Why an Empty Spreadsheet Is More Dangerous Than a Wrong One

I opened the file at two in the morning. Ninety minutes of football had just finished, there was a match to explain, eleven names I knew by the rhythm of their running, a coach who had changed shape in the 63rd minute and I had seen it with my own eyes. In the file, every cell was empty. Not one column of pass completion. Not one row of ball recoveries. Not even the names of the two teams.

In seven years of doing this work, I learned to fear the wrong number. A mis-calculated expected-goals figure, an assist credited to the wrong player, a table listing the wrong matchweek — those are the mistakes that get people fired. But staring at that empty file, I understood the bigger fear sits on the other side. A wrong number denounces itself. It collides with another number, it starts an argument, and arguments force corrections. An empty cell denounces nobody. It waits quietly to be filled, and what fills it is usually what the writer wanted to see in the first place.

That is the central paradox of football analysis today: the most serious risk does not come from bad data. It comes from data that does not exist.

Context — the whole industry is looking the wrong way

Over the past fifteen years, football has built an extra floor of architecture above the pitch. Every match in a major European league generates thousands of data points: distance covered, sprints, passing maps, an expected-goal value for every shot, a pressing metric that counts passes allowed per defensive action. Clubs hire full analytics departments, broadcasters build real-time graphics, and millions of viewers memorise the abbreviation "xG" the way they once memorised a new language.

The industry pours enormous resources into checking whether data is correct. Very little is poured into a simpler question: whether the data arrives at all. I call it the silent gap. When a data feed breaks, it makes no sound. No alarm goes off. There is only a blank space, and in this industry a blank space is always filled with a story.

Three times in my career I ran into that blank space, and all three taught me something different about the same problem.

On 15 July 2026 I was nineteen, awake all night in a dormitory in Barcelona, teaching myself statistics software to take apart the World Cup final between France and Croatia. In June 2026, when La Liga returned after the pandemic in empty stadiums, I was twenty-one, interning at a small sports site, comparing home-win rates across Europe's top five leagues. In December 2026, in Qatar, I was twenty-three and published a piece mocking Morocco, then three weeks later had to write a two-thousand-word correction myself.

Those three moments are not linked by subject. They are linked by method: each time, what fooled me was not a wrong number, but a number I never bothered to look for.

The core — dissecting a blank space

A piece of sports data passes three gates before it reaches a reader. The first is capture: someone has to record the event on the pitch. The second is structuring: the raw event has to be labelled, placed in a column, matched to a player and a team. The third is storytelling: a writer turns the table into an argument.

A mistake at the third gate is loud. It gets challenged in the comments within minutes. A mistake at the first gate is absolutely silent, because when data is never captured, there is nothing to check it against. The whole analytical machine downstream keeps running smoothly, keeps producing tidy tables, except that it is describing a different match.

I picture it as a match with a referee who never blows his whistle. Nobody complains about that referee, because nobody knows what he let go.

Why an empty cell beats a wrong number

The France–Croatia final was the first lesson. Croatia held 61 percent of the ball, took 14 shots, put 5 on target. France took 7 shots, put 5 on target, and scored 4 goals. The final score of 4-2 went to the side that touched the ball for almost two-fifths less of the match.

I wrote immediately that France did not win because they were better, but because they were roughly 1.4 times more efficient. Within twenty-four hours the piece had 2,300 comments. Plenty of people called me an idiot. A few data analysts nodded and dragged me into long arguments about expected goals and the role of luck.

I found the paradox hidden behind a final the whole world thought it had understood. The paradox was not in the scoreline. It was in the thing nobody dared to say: a team with twice the possession can lose by four goals, and that contradicts no law of football.

But the real lesson of that night was not about Croatia. It was about the file I opened at two in the morning. Back then I did not have enough data to do anything except invent a pretty story. Had I chosen that night to write a fluent narrative instead of admitting I was standing in front of a blank space, my piece would not have collected 2,300 comments. It would have collected a few hundred reads, nobody would have argued, and I would have carried a false belief for years without knowing it.

A wrong number creates an enemy. A blank space creates a confident pundit.

Empty stadiums and a dismantled advantage

In June 2026, when European football returned in empty stands, I had an experiment no laboratory would have dared to build: home advantage separated from the crowd.

I compared data from the top five leagues. In 2026-19, the home-win rate was 49 percent. Across the empty-stadium period from 2026 to 2026, it fell to 41 percent. Eight percentage points disappeared along with the noise.

Barcelona were the clearest case. In 2026-21 they lost three home matches at Camp Nou. Across the previous three seasons combined, they had lost exactly two there.

Empty stadiums exposed a truth: home advantage never came from the ground. It came from the stands. From the noise that makes a referee tense, from the travel distance imposed on the away side, from a young defender having to handle the ball in frightening silence instead of inside a song. When the stands were dismantled, a proposition passed down through generations of commentators collapsed within a few months.

I wrote a series arguing that home advantage was a myth, and that smaller clubs should change their approach to away matches entirely. A club in the Spanish fourth tier contacted me for advice on how to press away from home. It ended after a few video calls, but it taught me something more important than any dataset: the advantage does not come from the pitch, it comes from what the stands are hiding.

This is where the blank space appeared a second time. A whole generation of football analysis had used home-and-away data as a constant. They were not wrong because they miscalculated. They were wrong because they had never had data about a world without crowds, so they assumed that world did not exist. That empty cell sat quietly inside every prediction model, and nobody saw it, until a pandemic forced it into view.

Morocco and the price of an omitted number

On 10 December 2026, after the quarter-final between Morocco and Portugal, I wrote that a side holding 23 percent of the ball and daring to dream of the title was living in a delusion, that Portugal had simply been casual, that Morocco's pressing was luck.

