The Empty Report and the Buried Truth of Football Data

Three in the morning in Hamburg, a city still carrying the smell of beer along the streets around the Volksparkstadion. I opened my old laptop, brewed a cup of tea, and waited for the analysis report I had commissioned from a data company in Munich. Twenty pages. Nine analytical dimensions. Neatly ruled tables, columns of figures as straight as the fences around a pitch. I read every line, eager as a child opening a gift box. Then I realised: all twenty pages contained a single word, repeated hundreds of times. N/A. No information. No data. Nothing at all.

The machine had analysed a football match and found nothing. It found no people, no goals, no pain. It found only itself — a string of algorithms running on an empty input, automatically filling every cell with two meaningless letters. And in that moment, between the whistles of the underground rising from the Elbe, I understood something it had taken me fifteen years to name.

That empty report is the most honest report I have ever read about modern football.

When the pitch becomes a data factory

Over the past two decades, football has quietly transformed itself from a game of twenty-two people into a machine producing millions of data points every matchday. A Bundesliga match today generates roughly three million raw data events, from the coordinates of every touch, to players' heart rates through sensor vests, to the angles of twelve motion-tracking cameras. Every club in Germany, from Bayern down to a third-division side in the Ruhr, employs at least one data scientist. Analytics companies such as StatsBomb, Opta and SkillCorner sell their algorithms to leagues and bookmakers alike, to broadcasters and to investment funds.

This industry is organised into what professionals call the "nine analytical dimensions". Tactical and technical analysis. Club finance and the transfer market. Results cycles and public opinion. League landscape and team positioning. Rules and governance compliance. Coaching and the dressing room. The risk profile. Media narrative and expectation. And finally, the transmission chain of the entire football industry, from youth academies upstream to derivative markets downstream.

It sounds grand. But when I looked at that empty report — the one a prestigious firm had been paid to produce — I realised something simple: those nine dimensions can run perfectly on paper and still return zero, if the people behind them forget that behind every cell of data is a human being, breathing.

I have watched football for thirty years, from the stands in Belgrade in 2026 to the press room at the Volksparkstadion in the winter of 2026. I have seen analytical jargon become a new language, a kind of Latin for our age. And I have seen how badly it can be abused.

xG: the new god and its false prayers

Let us begin with the greatest god of data football: xG, or "expected goals". Its logic is simple. Every shot is assigned a probability of scoring, based on millions of similar shots in the past — distance to goal, angle, the body part used, the pressure of defenders, the position of the goalkeeper. A penalty carries an xG of about 0.76. A long-range shot from outside the box carries less than 0.05. Add all those numbers together and you get a team's "expected goals" for a match.

xG is a beautiful invention. It lets us separate process from outcome, to see a team play well and lose, or play badly and win. But that beauty has been turned into a religion, and every religion has its false prayers.

I once witnessed a press conference in Hamburg, where a young coach presented his team's defeat with a colourful xG chart. He said his side deserved three points, that their xG was higher than the opponent's, that the result was an injustice of fate. He was right about the numbers. But in that room sat an old reporter who had been at the Volksparkstadion since before computers existed. He raised his hand and asked a single question: "So do you know why your player missed?"

No one could answer. Because xG does not answer that question. xG measures the quality of a chance, not the dignity of the person standing before it. It does not know that the player had spent a sleepless night with a sick child. It does not know that his contract is about to expire. It does not know that last week he read a comment on social media calling him useless. It knows only that this shot, in the past, went in thirty-two percent of the time.

xG has been so overused that it no longer explains the decisions of a match, a player's form, or the standards of a referee — it explains only itself.

A scoreline is a soulless thing. Behind every goal is a human life, breathing. A shot with an xG of 0.03 finding the net is the moment a person did what every model said was impossible. And that moment is why we sit before a screen at three in the morning, not to read an xG table afterwards.

PPDA: the breath of the hunter and the limits of the body

If xG is about the shot, PPDA is about endurance. PPDA stands for the number of passes an opponent is allowed before each defensive action by your team. The lower the figure, the more ferociously a team presses. A side with a PPDA of 6 means that after every six passes by the opponent, they launch into a tackle. A side with a PPDA of 15 means they sit deep, cede territory, and wait.

Analysts love PPDA because it turns courage into a number. But I — who have stood in the stands watching players collapse after the first half — know that behind that number is a body screaming.

In 2026, while hosting the podcast "Hamburg Nights Awake", I had the chance to talk with a midfielder who had retired because of a knee injury. He told me about a match in which the coach demanded full-pitch pressing for ninety minutes. The post-match report praised the team's PPDA of 5.4 — an extraordinary figure. What the report did not record was that after that match, three players went to the medical room with cramps, and one of them tore a thigh muscle, out for six weeks.

