When sports analysis is empty: A wake-up call for data-driven journalism

When I opened the F1 analysis document that had just been sent to me, the first thing that caught my eye was not the headline, but a line of capital letters at the end of each section: N/A - NOT ENOUGH INFORMATION. Repeated nine times across nine different sections. A document dense with tables, comparison columns, risk assessment frameworks, but not a single real-world number. No driver, no team, no transfer contract, no pit stop window, no tyre data. To an ordinary reader, this might look like a technical error. To me, this is the most honest portrait of a disease quietly developing in the sports media world: using analytical frameworks to hide the fact that there is nothing to say. I write from London, where dozens of football matches and race weekends take place every week. I have watched sports newsrooms turn into content production lines. The pressure to publish every day forces editors to find ways to fill digital space. When there is no big-enough event, they use side stories. When there is no reliable data point, they create summary tables. Not always intentionally deceptive. Often they are trapped by the false comfort of templates. Look at the analysis document I mentioned. It has the full structure of an in-depth analysis: technical evaluation, race strategy, team situation, regulatory system, driver market, risk scenarios, public discourse, and F1 ecosystem. A hurried reader might think the author has done a great deal of work. But reading closely, every line says the same thing: we do not know. The absurd part is that such a document can still be published. It is still framed with big headings and blue-and-red coloured tables. Only one thing is missing: real information. In football, I call this phenomenon possession obsession. A team that controls the ball 65% but has only two shots on target is often described by the media as 'controlling the game'. That is a misleading view. Possession does not account for harmless passes, nor for the opponent's willingness to sit deep and counter-attack. If you only look at possession, you will never understand why a defensive team still wins. F1 has a similar problem. People are easily hypnotised by composite tables, yet forget to ask: where do these numbers come from? Under what conditions were they measured? Compared to whom? When context is missing, numbers become tools for creating illusion. I once thought having data was enough. In 2026, I sat in the stands at Stade Louis II and recorded every movement of a young number 29 player on the Monaco side. He did not score in that match, but I wrote a long analysis of the way he moved into the space behind Manchester City's defence. My friends laughed at that post. They said I was overthinking one young player. Four years later, the same kind of movement took him to a World Cup title. I tell this story not to brag, but to remind myself of one principle: carefully observing one detail is worth more than superficially listing a hundred numbers. The empty F1 document could have been thrown straight into the bin. But its existence raises a much larger issue. As audiences become used to fast reading, they no longer have the time to inspect every table. They see nine sections and think they get nine layers of depth. They see charts and think they get analysis. This is the blind spot of modern sports journalism. It is not the shortage of content, but the shortage of ability to detect empty content. I also ask myself whether I am being too strict. Perhaps the honesty of writing 'not enough information' is a positive signal. In an age when transfer rumours are embroidered into official news, a document that acknowledges its limitations may be a form of decency. If that is the intention, this document should not be criticised. It deserves to be a test for newsrooms: do you have the courage to publish a piece saying 'we do not have enough data' instead of fabricating data? The real problem lies in how we define a good sports article. A good article is not the one with the most subheadings, nor the one with the most tables. A good article is one that helps readers understand something they did not understand before. If there is no new information, respecting the reader means saying so directly. Trying to invent an analytical framework only makes the emptiness harder to detect, and therefore more dangerous. Readers are not just fooled by wrong numbers, they are also fooled by numbers that mean nothing. There is a phrase I always use when facing a statistics table: virtual money, real emotion. In football as in F1, fans do not read data for entertainment. They read to understand. They want to know why their team lost, why their team won, why a driver had a terrible race. If an article is full of 'not enough information', it helps no one. But if that article is published as a finished product, it teaches the public a bad habit: accepting beautiful but hollow things. In my profession, silence is often treated as failure. Editors hate empty spaces on the page. But there is a kind of active silence where the writer says: I do not have enough grounds to make a claim. That silence is much harder than writing a two-thousand-word analysis with all the N/A items. It requires the writer to be brave enough not to be swept away by the rhythm of content production. It requires honesty about limitations. And it requires putting the reader's interest above the comfort of the newsroom. I still remember joining a sports magazine and being told by an editor: If you have nothing new to say, do not send the draft. I was young then, and I thought that sentence was too harsh. Everyone has something to say. But the longer I work, the more I understand that this sentence is not about lacking topics. It is about respecting the reader. A piece with no new information, no new perspective, no reliable data, no matter how smooth the language, is just another kind of noise. In a world full of noise, selection is the real value. When I looked back at that F1 analysis, I did not want to mock it. I wanted to turn it into a reminder for myself and for everyone producing sports content. Before publishing anything, ask yourself: what am I really informing people about? The answer might be a name, a number, a verifiable story. If the answer is only 'I am trying to fill a space', stop. Emptiness is not terrifying. What is terrifying is turning emptiness into something that looks like knowledge. Football taught me never to judge a match by the score. F1 taught me never to judge a team by the midfield practice classification. Above all, journalism taught me that data only has value when it comes from an honest process. A wrong number can do more damage than an empty cell. An empty analytical piece, once discovered, will erode readers' trust for a long time. And in a market where trust is the most valuable asset, nothing is riskier than a piece built from lifeless templates. I will not say sports media is a battlefield of junk content. I still believe there are many writers, reporters, and editors doing hard work daily with high standards. But the existence of N/A documents shows that even hard-working people can fall into the trap of form. No one wants to look ignorant, so they fill pages with bolded jargon. They create something resembling analysis while it is actually just a skeleton with no flesh. For readers, that is worse than having no article at all. If I had to distil a philosophy from that empty document, it would be this: never turn a lack of information into a screen. When you do not know, say you do not know. When you have data, share the data. When you have a controversial thesis, present evidence to defend it. If you cannot, your article should not be published, in any language. That is the lesson I carry from years of watching football, F1, and the people working beside me. The track may be long, the match may be dramatic, but nothing is more worth watching than a writer who dares to stand before the truth.