The Sports Writer and the Empty Data Sheet: When 'I Don't Know' Is a Professional Act

A young colleague sent me a six-page tactical analysis of a match. Every page was packed with numbers: expected goals, passes allowed per defensive action, conversion rates, heat maps of each line. The conclusion was tidy and decisive: this team is in structural crisis, the midfield has lost control, the manager is losing the dressing room.

I asked him where the source was. He opened the original file. The data sheet was completely empty. No team name, no player name, no date, not a single metric filled in. The only populated line was a short label: domain — football. The other six pages were his own inference, filling the blanks with imagination and then presenting it as verified analysis.

That night I lay awake thinking. In seventeen years in this trade, I have seen writers get ahead of the data and conclusions get ahead of evidence more than once. But this was the first time I saw an empty data sheet give birth to such a confident report. And the most frightening part: if I had not asked about the source, that report would have been published, shared, cited, and would have become something readers believed to be true.

I tell this story because it is not the private story of one young reporter. It is the story of an entire football world intoxicated by data.

The atmosphere of an industry drunk on numbers

Over the past decade, club meeting rooms have changed faster than outsiders can follow. Beside the head coach, beside the tactical assistant, there is now always someone in a shirt holding a laptop, responsible for data analysis. They do not run on the pitch, they do not smell the grass, they do not hear a player gasping in the eightieth minute. But they have numbers, and those numbers increasingly carry weight in big decisions: who to buy, who to sell, who starts, who stays.

In Shanghai, where I live and work, youth training centres have been equipped with some of the most modern motion-tracking systems in Asia. A single training session for a fifteen-year-old can generate thousands of data points: top speed, distance covered, touches, shot angle, shot power. To a coach, that is treasure. To a reporter, that is a gold mine for articles. But to a fifteen-year-old player, sometimes it is a nameless burden.

I have sat through hundreds of matches in the stands, and I have noticed something: the atmosphere in an analysis meeting resembles the atmosphere in a classroom where the teacher looks only at the grade sheet. The student with high marks is praised, the one with low marks is doubted. But nobody asks how many hours he slept last night, what is happening at home, whether his knee still hurts.

That is why I always choose to arrive at training very early. I want to see how a player walks onto the pitch, what his face looks like, whether he smiles at the kit staff. None of that appears in any data sheet. Yet it is precisely those unmeasurable things that often decide what happens in the ninetieth minute.

When data is empty, people invent conclusions

Back to the story of my young colleague. What made me think most was not that he fabricated a conclusion, but that he did not see himself as fabricating. To him, that analysis was entirely reasonable. He filled the gaps with familiar patterns: a team loses because the midfield is weak, the midfield is weak because the manager has lost control, and a manager who has lost control is about to be sacked. A chain of logic that sounds very smooth.

The problem is this: a smooth chain of logic does not equal a correct chain of logic. Humans have a storytelling instinct. When information is missing, the brain automatically fills in with familiar narratives. And in football, the familiar narratives are usually very appealing: winners are brave, losers are divided, a rising young star is a natural talent, a declining veteran has lost motivation.

I once followed a high-profile transfer saga. The whole media world reported it, each outlet with a different conclusion: one said money, one said conflict with the coaching staff, one said the lure of a bigger league. Not one of them had a source from the people actually involved. I was fortunate that the player's wife trusted me and told me the real reason: their six-year-old son needed foot surgery, and the new city had a better specialist hospital. I kept that information private for nine days, publishing not a single word.

When the deal collapsed at the last minute, I wrote the story from the perspective of a disappointed family, instead of the perspective of a financial scandal. The piece was widely shared, and the club itself invited me to advise on communications for later transfers. I retell this to make one point: if I had had no information at the time, I would not have written it. Staying silent, in that case, was the most honest way to write.

That is also the principle I learned from a very strange document I read recently, about how to handle an empty data sheet. The principle is called null handling: when the source contains no information, the only correct answer is to admit there is no information. People call it data integrity. It sounds dry, but its essence is very close to the ethics of writing: if you do not know, say that you do not know.

An empty data sheet is not a blank page for us to write whatever we like on. It is a reminder that there are boundaries imagination is not allowed to cross.

The crisis trap built from misplaced metrics

Let us go a little deeper into the craft. In modern football analysis, a few metrics are mentioned so often they almost become dogma: expected goals, passes allowed per defensive action, possession rate, chances created. These metrics have real value, but only when read in the right place and on the right sample.

I see a very common mistake: taking one match's metric and generalising it into a conclusion about an entire season. A team loses with a higher expected-goals figure than its opponent, and immediately there is a conclusion: this team is unlucky, they will bounce back soon. But if the sample is a single match, that number says nothing about the future. A good analyst knows a metric only means something when placed against a baseline, a trend, a sample large enough to remove randomness.

Once I sat beside a data analyst in a press room. He drew a conclusion about a young player from two matches. I asked: what can a two-match sample say about an eighteen-year-old? He was quiet for a moment, then admitted: actually, nothing at all. And I thought the moment he admitted that was the most professional moment of the meeting.

What is interesting is that for the same phenomenon, people inside the pitch and people outside the screen usually see two different things. Those outside the screen see numbers. Those inside see the eyes of teammates, the rhythm of breathing, the hesitation before a pass. The rhythm of a match is not in the scoreline, but in the silence between two passes. And that silence has never appeared in any statistical table.

I also remember an evening in the training-ground canteen. A young player sat eating alone, his phone lighting up continuously with critical comments after a defeat. He said nothing, just pushed his tray away. No metric recorded that moment, but I know it would affect next week's match more than any tactical report. In analytical circles there is a concept worth pondering: the hype-to-kill cycle. A young player is over-praised by the media for a few weeks, and then when he has a few poor games, the very people who praised him turn to harsh criticism. Both phases rest on the same thin information.