That is the trap of physical data. It measures the pressure a team creates, but not the price the body pays. It does not know that a player returning from an anterior cruciate ligament injury is playing in quiet fear — that every time he accelerates, his knee whispers a warning. In professional circles we call it psychological fear, harder to repair than the body itself. A player can heal a ligament, but healing his trust in his own legs takes a long time that no forecasting model is patient enough to wait for.

A hasty return from an ACL injury is destroying the second phase of many players' careers. I have seen too many young talents pushed back onto the pitch too soon because the data sheet said "movement capacity recovered to ninety-two percent". But ninety-two percent of a model is not one hundred percent of a person. And the remaining percent — the part no one can measure — is exactly where disaster strikes.

Money, rules and numbers that cannot weep

Leaving the pitch, data leads us to the accounts office. There we find names like FFP — UEFA's Financial Fair Play, obliging clubs to balance their books and not spend beyond their revenue. And PSR — the Premier League's Profit and Sustainability Rules, the English version of the same idea, setting the maximum loss a club may carry over three years.

These rules were born with a noble intention: to save football from bankruptcy, from owners burning money like paper, from clubs dying of mad ambition. But when I read a club's financial report, I always ask myself: does that balance sheet know that behind it stands an entire city placing its faith in eleven young men? Does the negative figure on the books know that it means a boy in the academy will no longer be kept on? Does the financial rule know that it has just extinguished the dream of an old man who sold tickets at the stadium gate for forty years?

I remember the collapse of an empire. An empire collapses not when it loses a match, but when no one is left to witness the tears. In my trade, people analyse a club's decline through revenue charts, through net debt figures, through the ratio of wages to revenue. All of it is true. But no chart can draw the image of a fan standing before a closed stadium, holding a scarf from twenty years ago, weeping quietly.

The transfer market: the price of a person

Between the pitch and the accounts office lies the transfer market — where data is used to price human beings. Transfermarkt, the player-valuation website, assigns each player a number called "market value", based on comparable transfers and performance. That number becomes a label, a price tag hung around a player's neck for his entire career.

A twenty-five-year-old valued at sixty million euros walks onto the pitch with a weight on his shoulders. A thirty-three-year-old valued at three million euros feels the chill of oblivion. That number does not know that the young player grew up in a cramped flat with seven siblings, and that every time he plays, he plays for everyone who once said he would never make it. It also does not know that the older player is fighting time, fighting mornings when his knees no longer obey, fighting the fear that one day he will have to say goodbye and no one will remember his name.

In the vocabulary of analytics there is a phrase I hate most: "glass man" — used for injury-prone players who rarely feature. The term is convenient, brief, and cruel. It turns a person in pain into a fragile object, an inefficient asset. It forgets that behind every injury is a lonely morning in the physio room, a phone call to his mother in tears, a question with no answer: "Can I still play football?"

Sharing the same fate as "glass man" is the "FIFA virus" — the phrase for players returning to their clubs tired or injured after international duty. It sounds like an infectious disease. But to me, every player who pulls on a national shirt is a person carrying a whole nation on his shoulders. They fly thousands of kilometres, play two matches in four days, sleep in strange beds, and when they return, people call them carriers of a virus.

Moments that cannot be priced

And then there is the "contract year". Analysts say a player in the final year of his contract tends to have fluctuating form, or suddenly explodes to earn a new deal. They call it a game of brinkmanship between player and club. But I have sat in a press room and heard a player say he does not know where he will be next season, that his wife is pregnant, that his child is about to change schools. For him, that brinkmanship is life itself.

There are also acts forbidden by the rules, grey zones that data never touches. "Tapping-up" — a club secretly approaching another club's player without informing his employers. "TPO" — third-party ownership, where an individual or company holds a share of a player's registration, banned by FIFA yet still alive in the shadows of South American and African football. And the "solidarity mechanism" — by which clubs that trained a player in childhood receive a percentage of his transfer fee.

The solidarity mechanism sounds lovely on paper. But I know a different story. There are small academies back home that raised a player from the age of nine, fed him, housed him, clothed him, taught him to shoot with both feet. When he was sold to Europe for ten million euros, that academy received a small sum, enough to buy a few new balls. That number cannot reflect the value of what they gave away. No algorithm can price an afternoon when an old coach sat by the touchline, patiently showing a child how to place his foot.

