Empty Spreadsheets: A Lesson in Honesty for Vietnam's Sports Management

In late March 2026, a sports data partner in South Korea sent me a periodic analysis report on the Asian golf market. The file was 14 pages long, bearing a copyright seal, a logo, and a complete digital signature. But as I scrolled through every page, the entirety of the analytical content displayed exactly one repeated string of characters: "N/A - insufficient information."

No player names. No numbers. No events. No citations.

An ordinary person might call this a technical glitch. But someone who has spent more than a decade working with sports data sees a deeper problem: the partner's pipeline had been programmed to prioritize silence over honesty. Instead of raising a "missing data" alert, it quietly produced a "complete" report whose content was entirely empty.

That blank report became a perfect metaphor for Vietnam's sports industry in 2026: a modern technological shell, a sophisticated reporting process, logos and digital signatures - but inside, a void that no one is courageous enough to name.

---

Over the past five years, Vietnam has spent tens of millions of dollars digitizing its sports industry. Most V.League clubs now have GPS tracking systems for training, video analysis software, multi-angle slow-motion cameras, and international statistical data packages. National teams have also begun applying technology to talent selection and staff evaluation.

According to an industry estimate, Vietnam's total spending on sports data technology grew by an average of 28% per year between 2026 and 2026. But the share of projects with a dedicated data officer did not rise correspondingly. We are buying software, but we are not buying the culture of operating it.

On the surface, this is a remarkable transformation. But there is an uncomfortable truth: most of these investments are operating like a wrongly drawn map - beautiful on paper, useless in the field.

Data is not an asset until it is verified. This is the first principle any quantitative analyst learns in freshman year. Yet in the closed meeting rooms of Vietnamese football, I see too many wrong maps being cherished as treasures. People look at spreadsheets with beautiful red-and-green charts, nod, and approve transfer decisions worth billions of dong - without a single person pausing to ask the most basic questions: "Where does this data come from? Who collected it? Is there a conflict of interest if the collector is also the seller?"

If I had to name the biggest flaw in Vietnam's sports governance today, it is not a shortage of technology, not a shortage of personnel, and not a shortage of budget. It is the confusion between "having lots of data" and "having real information" - between the volume of raw data stored and the value of knowledge created from those numbers.

---

Let us start with a number.

In the 2026-25 season, a top-flight Vietnamese club completed the signing of a foreign striker with a total cost estimated at around $1.2 million, according to a regional intermediary. The player's data file was 40 pages long, packed with minutes played, goals, assists, and passing accuracy.

Six months later, the player sat on the bench or was loaned out with a salary subsidy clause.

I have a contact on that club's board. When I asked, "Was that data report independent of the agent?", he replied with surprise: "The agent sent the report. We approved it."

In finance, this is called a conflict of interest - a structure so flawed that no responsible investment fund would accept it. In Vietnamese football, it is business as usual.

Football is played on the pitch, but decided in the boardroom.

I am not alone in noticing this. Among my acquaintances in Southeast Asian sports, I count at least seven clubs that admitted they have no in-house data research unit, no historical data library of their own to benchmark against when signing new players. All they have are reports bought from outside - and that report is often produced by the very party selling the player.

The inevitable consequence: the Vietnamese and Southeast Asian transfer market is being distorted by media noise and the power of agents, rather than by a player's true value over the next three years of his career.

Agents are the biggest hidden cost; the noise they generate distorts the market.

In 2026, when Covid-19 froze all competitions, many V.League clubs for the first time had to calculate what would happen if every revenue stream - tickets, broadcast rights, sponsorship - disappeared for a quarter. The result was a white financial report: zero revenue, unchanged costs. More importantly, they had no historical dataset to fall back on.

A pandemic does not create a crisis; it sends a bill that was already due.

When every match stopped, the question "how has this player performed over the past three years" became impossible to answer because the club had no system of its own to store data. They had to borrow data from external companies, paying a higher price and accepting methodological dependence. What should have been an internal asset became an outsourced cost. And when the market reopened, almost no club in the region used the downtime to rebuild its data infrastructure. They returned to the old habit: relying on agents, relying on instincts, relying on luck.

