The Empty Spreadsheet in Incheon: When Football Data Goes Silent

On a March afternoon at Incheon United's training centre, I sat in the third row of the technical meeting room, waiting for the video analysis session to begin. On the large screen, the analytics department's dataset was still open. Fourteen columns. Four hundred and twenty rows. Almost every numeric cell was blank, leaving only a few lines of player names and minutes played.

The analyst, a twenty-four-year-old fresh out of a sports data science programme, scratched his head. The motion-tracking system had failed during the Suwon FC match. The vendor said it would take three more days to restore. Three days. In those three days, the team would play another match. The coaching staff would have to select a line-up without pass-pressure indices, without expected goals, without heat maps, without sprint-speed data.

I looked at that blank sheet longer than I expected. In sixteen years on the job, I had watched Korean football transform from notebooks written in ballpoint pen to data centres renting entire basement floors of office buildings. Yet the moment the system collapsed, the only trustworthy thing left was the memory of people who had been on the pitch. I learned to count a team's rhythm from the sighs in the dressing room, not from the percentage column. And that blank spreadsheet told me more than any filled one ever had.

When an industry measures itself

The K League has come a long way in a decade. In 2026, only two top-flight clubs had full-time analytics staff. By the 2026 season, that number was eleven out of twelve. Each club now runs like a miniature tech company: an analytics unit, a medical unit, a data-scouting unit, a digital media unit. In Incheon, the analytics workspace sits right next to the press room, separated by a glass partition. I often stood outside that glass, watching the blue and red screens flicker, wondering what percentage of a match is truly captured in those little squares.

That is the question the whole sport is avoiding. We built an enormous data architecture, then used it to prove we understand football better than before. But understanding and numbers are two different paths — sometimes parallel, sometimes crossing and then diverging. This regular season is the one in which I have seen it most clearly: when every club has data, data stops being an advantage. It becomes a common language, a kind of lingua franca everyone must speak, even when there is nothing new left to say.

In the three matches before the system crashed, Incheon United conceded seven goals and scored two. Their expected-goals figure was the third-lowest in the league. But reading only that would miss a detail I observed directly from the stands: in the first two games of that run, players arrived into space half a beat later than usual. That is the signature of heavy legs, not of faulty tactics. And no data column records half a beat.

Three layers of silence

The moment the blank dataset appeared, I realised modern football is trapped in three layers of silence.

The first is technical silence. When the system fails, no one can decide on the basis of numbers. The coaching staff must return to video, to naked-eye observation, to personal notes. In Incheon, the assistant coach in charge of defence reopened the last three matches and spent four straight hours just rewinding and replaying set-piece phases. He told me that in those four hours he spotted that Suwon always pushed their full-back high in the fifteenth minute of the second half, after the opponent began shifting to a low block. One detail. No algorithm found it, because it lived in the rhythm, not in the position.

The second is interpretive silence. Even with complete data, most people reading it do not know what to ask. Does a high pass-pressure index mean the team is pressing actively, or that the team has been forced to chase the ball? Both. It depends on the match context, the scoreline, whether the team is leading or trailing. The same number, two opposite stories. In my profession, this is the most common trap: pulling a metric out of context and calling it truth.

The third, and deepest, is human silence. Football is not played only with the feet. It is played with memory, with fear, with the feeling of belonging to a collective. No model measures how a thirty-year-old defender going through a difficult marriage will react to an aerial ball in the eighty-eighth minute. No column records that a young midfielder who just lost his grandfather will run half a step slower in the first half.

I once wrote about Lee Myung-joo, the midfielder who had been the soul of Incheon, in the silent summer of 2026 when stadiums stood empty. After a derby with no crowd, I stayed behind in the dressing room and found him sitting with his head down. We talked for nearly two hours. He spoke of sleepless nights, of how the disappearance of applause had taken away part of who he was. An empty stadium still echoes with the sound of two years earlier, and I still hear it. The piece that followed drew twelve thousand reads, and the club assigned a dedicated psychologist to the team. No data system detected that. Only a human being who stayed behind after the match.

The Incheon case: four hours of video instead of fourteen columns

Let me return to the blank dataset in Incheon. This was a natural experiment I was lucky to observe directly, and it taught me more than any analysis report I have ever read.

Without data, the coaching staff split into two groups. The first, made up of young staff trained in analytics, fell into a state of paralysis for the first twenty-four hours. They felt naked. One of them told me it felt like being blindfolded before an exam whose answers you had memorised but whose question you had forgotten. The second group, made up of former players and long-serving assistants, was eerily calm. They opened video, called counterparts at rival clubs, asked about opponent form, and reached decisions within half a day.