Three weeks later I discovered the number I had skipped. Morocco had forced Portugal into 12 turnovers inside Portugal's own half, the highest figure recorded by any team in the tournament at that point. Twelve. Not luck. Design, drilled, executed by players who knew exactly where to stand when an opponent received the ball with his back to his own goal.

Morocco taught me that admitting error is the greatest invention of all. I wrote a two-thousand-word correction, published all the numbers, and called myself an arrogant man short of data. That correction drew 1.2 million views, more than three times the original piece.

What matters is that the original contained not one false figure. The 23 percent was accurate. Portugal underperforming was accurate. The error was that I held half a table and wrote as if I held all of it. The blank space sat in the turnover column, and that column was empty in my article even though it was perfectly available.

A sporting truth is usually buried under a layer of safe commentary. That layer does not lie. It simply does not say enough.

The biggest con: possession

If I had to pick one metric that has produced more false conclusions over twenty years than any other, I would pick possession.

It is the only metric viewers see on screen every fifteen minutes, and the only one that measures nothing at all about quality. A team can hold 60 percent of the ball by passing sideways between two centre-backs for forty minutes. Another team can hold 35 percent and create three times as many clear chances.

Croatia held 61 percent in the 2026 final and lost 2-4. Morocco held 23 percent in a 2026 quarter-final and advanced. Two matches, two decades apart in data terms, one conclusion: owning the ball is not owning the match.

Yet here the blank space appears in a subtler form. The stat sheets hide nothing. They simply place possession first, in bold, next to the score, while turnovers in the opposition third sit on line twenty-five of a different page. The empty cell here is not missing data. It is missing attention, and in this industry those two lead to the same place.

I used possession as a yardstick for years and I do not regret it. I regret not reading on to line twenty-five.

The invisible referee who decides titles

There is another layer of influence the tables rarely record: the rulebook.

Every season, governing bodies rewrite a few clauses. Sometimes it is a new interpretation of offside, sometimes a recalculation of added time, sometimes the number of substitutions permitted, sometimes a financial-fair-play threshold dropping by a few million euros. These changes do not score goals. They decide who is allowed to score them.

I call it the invisible referee, and it holds more power in modern football than anything else on the pitch, because it never needs to blow a whistle to change the outcome of a season. A side built around stretching added time loses its edge the moment the rule changes. A side built with five high-quality substitutes loses its edge when the number of changes returns to three.

The ability to adapt to these shifts is routinely confused with quality. When a team wins the first title after a rule reform, people praise the manager's vision. When that team declines the following season, people talk about the dressing room. Very few mention that the rule changed a second time.

This is the most dangerous kind of blank space, because it does not sit in our data file. It sits inside the rulebook itself. We analyse a team without analysing the legal framework it plays inside.

The five gates

After three stumbles, I set myself a procedure before writing anything.

Gate one: is the source traceable — named, dated, published somewhere? If a figure has no source, it does not exist.

Gate two: do I have at least three discrete, independent facts pointing the same way? Morocco's 23 percent is one point. With no second and third, I am not allowed to publish.

Gate three: is my position stated plainly, and have I named the condition under which I am wrong? Since the Morocco correction I always add a line like: if the next data does not change, this conclusion stands. The condition for being wrong must live inside the article, not inside the comments section.

Gate four: are the entities named properly? Player, club, coach, season. Phrases like "this club" or "that player" are signs of an article avoiding responsibility.

Gate five: will this still be true in twelve months? If not, I must print an expiry date next to it.

These five gates do not make me write better. They make me write less, and the less is the value. An empty cell left unfilled is a gift to the reader, because it tells them there are questions the match did not answer.

The contrarian — where I might be wrong

Now I have to argue against myself, because an article without a condition for error is an advertisement.

First: perhaps I am inflating a technical glitch into a philosophy. An empty file may just be a broken connection, a blocked page, a field placed in the wrong slot of a database. If so, the problem belongs to the engineering room and everything I have written about the nature of the industry is surplus.

Second, and this is the one that bothers me most: perhaps the problem is not the empty cells but the mould I pour everything into. I have exactly five sections, a word count, a fixed order. If I force a match that has nothing worth saying into that mould, I will invent content, exactly the way an empty file gets filled with a story. A person who overfeeds on data and a person who overfeeds on templates share the same weakness.

Third: perhaps I am using public correction as a shield. After the Morocco correction my credibility index rose, and I noticed something uncomfortable: admitting error at the right moment is also a media strategy. I need to be wary of myself, because a writer who waits for chances to be publicly wrong starts to favour conclusions that collapse easily.

Fourth: all three of my examples come from major tournaments, where everything is recorded. There is another football world where data genuinely does not exist — fourth tiers, women's leagues in many countries. There, writing about data is a privilege, and I should say clearly that my five gates apply mostly where there is data to check.

I have no way to verify these four points with numbers. That is why I put them in the middle of the piece rather than at the end as a courtesy.

A takeaway that can be tested

Here is a prediction. Within the next twelve months, at least one major sports outlet will have to publicly correct an analysis built on a model whose input data was empty, joined to the wrong player, or taken from the wrong match. The notable part will not be the correction. The notable part is that for months beforehand no commentator noticed, because the model kept producing numbers that looked perfectly reasonable.

Alongside that, I am setting a personal rule. Viewers need a shock to wake up, not a round of applause. From now on, if I cannot name three independent facts for an argument, I will not publish it. I will say openly that the match did not give me enough to conclude.

That may be a losing choice in traffic terms. A silent piece about a low-profile match will always lose to a controversial one. But this industry is slowly dying from too many opinions and too few empty cells left intact. The only thing I control is what I choose not to write.

And if one day you open a file and find every cell empty, remember this: a blank space is not permission. It is a warning.