I spend a lot of time comparing this with South Korea, where I currently live and work. The K League still has data shortcomings, but it has something Vietnam does not yet have: a culture of verification.

In the K League, any internally published analysis must state its data sources, collection methodology, and margin of error. If an analyst presents a player valuation based on outdated data, he will be questioned immediately in the meeting room. That is uncomfortable, but it protects clubs from emotional contracts.

That culture does not exist in Vietnamese football. No coach or executive is criticized for signing a trendy player with poor underlying numbers. But when a deal fails, the person responsible for analysis - if one exists - is the first to be blamed.

I once saw a well-known V.League head coach, after a defeat, blame "the analysis system for making the wrong recommendations." When I later asked the club's analyst, he said his recommendations had never been properly read. This is a form of responsibility avoidance disguised as technology.

This creates a paradox: everyone wants data, but no one wants to be accountable when data is wrong. Instead of building verification systems, many clubs simply polish their reports so leadership never asks hard questions.

Cash flow never lies, but the balance sheet knows how to.

Youth development is another area where Vietnam has enormous potential but wastes data. Scouting networks in developing countries can find rough diamonds - talented boys from rural areas with no access to professional training. But finding talent is only half the story. The other half is the number of families broken by a promise that a scout never kept. A boy leaves his family, enters an academy, and is released after two years - with no educational records, no transferable skills, no safety net. The lack of data here is not a technical problem; it is a humanitarian one.

Now let us talk about golf, a sector I follow closely in South Korea and across Asia. Vietnamese golf is showing promising growth in the number of courses and players, but its data foundation is almost zero. Youth tournaments lack a standardized statistics framework. There is no Strokes Gained tracking system or any normalized performance metric for Vietnamese golfers. Most importantly, there is no public database that sponsors or golf clubs can use to verify a golfer's real achievements.

The consequence: Vietnamese golfers compete internationally very rarely, and even when they perform well, those results are not stored, normalized, or used as a basis for sponsorship valuation. Sponsors look at domestic titles, then inflate or discount based on media narratives. As a result, a golfer with strong international results but weak media presence is undervalued, while a golfer with average domestic results but heavy media hype receives a sponsorship contract worth three times his true value.

That is a market bent by noise, not by substance.

A good model does not predict the future; it exposes what we choose not to see.

---

Someone will object: "Southeast Asian sports do not need big data yet. The league scale is small, budgets are limited, technology lags behind Europe. Just play first, then figure it out."

I think this is a dangerous way of thinking. Yes, Vietnam's budget scale cannot compare with Europe, but the cost of a wrong decision is no cheaper.

Let us do the math: a V.League club spends an average of 1.5 billion dong on a mid-tier foreign player contract. If a good data verification system reduces the failure rate from 50% to 40%, the club saves 150 million dong per deal. With six similar deals in one season, the savings reach 900 million dong - enough to fund a dedicated data analysis department for two years.

So the question is not "can we afford to invest in data?" The question is "can we afford to keep not investing in data?"

I also want to dismiss another misconception: "Data is meant to replace human decisions." No. Data does not replace intuition; it forces intuition to be honest. A coach can still rely on instinct to close a deal, but he needs data to know whether his instinct is talking about "a good player in one good match" or "a good player over three years." That difference is what builds champions.

There is one more question I often receive from executives: "So where do we start?" The answer does not lie in buying another new system. It lies in having the courage to delete the unverified reports already sitting in your system and starting over.

---

I still remember that blank report with "N/A" repeated across 14 pages. I did not forward it. I returned it with a note: "Refusing to process data without provenance."

Some decisions look technical but are actually cultural. When a sports organization is willing to stand before its leadership and say, "we have no data," that organization has already traveled half the road to maturity.

It takes three months to build a valuation model, and three years to understand where it went wrong. But it takes only three seconds to be brave enough to say: "This spreadsheet is empty, and we will not pretend it is saying something."