The difference was not intelligence. It was that the second group had another database in their heads: ten years of experience, hundreds of matches, thousands of moments carved into intuition. That memory cannot be exported into a spreadsheet, but it operates. When technology fails, people remain. And that, I believe, is what modern football is gradually forgetting.

In the match played right after the system failed, Incheon United won two-nil. The first goal came from a set-piece phase identified through video. The second came from a young substitute sent on in the seventieth minute, chosen by an assistant coach who remembered the boy had once faced the opposing full-back directly in an under-22 tournament two years earlier. No metric suggested him. Only one person's memory did.

After the match, I stood in the corridor leading to the car park and heard two supporters arguing. One said the team won by returning to its traditional defensive identity. The other said the team won by luck, because every metric remained below average. Both were right in their own way. Football has no single emotional bloc, and any article that treats supporters as one unified body is lying.

The data gap in Vietnamese football

On the other side of East Asia, my homeland is wrestling with a different kind of silence: the silence of absence. Not a system that has failed, but one that never existed. Most V.League clubs lack dedicated analytics staff. Motion-tracking data at some stadiums is still collected manually, by a person in the stands pressing a button on every touch. Accuracy is low enough that many coaches do not bother opening the reports.

Yet the paradox is that this very shortfall forces Vietnamese football to rely on people more. Academies such as Hoang Anh Gia Lai, PVF and Viettel still produce players with a distinctive playing rhythm, and most discoveries about them come from scouts' eyes, not algorithms. That is both a weakness and a form of survival instinct that developed football may have lost.

I remember the 2026 World Cup in Russia. In the final group match, South Korea beat Germany two-nil through goals from Kim Young-gwon and Son Heung-min, yet still went out. Asian newspapers at the time criticised Shin Tae-yong for negative defending. I stood in the middle of Rostov Arena in the rain, called a beer bar in Incheon, and recorded the roar of forty supporters. They did not talk about the scoreline. They talked about the feeling of standing together. The World Cup is where you realise you belong to a place called home, and that does not show up in any statistical column.

Architect of inheritance

In my profession there is a quiet pressure few outsiders see: after a match is written, the echo that remains is always larger than the article. In sixteen years I have covered eight Olympic Games, eight World Cups, and several editions of the Giro d'Italia and the Tour de France. Each event left a layer of memory in me. But what I realised as a beat reporter is that most of what matters most will never make the paper.

In 2026, aged twenty-three, fresh out of a second-division playing career, I joined Incheon United as a young beat reporter. In the match against FC Seoul, I sat in the corner of the ground noting down the names of booked players. Number seventeen, Kim Do-hyuk, twenty-one years old, came on in the seventy-fifth minute and scored the clinching goal in the eighty-ninth. He celebrated by pulling off his shirt, picked up a yellow card, and was reprimanded by the coaching staff in front of the whole squad in the dressing room. The atmosphere that evening was so heavy I could hear the squeak of a boot locker when someone opened it.

Instead of filing the match report, I followed him back to the dormitory and interviewed his mother and his youth coach. The piece, "The Boy Who Dared to Take Off His Shirt", was published and widely shared. He was not the best player in that squad. But he was the most human person in the room that night. The dressing room is never silent; we are simply not still enough to hear it.

The trap of objectivity

Football analytics grew up on a promise: to bring objectivity. But like VAR, it does not eliminate controversy. It merely moves controversy from the pitch into the review room, and from clear rules into the grey zones of law.

I once sat in the VAR room of a K League match. Ten minutes for one phase of play. No one in that room called it truth. They called it "the best available camera angle". That is a more important admission than any press release. The same contact, seen from eight cameras, produces eight different conclusions. And the referee still has to name one.

The same happens with data. When a metric contradicts the eye, we tend to trust the metric. Not because the metric is more correct, but because it appears less subjective. We trade a referee of flesh and blood for an algorithmic one, then argue about which referee is more biased.

Wayne Rooney once said players feel a match through their feet, not through a spreadsheet. At thirty-two, I understand that differently: data is the map, the feet are the road. The map can be wrong, but the road is always there, even when no one has drawn it.

The lottery ticket and broken families

There is one corner of data silence I want to give more space to: scouting networks in developing football nations.

When data becomes the standard, scouts in poorer countries are pulled into a new machine. They no longer find players for a specific club; they find "assets" for an agent network. A fifteen-year-old boy, a vague contract, a family selling land so their child can go abroad for a two-week trial. I have interviewed three such families in the past five years. Two returned in disappointment. One is still abroad, future unclear.

