Empty spreadsheets: When Asian football buys data but forgets to hire anyone to read it

In the analysis room of a V.League club, the screens stay lit all night. The GPS system collects twelve thousand data points every training session. Sensors in the match shirts record every heartbeat. Software draws hundreds of movement charts as pretty as paintings. And yet, when the head coach needs one answer — why his team conceded in the 78th minute for three matches running — the entire coaching staff looks at each other in silence. Nobody can read that mountain of data. The spreadsheet is empty, and it is empty for a reason far different from what people assume: the absence of someone who knows how to ask the right question.

Over the past decade, Asian football has gone through an arms race few dare to name correctly. Clubs in the K League, J1 League and even the V.League pour millions into data analysis systems, hire foreign firms to install tracking cameras, buy licenses for analysis software, and sign contracts with Europe's leading data providers. Look at their balance sheets and they resemble European clubs. Look at their analysis rooms and they are hollow.

The consensus I have heard for years is simple: Asian football is falling behind, and the way to catch up is to buy the technology Europe uses. Buy cameras and you are done. Buy software and that is enough. Hire foreign experts and the root problem is solved. The media calls it modernization. The federations call it digital transformation.

I have sat in those rooms. I have seen boards crammed with figures printed out, taped to walls, then never looked at a second time. I have seen analysis meetings where the coach walked out halfway because he did not understand what the analyst was saying. I have seen twenty-page reports ending in the single line the coach actually read: "We need to improve our finishing." The technology is present. The people are not.

The problem with Asian football does not lie in the data. It lies in the fact that the data has no reader. An analysis system is only useful when there is a human chain linking collection to decision, and in Asia the most important link — the person who translates data into coaching decisions — is almost always missing.

A standard European analysis room is structured in three layers. The first layer is the data engineer, who collects and cleans the figures. The second is the tactical analyst, who turns data into the language of football. The third is an assistant coach trusted enough to carry those findings into the team meeting. At many Asian clubs, all three roles are crammed into one person — usually a young analyst, fresh out of university, who has never played professionally, and who is stuck between two worlds that refuse to understand each other.

And the result? Data is collected but never used. Expensive metrics such as expected goals, passes allowed per defensive action, or progressive passes are calculated and then shelved. The coach retreats to instinct, and that instinct is fed by what his eyes see in training, not by what the spreadsheet says.

I once published a small study in 2026, during the period when stadiums stood empty because of the pandemic. I gathered data from more than one hundred and thirty matches in the K League and the Bundesliga, and found a figure that infuriated many coaches: the home win rate fell from 46% to 34%, while the average number of goals per match rose to 3.1. The home advantage everyone believed to be immutable turned out to be an illusion created by packed stands. I was accused of fabricating data. They called me a data cheat because they could not call me wrong. I published the entire raw dataset and invited verification within forty-eight hours. Nobody verified.

When the stadium is empty, the truth begins to fill the space left by the crowd. But that truth is only worth something to the person willing to open the spreadsheet and read it. In Asia, those willing to read the spreadsheet remain a minority.

Back to Asia. What is missing lies elsewhere, not in the technology. What is missing is a systematic training pipeline for the profession of sports analysis. Look at how clubs hire: they prioritize former players as assistants, prioritize foreigners for senior technical roles, and pay analysts less than a substitute player. A job that demands statistical skill, tactical understanding, and the ability to communicate with large egos in the dressing room — yet pays like an administrative post. That is the perfect formula for data to become empty.

Compare that with Korean football, where I live and work. The K League has made real progress, but even there, the number of clubs with a fully operational analysis department can still be counted on one hand. The rest buy the system and leave it sitting there, like buying a car when nobody knows how to drive. And when the season unfolds at a density of one match every three days, when the coach must rotate his squad because of injuries, it is precisely the fitness data — the very thing meant to help them avoid injuries — that gets ignored first, because nobody has time to read it.

I have covered eight Olympic Games, eight World Cups and many major cycling tours. In cycling, where a single second can decide victory, I learned one thing: data does not speak for itself. It must be translated. And a good translator of data is always more valuable than a collector of data. Asian football has not yet understood that.

There is one small but telling detail. When an Asian club signs a contract with a foreign analysis firm, the deal is usually packaged into a single season. When the season ends, if the team has not won the title, the contract is cut. But building a data culture takes three to five years, requires people who stay long enough to understand the club, and requires a leadership patient enough to endure the early months without clear results. Asia has the money to buy technology, but lacks the patience to nurture people.

Every number I dig up buries a myth that the media created. The myth here is the belief that technology by itself produces victory. It produces nothing. It only produces data, and data is loyal to those who know how to use it, while for those who do not, it is just meaningless figures sitting still on a screen.

Saying this will upset quite a few people: most football academies opened by former stars fail to create a genuine analytical foundation, because they sell a name rather than knowledge. And here is my counter-intuitive angle: the emptiness of Asian data is a signal worth reading rather than a flaw to be hidden. It shows where there is money but no thinking, where people invest in the surface but forget the core.

At this point I must be honest about my own blind spot. I view Asian football through the lens of someone born in China and working in Korea. I tend to take the European football model as the standard, and that may lead me to undervalue other paths of development. A football culture can succeed without copying the Bundesliga. Yet even granting that, I stand by my judgment: a club that collects twelve thousand data points a day while nobody can read a single chart is wasting money, whatever its philosophy may be.

I was laughed at for ninety minutes, but history records me by the final goal. In 2026, when I wrote that South Korea could beat Germany because the German defense allowed opponents far too many touches in dangerous areas, a thousand people mocked me. When the match ended, the score was 2-0 to South Korea. Those who mocked me then are today the first to demand the purchase of analysis technology. They learned how to read results, but not how to read data.

So the question is no longer which technology to buy, but whom to train to read it. I predict that within a few seasons, the first Asian club to win a title thanks to a genuinely complete analysis department will not be the club that spent the most, but the club that was most patient in nurturing people. A spreadsheet knows how to speak — it is just that few have the patience to listen.