers could see what I saw. But more importantly, I learned to admit I could be wrong, and that admitting it does not weaken a piece; it strengthens it.

What the data revealed, and what it concealed

When I reviewed 4,500 wide-attacking situations in Serie A from the 2026 to 2026 seasons, I looked for a pattern. At first I believed the flank was a place of speed: the fastest runner, the best dribbler, the one who could beat an opponent within a few metres. I had believed that for years, and I had written it many times.

But when the data was plotted, a different picture appeared. Most dangerous situations did not begin with a sprint. They began with an emptiness — a pocket of space an opposing defender had left behind. The person who created that space was usually not the final receiver. He was the one who ran first, dragged a defender away, and vanished from the frame.

The line I often repeat on such occasions: ask what the system concealed before judging a defender. Because when you see a defender beaten, you are seeing the final result of a sequence that began long before, elsewhere on the pitch, with a different player you did not notice.

That is what I mean when I write: 4,500 situations, and one detail changed my entire reading of the match. That detail is not mystical. It is space. Space does not appear in dribbling stats. Space has no owner. But it decides matches more than any completed dribble.

And then the summer of 2026 arrived, when I turned 40. The Euros began, and I noticed one more thing. Italy's central midfielders — Nicolò Barella and Marco Verratti — generated a high volume of dangerous passes per match through triangular movement. They did not play the way I was used to: one midfielder holding the ball, two waiting. They played with all three moving, constantly swapping positions, leaving opponents with no one to mark. That model did not exist in my old database.

I had to reopen my notebook. I had to redraw. I found myself an apprentice again.

On VAR: when the tool becomes the match editor

Of all the debates about technology in football, none has made me weigh things more than machine-assisted offside.

The official argument is simple: if a player is offside, he is offside. Machines have no emotion, no bias, no oversight. For someone like me — who believes data can expose what the human eye misses — that argument sounds very appealing.

But I have watched enough matches to see the opposite. An offside line drawn to the millimetre does not answer a question about football. It answers a question about geometry. When you stop the game to measure a toe's width, you are no longer protecting fairness. You are redefining football into a game where the slower player who happens to stand in the right place beats the faster one who played legally.

What worries me is that speed will vanish from this sport. A striker's attacking instinct begins with a small movement, a half-step forward to meet the pass. If every half-step can be overturned by a single frame, then within a few seasons players will learn not to move. They will stand still until the ball leaves a teammate's foot. The game will be safer, and sadder.

There is a line I keep telling young colleagues: the tool has no opinion, but the operator does. A referee reviewing slow-motion footage is not merely checking a decision. He is choosing one of many ways to tell a story. And when that choice is dragged toward absolute precision, football loses part of its soul.

I am not calling for VAR to be abolished. I only want it to serve the game, rather than turn the game into its servant.

Contrarian angle: the blind spot of numbers and unencoded emotion

This is where I must be most careful, because I make a living from data. I build systems, I draw maps, I count. But after many years, I learned that numbers do not lie, but they also do not tell the whole story.

In 2026, I was in Moscow for the World Cup semi-final between France and Belgium. I took very careful notes. I measured the distance between France's lines, I tracked how they dropped their block, I analysed how a midfielder tucked inside to block the pass to Kevin De Bruyne. I wrote a rigorous analysis of space and defensive layers.

The piece sank. A colleague wrote only about the tears of a Belgian centre-back after the final whistle, and that piece was shared six times more than mine.

That was a lesson I have not forgotten. Emotion is not data noise; it is data not yet decoded. When a player collapses after a defeat, that is not a romantic detail to tack onto the end. It is information about the pressure of a career, about the cost of representing an entire nation, about what a stats sheet never touches.

Since then, I learned to open with a concrete spatial image — the distance between two centre-backs is only 17 metres — then weave the human story between layers of analysis, as a catalyst to hold the reader. My voice is still dry, still the voice of someone reading numbers. But I no longer pretend football is only geometry.

Ironically, it was the empty cell in that April file that taught me something similar. When data dries up, you realise how dependent you are on it. And you also realise there are things in football a data file can never capture: the rhythm of a match, the fear of a young defender, a stadium holding its breath, a coach who knows he is gambling his entire career on one substitution.

The writer's trap: architecture without a field

There is a temptation I know well, because I was born leaning toward it: building a perfect analytical system on paper. A tidy model, three clean lines, arrows pointing the right way, everything fitting together like an architectural blueprint.

But football does not read blueprints. Players get tired. They get scared. They have bad days. A centre-back misreads one pass, and the whole system collapses in two seconds. The analyst-writer easily falls into building an ideal world, where every player always runs to the right spot and every coach always has a perfect plan. Real football is not like that.

The lesson from the piece that sank in Moscow was a lesson in humility. A beautiful system without the people to run it is meaningless. A model that is right but ignores emotion is not fully right. And an empty data file you dare to admit is empty is more honest than a piece full of words but empty of evidence.

What I did instead of inventing an answer

Back to that April morning in Milan. I looked at the blank space on the screen for a long time. I could have written a very convincing analysis of a match I did not have enough data to understand. I could have used memory, used guesswork, used fluent sentences to hide the emptiness beneath.

I did not. I closed the laptop, walked around the neighbourhood, and thought about where my profession grew from. It grew from observing, noting, counting, drawing, being wrong, and correcting. None of those steps can be skipped. If I jumped straight to a conclusion without passing through observation, I would no longer be an analyst. I would be in the business of interpreting something I do not understand — a far more dangerous trade.

Takeaway: keep the question, do not rush to keep the answer

Before every matchday, there are many things I want to believe that the data has not confirmed. There are many compelling stories that the evidence has not touched. And there are many moments in this trade when people will reward you with a fluent piece if you dare to fabricate.

But football is too complex a system to be decently invented. Every pass, every run, every pocket of space is part of a real answer that someone is hiding. The analyst's job is not to guess the answer quickly. Their job is to ask the right question, and to be brave enough to wait for the data to arrive.

When my next data file arrives — and it will — I will start again with an assumption, then let it be shattered. I will count again, draw again, misread again, correct again. I will look for space instead of looking for the scorer. That is the only way I know to tell the truth about a sport where emotion and numbers live together, and both matter equally.

Next round, when you watch a match, I have a small request. Instead of looking for an answer to the question of who wins, try to keep one unanswered question. It is the unanswered questions that keep this sport from ever growing old.