Scouting networks in developing countries both find geniuses and produce football lottery tickets and broken families. This is what I am certain of after sixteen years: any system that sees only potential and not the person behind it is causing harm in silence.

In Korea the story plays out more subtly. Professional academies have clear procedures, training contracts, oversight mechanisms. But even there, a nineteen-year-old cut from a youth team with no other professional skill remains a personal tragedy that no payroll measures. I once stood outside a training centre gate at ten at night, watching a boy cycle back to his dormitory after being told he would not get a professional contract. Football has no cell for that kind of sorrow.

When data becomes a chain

The counter-intuitive view I want to put on the table: the data boom does not liberate football; it forces football to prove itself in a language that is not its own.

Think about the practical consequences. When every club has an analytics department, coaches are no longer judged purely on results. They are judged on the fit between their philosophy and the metrics. A coach who wins four of five but posts a low expected-goals figure can be placed on the danger list. A coach who loses four of five but posts a high expected-goals figure can be handed a contract extension. What happens to a football culture run that way for a decade?

It produces a generation of coaches optimising the process instead of optimising winning. That sounds scientific, but it is really a form of self-defence. No one wants to admit that football contains an unmeasurable part: luck, a moment of explosion from an ordinary individual, a refereeing mistake, a gust of wind in a coastal stadium. Those factors decide a great many matches, and they sit entirely outside the model.

I once sat through a technical meeting where a coach presented twelve charts to the whole squad. Afterwards, a veteran player walked past me and said: "I just needed to know whether their right-back has a sore heel." He was not rejecting data. He simply knew where the decisive information lay in one specific match.

The intermediate truth nobody likes: data is strong at describing the past and preparing the future, but weak at explaining the present. The decisive instant of a match happens faster than any model can process. In that instant, only intuition, memory and human instinct operate.

The distortion accident of the reader

I also want to talk about a group wounded by the data revolution that few notice: readers.

As numbers enter sports journalism in ever greater volume, fans gradually learn to argue with metrics they do not understand. An expected-goals figure gets quoted in an online argument, becomes a weapon, then becomes a dogma. Two people read the same number and neither knows how it was calculated.

I once had to explain to a group of Incheon supporters that the pass-pressure index depends on how the vendor defines "a defensive action". A tackle, a slide, a screening movement, a time standing in the right position without touching the ball. Depending on the vendor, results can differ by thirty per cent. The match does not change. Only the pressure number changes.

When I said that, one supporter told me it meant all metrics were meaningless. I disagreed. Metrics have meaning, but they have meaning within a context, a definition, a method. Outside that context they are just a pretty number. And football is drowning in pretty numbers.

Players and the gap between two columns

On the players' side, the data revolution has left a quiet aftershock. Some young players feel permanently watched. They know every stride is logged, every decision analysed, every match turned into a page of their record. That pressure differs from the pressure of previous generations. It is constant, objective, impossible to argue with.

An under-23 player once told me he feared the days when he had no good metrics. He felt invisible. He had played well, held the ball, created chances, but if his numbers did not jump, he felt he did not exist. This is a new kind of wound that did not exist ten years ago: dependence on validation by a system beyond one's control.

That is why I keep one rule in my work: every time I write about a player, I spend at least fifteen minutes asking questions unrelated to football. What did you eat yesterday. How much did you sleep. Do you miss home. Those questions never make the piece, but they make the piece stand up. Before every exclamation, I force myself to name a verifiable detail. That is the discipline from my early local-radio years, when I learned that sound does not lie, but commentary can.

The echo of two years ago

Whenever I speak of the past, I try to link it to a present event, because otherwise memory is just a harmless and useless comfort food.

The silent summer of 2026 taught me that football does not live only on grass. Four years later, in the current season, with stands full again, I see something else: some players grew used to playing in silence, and the return of crowds is not as comfortable for them as we assume. They need rhythm, and that rhythm is being relearned. We talk a lot about the effect of playing without crowds, but rarely about the effect of playing without crowds for two years and then having crowds return. That double shock is still running through the bodies of a generation of players.

In Incheon, I watched a midfielder who had been a pillar in the summer of 2026. Four years on, he still starts, but now and then he pauses in the middle of the pitch, as if listening to something. I asked him. He said: "Sometimes I still hear the sound of boots from two years ago." That is not a literary line. It is a medical observation that could be measured if anyone sat down and asked.