Dinner with a fan page and the lesson of what cannot be measured

I have a strange habit: whenever I write about a player, I often visit his fan page before I visit the data book. Not to take numbers, but to read what the fans write to each other. Dinner with a fan page taught me that even a star knows hunger, and knows loneliness in front of a keyboard.

In 2026, when I was twenty-four and had just joined a sports desk, I was assigned to cover a team. During a closed training session, I watched a young striker miss the target again and again. Eleven times in a row. If you looked only at that number, you would immediately write a critical piece: form has dropped, finishing has a problem, he should be benched. But that night, instead of writing criticism, I went to the club's official fan page and posted a short status: who has ever thrown a boot after a training session like that? He needs us.

The post received many likes and hundreds of supportive comments. The next morning, he scored a hat-trick in a friendly. I do not dare take credit for that, but I learned something: sometimes what a young player needs is not a correct analysis, but a belief that needs no analysis.

I remember a season without spectators. The stadium was empty, players scored but there was no cheering. I proposed to my desk that we launch a small campaign: connect fans' cheers from home into the stadium speakers. In one match, more than four hundred fans turned on their video calls and blended their voices into a space that held only echoes. The team won with a stoppage-time goal. In my piece, I recorded the moment a striker looked up at the empty stand and cried when he heard a child singing a chant through a large loudspeaker. The match had no spectators, but I still heard applause from the small screens.

From that season on, every article of mine has had a small section I call stadium noise: noting the drums, the off-beat songs, the laughter of a group of supporters. Because I realised that the communal atmosphere decides the quality of a match more than any formation drawn on paper.

A contrarian view: more data sometimes means less truth

There is a very common misunderstanding I want to state plainly. Many people believe that more data means getting closer to the truth. I think the opposite is sometimes truer: more data without discipline makes it easier to produce false claims that sound very reasonable. Because data does not speak for itself. It is read. And whoever reads it always brings their own bias.

I call it the trap of false confidence. When there is a screen full of numbers in front of you, it is easy to forget that those numbers are only a very small part of the story. A player may run less than his teammates yet be the one who keeps the rhythm for the whole side. A team may have less possession yet more confidence. Sadly, such things do not show up on a chart.

The same holds for contracts. When a club spends a large sum on a player, people immediately price him by the number. But a transfer, in the end, is a story of ambition, fear and hope. Between the transfer figures, I find the heartbeat of a heart. Behind a huge fee there may be a family worrying about their child's future, a player racing against the length of his career, a wife weighing a school transfer. None of that sits on a balance sheet, yet it decides a great deal about how that player will perform.

I often wonder why we so easily believe conclusions presented so neatly. Perhaps because certainty offers a sense of safety. The sentence "this team is in crisis" is easier to accept than "I do not have enough information to conclude." But that very sense of safety is the most dangerous thing in my trade, because it makes the writer stop asking questions.

The discipline of silence

So what should a sports writer do in a world full of data but short on information? I think the answer lies in a skill few people teach: the skill of staying silent at the right moment.

Silence does not mean writing nothing. Silence means that when the source is empty, we do not fill it with speculation. Silence means that when a number is not large enough to conclude, we say it is not large enough. Silence means that when we have no source from inside the dressing room, we state clearly that we are standing outside.

In my trade there is a great temptation: to issue a conclusion in order to be noticed. A decisive conclusion is always easier to share than the sentence "I do not have enough information." But I have learned that a sports writer's credibility does not rest on the number of times he guesses right, but on the number of times he dares to admit he does not know. That is a kind of asset that cannot be bought with page views.

I remember an interpreter at a major tournament who took me to a beer bar after I misread a player's name on live broadcast. I thought I would be scolded. But the group of supporters there only showed me old photos of themselves with the national team, taken years earlier. They said: we keep going for the team, and you do too. The next morning I wrote a piece about three mistakes and one moment of understanding. Since then, whenever I write about a player, I call at least three different sources to check how his name is written. Such a small detail, yet it reminds me that every word I write can affect a real person.

There are apologies that need no tolerance, only a stand tolerant enough.

And there are also mistakes that need no forgiveness, only one moment when we stop and say: this time I will not write, because I do not know.

Internal signals to watch

So in the coming season, what is the sign worth watching? For me, it is not a new metric, nor a more modern analysis system. The sign worth watching lies in how clubs and newsrooms handle gaps in information.

Notice how, when a transfer stalls, the newspapers react. Do they state clearly that the sourcing is still thin, or do they hastily attach a reason that sounds very plausible? Notice how, when a young player shines for a few games, the media holds back, or immediately crowns him the star of the future. Notice how, when a manager comes under criticism, people base it on results or on a story built from a few scattered numbers.

For me, the simplest way to watch is still to go to the pitch. I want to stand where I can hear the gasping, see the running gait, feel the atmosphere. The data I record sits in no system. It sits in the small notebook I always carry, where I write short lines, for instance: today the captain arrived twenty minutes early and sat alone on the bench; the young striker smiled when the coach called his name; a kit staff member quietly picked up a shirt thrown onto the pitch.

I keep the rhythm for those running on the pitch — that is how I belong to the match.

If an empty data sheet can teach an entire football world a lesson about honesty, then perhaps we should be grateful for those gaps. Because it is precisely the gaps where people are forced to choose: either to paint over them with false confidence, or to humbly admit they do not know. I choose the second. And I believe those who write about sport that way, even if a beat slower, will travel a longer road.

The next beat of the match, I leave to those still running.