The Blank Data File in V.League: When an Analyst Has to Learn to Say “Insufficient Information”

At 22:40 in Singapore, the screen in front of me shows a data file from a V.League 1 match I am coding for a statistics provider. The file has thirty-seven rows. The distance-covered column is blank. The sprint-count column is blank. There is no xG column at all. Only three things survive: the minute, the scorer’s name, and a status line stating that positional data is unavailable.

A colleague at the desk messages me: “How did the away side play tonight?” I type an answer, delete it. Type again, delete again. Four punchy headlines about the away team’s back line, about a midfield being overrun, about a centre-back running out of legs, are already lined up in my head. None of them stands on a single number. I reopen the file a third time, check it a fourth, then write one line: insufficient information to assess.

That was the hardest line I have written in thirteen years of watching football. Harder than any tactical piece, harder than the day I was mocked on a forum in 2026, harder than the nights during the 2026 World Cup when I coded every touch of Spain’s 3-3 draw with Portugal. It taught me more than every chart I have ever built.

A BIG LEAGUE WITH NO DATA CORRIDOR

V.League 1 runs with 14 clubs and 26 rounds per season. In 2026-24, Thép Xanh Nam Định won the title, their first since 2026. Nguyễn Xuân Son scored 31 goals that season, the highest single-season tally ever recorded in V.League 1. Those facts were published, transmitted, repeated thousands of times.

What was not published is larger. Vietnamese football has no open public data system comparable to what Europe’s top leagues provide: shot maps, per-match xG, pressing metrics, positional data on every touch. Most V.League clubs have no dedicated data analyst, and what reaches television is largely basic: possession, shot counts, foul counts.

So a league watched by millions operates on a very thin information base. Every week I see forums reconstruct entire matches in confident language: “this team sat in a low block”, “that midfielder lost his position”, “this goalkeeper is poor with his feet”. Some of it is right. But none of those writers has a data file to check against. They are retelling memory, and memory is a terrible data source.

VAR arrived in V.League in 2026, bringing a new layer of information. Yet fans still have almost no public data on how often VAR intervenes, the average review time, or the rate at which decisions are overturned round by round. Debates about referees therefore run entirely on feeling.

THIRTY-ONE GOALS AND WHAT WE DO NOT KNOW

Start with the most repeated number. The 31 goals of Nguyễn Xuân Son in 2026-24. What exists in the public record is a list: which goal, which minute, which opponent. What does not exist: how many came from the penalty spot, how many were headers, how many were finished inside the six-yard box, the season’s total xG, and the gap between xG and actual goals.

That absence stopped nobody from calling him a box predator or a poacher. I do not object to those descriptions. I want to know what they rest on. The confidence of commentary is inversely proportional to the amount of data behind it — the fewer the numbers, the more decisive the language, because nothing forces the speaker to hedge.

This matters more than its academic veneer suggests. A V.League club signs a foreign striker based on goals, not shot quality. An agent negotiates a salary based on goals, not expected goals. When that player scores nine the following season instead of twenty, we call it a loss of form. It may simply be a noisy sample returning to its true value.

GOALKEEPERS, MEASURED FOR THE WRONG THING

Here I have a bias, and I admit it. I believe goalkeeping distribution has been sanctified, while the things that can actually be measured and matter more — reflexes, positioning, reading of the play — are ignored. In V.League the distortion is worse, because there is almost no statistical column for goalkeepers at all.

Nobody publishes a goalkeeper’s pass completion by zone of the pitch. Nobody publishes how often a goalkeeper leaves the box to deal with a cross. Yet belief in a keeper who is “good with his feet” travels fast. Đặng Văn Lâm and Nguyễn Filip have sat at opposite ends of such debates. I watched both, took extensive notes, and still could not build a comparison table tight enough to convince myself.

In 2026, when football stopped for the pandemic and the club I was interning with as a data analyst was dissolved, I volunteered to analyse a women’s U19 national team that had only twelve matches all year. I heard a goalkeeper describe how she reads the striker’s belly step, something that appears in no data export. Her penalty save rate was 43 percent. That number came from re-watching footage by hand, logging every run-up into a spreadsheet — not from any provider. Some numbers never appear on a stats sheet; they live between two touches.

VAR AND THE CLAUSE THAT CANNOT BE MEASURED

An overturned VAR decision is never explained with a number. It is explained with the phrase “clear and obvious error”. That is a vague clause, and the subjective space inside it is far wider than the usual imagination of technology allows. A referee can review five times and still see two different things on the sixth. There is no instrument for “clear”, and because there is no instrument, public opinion invents one.

YOUNG PLAYERS WHO ARE NEVER COUNTED

Then there is the academy system. Centres such as HAGL-JMG, PVF and Nutifood have produced plenty of national team players. But how big clubs use satellite club networks to rotate domestic training quotas is another story, and it is barely measured. Minutes played by under-21 footballers in V.League are not published as an index by round, by club, by position. A young talent can be called “one for the future” for three straight years while nobody checks how many real minutes he has played.

THE COUNTER-INTUITIVE ANGLE

When a data file comes back blank, the industry’s instinct is to fill it with narrative. Narrative is more comfortable than white space. But a blank file is not a hole to plug; it is a boundary to respect. And the market never sits still: when data is empty, someone is always ready to sell you a number of unknown provenance — a bookmaker, an agent, a social media account with a hand-drawn chart, a club eager to advertise a project.

In 2026 I wrote my first piece for “Data Corridor”, on Mesut Özil’s 17 key passes, with three charts. Someone told me a girl knows nothing about football. I did not delete the piece; I added charts. Years later, I realise the bigger lesson was not in those three charts. It was that I knew exactly what I was missing. In a corridor, if you only look toward the light, you will miss what is standing in the dark. And part of that dark may be you, writing about a match you have not watched closely enough.

I also remind myself of something else: empathy for those the stats sheet forgets must not become a weapon to pull down those the stats sheet remembers. Nguyễn Xuân Son is not the problem. The way we record him is the problem.

WHAT TO WATCH NEXT ROUND

The signal I am looking for next season is not a beautiful goal, but a V.League club that starts recording its own data: minutes for young players, shot maps for strikers, save rates by shot angle for goalkeepers. The club that does this first will hold an advantage for years, because it will know the true value of what it owns.

A season is not the sum of 26 matches; it is the repetition of 17 forgotten passes. And here is what V.League must answer: how long until every pass in this league is recorded — not to decorate television graphics, but so that a writer can stop typing “insufficient information to assess” at 22:40 on a Saturday night.