An empty stadium still echoes with the sound of two years earlier. And data, for all its power, has no column for echo.

The human trace in the report

So what should we do with data? I am not proposing to throw it away. I am proposing to put it in the right place.

Let data do the describing. Let it draw the running map, count pressures, measure distance. Let it find patterns the naked eye misses. But do not let it carry the burden of explaining. Explaining is human work: the coach reading the game, the reporter staying behind after the interval, the supporter standing in the cold stand.

In the Incheon dressing room, every morning, the head coach still writes the line-up by hand on a whiteboard before opening his laptop. He told me it is a ritual. A way of remembering that behind every name on the list is a person having a good or a bad day, with a wife or a mother waiting at home, with a dream that is wavering. No algorithm can write a name on a whiteboard.

My articles, after sixteen years, all begin with a human detail: a sigh, a clenched hand, a glance up at the stands before entering the pitch. Data comes afterwards, as backdrop, as context, as the thing that helps the reader understand why that detail mattered. If I reversed the order, I would betray myself.

The emotional map of an overseas community

I write from Incheon, but I always write about a community living between two places. Far from home, every goal is a thread tying back to the homeland. That is what I witness every time Vietnam play, every time Son Heung-min scores for South Korea, every time a Vietnamese player appears in an Asian fixture.

But that community is not homogeneous. Some see football as a bridge. Some see it as a place to forget a hard day in a factory. Some see it as a chance for their children to have a different future. Some do not care. In every article, I try to include at least two contrasting voices, because I believe a community only understands itself when seen from several sides.

Once, in a Vietnamese restaurant in Ansan, I sat listening to two men argue for the whole first half. One said Vietnamese football needs more money. The other said it needs more time. Both were right. Both were lacking. And between them, on the television screen, a young player had just scored. No one in the restaurant knew his name. But the whole restaurant stood up.

That is the emotional map I want to draw. Not one with precise coordinates, but one with a heartbeat. And I believe that map is worth more than any dataset, because it lasts longer than a season, longer than a contract, longer than the career of the people who wrote it.

What I learned from an empty file

I return to the blank dataset in Incheon. Three days later, the system was restored. The analyst re-ran the algorithm, the columns filled again. The coaching staff met again, this time with complete data. They laughed and said everything was back to normal. But I knew something had changed during those three days, and it was not in the Excel file.

I asked the head coach one question before leaving the press room: "If the system failed in a decisive match, what would you rely on?" He was silent for about ten seconds, then answered: "I would rely on the breathing of the players in the dressing room. That is the only data that never fails."

I wrote the line down. And I realised it was an answer to many questions larger than football.

A signal for those who write next

Future generations of overseas Vietnamese supporters will read what we write today. They will not read to look up scores, because scores are everywhere. They will read to find the rhythm of their own era. They will look for a sentence, an image, a detail that makes them realise someone was there, listened, and wrote it down.

If I leave only spreadsheets, I will have failed them. If I leave only beautiful prose with nothing verifiable, I will also have failed. I must leave both: one specific person, one specific moment, and a number standing behind to support the story.

That is why every piece of mine carries at least three interviews across different social strata, at least one verifiable fact (a record, a transfer fee, a head-to-head history), and at least one silence for the reader to fill. That silence is not laziness. It is part of the work. The crowd disperses, but the roar stays in the eyes of every player, and in the eyes of the writer.

Light at the end of the data tunnel

As this season continues, hundreds more metrics will be updated, thousands more charts drawn, tens of thousands more online arguments about which number is right. More coaches will be sacked on probability, more players undervalued because their numbers did not jump, more talents overlooked because they have no place in the model.

In the middle of all that, I choose to stand where I have stood for sixteen years: at the edge of the pitch, close to the dressing room, with a notebook and a recorder. I will keep reading data, because it helps me understand what I see. But I will not let it speak for me. And I will keep searching for the human heartbeat in places no algorithm bothers to visit.

A transfer is not just a sum of money; it is a farewell with a signature. A defeat is not just three points lost; it is a week of silence in a flat on the outskirts of Incheon. A goal is not just a number on the electronic board; it is a thread stretched between a distant place and home.

Football will keep digitising. But football will never be only numbers. And if one day we forget that, an empty data file will appear at exactly the right moment to remind us, just like that March afternoon in Incheon, when fourteen columns vanished and the only thing left was men sitting together, wondering what they truly knew about the match ahead.

Tomorrow, the team will train again. I will be there. Not because I need more data, but because I need one more sigh to understand where this season is heading.