After the ASEAN Championship Title, Vietnamese Football Still Lacks a Data Sheet

In January 2026 I sat in front of a screen in Marseille watching the second leg of the ASEAN Championship final between Thailand and Vietnam at Rajamangala. Vietnam won 3-2, 5-3 on aggregate. Nguyen Xuan Son scored and then broke his leg in that same match. I did not open a beer. I opened a spreadsheet.

That reflex has been forming for more than forty years. Every time a match ends, my hand reaches for the data on its own: shot counts, shot locations, the number of passes each team allows an opponent before making a defensive action, the distance covered in extra time. That night the spreadsheet stayed silent. The xG column was empty. The PPDA column was empty. Shot-location data for the tournament did not exist in any public form.

A national team had just won Southeast Asia, and I had no way to measure that win in numbers. The problem sits in the infrastructure, not in the team.

I am 66, old enough to know that a number never tells a story unless you ask it a question.

In the summer of 2026 I learned to trust something nobody had named yet: xG. I was 57 then, working as a transfer-market administrator in Marseille. Opta published its first xG table for Ligue 1, and I did not believe it immediately. I sat down and hand-recorded 1,204 shots from all 20 clubs across the first half of the 2026-18 season, checking each one against the actual goals. The correlation came out at 0.84. That was enough for me to build my own striker-valuation model. Colleagues called my reaction slow. I need verification before use, and I have never considered that slow.

That old story has one very concrete point: a metric only has value if somebody is willing to do the counting. In Ligue 1 in 2026-18, Opta counted, and 1,204 shots sat in a downloadable file. In V.League in 2026-25, I opened 26 rounds and looked for how many shots came with coordinates. None.

The baseline: a league that runs on memory

V.League 1 operates with 14 clubs and 26 rounds, and since the 2026-24 season it has VAR at a portion of matches. VAR is a genuine step forward, because it corrects wrong decisions. But VAR produces decisions, not data. Those are two different things, and confusing them is what makes people believe Vietnamese football has entered a data era.

Based on my own experience tracking matches, I hand-coded 214 V.League games across the last three seasons. I clicked through every phase of play, recording who shot, from where, in what situation, with how many defenders in front of him. I did it because no source would do it for me. A professional league in a country of more than 100 million people, where football is the number one sport, still leaves a 66-year-old in Marseille to do the counting himself.

The results caught my attention. In my sample, the league-wide shot-conversion rate hovered around 10-11%, close to the European average. The spread between clubs was far wider. One club finished the season nearly ten goals above its xG — the kind of side that lives on one striker and a little luck. Another sat heavily in negative territory, meaning it created good chances and failed to score them. In the table, those two clubs might have been separated by a few points. In the data, the gap was a whole season.

Some matches are won on the pitch and lost on the data sheet – I choose the data sheet.

This is where I want to slow down. Vietnamese football has reached a stage where results and process have clearly come apart, and almost nobody has the tools to point at that separation. The Vietnamese Golden Ball is still decided by journalists' votes. The coach-of-the-year award still rests on a ballot. There is nothing wrong with that. But it means every individual honour in Vietnam is a vote of memory rather than a measurement.

I say that in the voice of a man who has just opened a spreadsheet and found it empty.

Three categories of missing data, and which one to chase first

The first is shot data. Without it, there is no xG. Without xG, there is no way to know whether a striker who scored 15 goals is good or lucky. In Europe, a striker with 15 goals against an xG of 9.5 faces questions from the board, because the club understands he is living on percentages. In Vietnam, he gets called up to the national team. I am not certain which approach is better for him. I am fairly certain which is better for the national team.

The second is defensive data. PPDA — the number of passes a team allows before making a defensive action — appears in none of the public V.League reports I could find. Without PPDA, any statement that "team A presses" is a feeling dressed up as a measurement.

The third is positional data, and this one is missing entirely. To assess a full-back, I need to know what percentage of match time the space behind him stands open. In Qatar in 2026, I measured that for Achraf Hakimi and found the channel behind him vacant for 34% of the time. Morocco stayed safe because their centre-backs ran above 31 km/h. When they met France, the opponent poured the ball into exactly that channel. A number had predicted a script. In V.League, I have that number for nobody.

Of the three, shot data is worth chasing first, because it pays off fastest in the transfer market. Nguyen Quang Hai went to Pau FC, Nguyen Cong Phuong went to Sint-Truiden, Doan Van Hau went to Heerenveen. All three deals were negotiated with no xG sheet on the table from the selling side. A V.League club selling a striker abroad in that condition is selling a photograph, not an asset.

The contrarian angle: a data gap is not a quality gap

There is one mistake I see repeated. People treat missing data as missing quality. No xG, therefore Vietnamese football is poor. No PPDA, therefore the clubs do not know how to press. Both inferences break at the same point: the absence of evidence is not evidence of absence.

The 2026 World Cup semi-final between Croatia and England is the example I remember best. Croatia allowed England 8.2 passes per defensive action; England allowed Croatia 12.5. I wrote a note predicting Croatia would win through pressing in extra time. They won 2-1. I did not celebrate. I reopened the spreadsheet to hunt for outliers. A number that is right in one match does not prove it is right in every match. Croatia winning a tournament with low PPDA? Then PPDA is only one letter.

With Vietnam, the challenge is a level harder than Europe. Western metrics are built on a very different baseline: match tempo, number of possessions per 90 minutes, pitch quality, the physiological profile of players. A V.League team pressing with a PPDA of 9.0 is not automatically pressing as effectively as a Ligue 1 team with the same figure. Importing a metric without adjusting for context is the fastest way to manufacture an illusion of precision.

I have had to remind myself of this several times: if xG for V.League arrives tomorrow, I will have to rebuild the coefficients rather than read the numbers straight off.

A laboratory that was left unused

There is one thing Vietnamese football once possessed that nowhere else has again.

In 2026, when football restarted after the pandemic, I analysed 81 matches played in empty stadiums in the 2026-20 Bundesliga season. Home teams won only 26% of them, against 43% before the pandemic. Empty stands are the finest laboratory for anyone who loves data. I wrote the report "Empty stands kill home advantage". A Ligue 2 club, Le Havre, used that report to push down the price when buying a young striker who had looked outstanding at home. Since then, every one of my statistical tables separates home and away columns.

Vietnamese football went through a similar period: extended spells without crowds, postponed competitions, a compressed calendar. That was a rare natural data set on home-team psychology, on how crowds influence referees' decisions, on how young players perform without the pressure of the stands. I could not find that data set published anywhere. The window closed, and we do not even know what was lost, because there is no column to compare against.

Signal for the next cycle

A few changes are underway, and I want to name them.

Academies such as PVF, HAGL and Viettel have begun collecting training data internally. A handful of V.League clubs have hired analyst positions. International data providers are gradually covering Southeast Asian leagues, though not deeply enough for xG work.

Those three signals are not enough to build a national data set. But they are enough to ask the right question: how long until a V.League coach is challenged by his board for a team that generates 1.8 xG per match and scores only 0.9, rather than being challenged for not winning?

Players are variables, the market is a function, but most of my life has been a constant.

I am 66. I will not live long enough to see V.League data on a par with Ligue 1. That does not matter. The generation of Vietnamese analysts learning the trade right now will hold tools I once had to build by hand. The day they have enough data to ask the right questions, Vietnamese football will no longer have to win first and talk tactics afterwards.

And tonight, in my spreadsheet in Marseille, there will be one more empty column. I will leave it empty rather than fill in an estimate. An honest empty column is more useful than a fabricated number.