I have watched a great many matches in both Europe and Vietnam, and what I learned from those stands is in no data report. In Germany, I saw the "new-manager bounce" — the temporary surge after a new coach takes over, when morale is reignited and results improve over the first few rounds. Analysts measure it in points. But I saw it in the eyes. I saw players running more, tackling harder, not because of a new tactical shape, but because a new man had called their names, had believed in them, had given them a reason to believe in themselves.

Two footballs, two ways of seeing

I was born in Vietnam and work in Germany. The distance between those two football cultures has taught me more about data than any book.

In Germany, football is a complete industry. Every Bundesliga club has its own analytics department, with dozens of staff, expensive software, data contracts worth hundreds of thousands of euros a year. In Vietnam, football is still a story of passion more than of statistics. In the V.League, a club may not have a single dedicated data analyst, yet it has supporters willing to ride motorbikes hundreds of kilometres to follow their team away, sleeping overnight on pavements, singing until hoarse even when their side loses.

The curious thing is that both footballs are moving in the same direction, only at different speeds. Vietnam is learning from the European model, importing analytics software, hiring foreign experts. And I hope that in doing so, we do not lose what Vietnamese football has and German football has sometimes forgotten: the pure emotion of people who come to the stadium only to sing, to weep, to believe.

I once sat in a stand in Vietnam, among tens of thousands, and felt an energy no number can measure. When the whole stadium holds its breath before a corner, when tens of thousands rise together the instant the ball leaves a player's foot, when the roar breaks into something primal — that is when I understood that football, at its deepest, is a ritual. And a ritual cannot be analysed.

The blind spot of an industry

And here is the counter-intuitive thing I want to say to you, reader, who has patiently come this far with me.

An entire industry is pouring billions of dollars into football analytics, building machines that can process millions of data points per minute, and then those very machines, faced with a real match, return an empty report. Technology is not at fault here. That is simply its nature. A machine can only answer the questions people know how to ask. And the most important questions about football — why a player misses in the decisive moment, why a team collapses despite winning, why an old man weeps in the stands when his side is two goals down — are questions no model can answer.

That empty report is a confession more than a failure. It confesses that data, however rich, is only a map. And no one lives in a map. People live in territory. They live in the smell of wet grass, in the anthem "Hamburg meine Perle" carrying all the way to the Elbe, in the trembling hand of a young player walking out for the first time, in the silence of a coach who knows he is about to be sacked.

When they slammed the press-room door shut, I found another door — the door of poetry. I learned that in 2026, when an away coach pushed me out of the press area at the Volksparkstadion and told me to go write about scarves. That night I wrote a poem about an old supporter weeping as his side went two goals down. The magazine 11Freunde reprinted it, and twenty thousand people read it within a week. I did not win the argument about tactics. I won by walking out of that argument and going to find what data leaves behind.

The greatest blind spot of the modern football industry is that data has grown so abundant that people believe everything can be measured, even the things that can only be felt.

Every shot is an unfinished poem

Hamburg nights taught me that football does not need a stadium; it needs only a voice and a heart awake at three in the morning. I hosted "Football Night" for four years, sat behind the microphone of the podcast "Hamburg Nights Awake" and retold each match as a story. I learned that the best match is not the one with the most goals, but the one after whose final whistle people stay seated, unwilling to leave, because something has just touched their hearts.

Every shot is an unfinished poem; every save is an ellipsis that fate deliberately left open. A machine can count the shots, measure the power, calculate the probability of a goal. But the machine cannot finish that poem. Only a human can. Only someone in the stands, someone holding a microphone, someone writing these lines at three in the morning, can finish the part still left dangling.

So I do not throw data away. I still read xG, still track PPDA, still study financial reports and transfers. Data is a precious tool, and this forty-six-year-old woman is not afraid to learn it, to use it, to explain it to those still finding their way. But I refuse to let data become the final judge. I refuse to let a number tell me that a player is useless, that a club is finished, that a dream is not worth chasing.

A message for the future

Football will only grow richer in data. There will be models of astonishing accuracy, algorithms able to predict a match outcome with a probability higher than the best experts. But there will always remain a gap no technology can fill — the gap where a person breathes, where fear and faith collide, where a shot finds the net and changes a family's life forever.

If one day you receive an empty report, do not rush to throw it away. Read it as a reminder. Remember that behind every cell marked "N/A" is an untold story, an unseen person, an unrecorded moment. And remember that our job — we who tell football's stories — is to go and find those stories, where data never dares to tread.

I will spend many more nights awake in Hamburg. I will open many more files, read many more reports, write many more poems. Because I know that somewhere, inside a report full of "N/A", there still lies hidden a goal, a tear, a beating heart. And I will be the one to find it.