The N/A Gap in Vietnamese Football Analysis: When There Is No Data, Say There Is No Data

When I opened the latest analysis summary sent by a colleague in Hanoi, the screen displayed a cold chain of symbols: N/A. There were no expected goals, no pressure indicators, no tactical formation details, no physical performance notes. The match belonged to the regular-season stage of Vietnamese football and had produced no shortage of controversial moments, yet almost the entire analysis was left blank. Many people would treat this as an incident. I see it as the most interesting moment of the week.

Since I began using expected goals data in the Chinese league in 2026, I have seen spreadsheets mocked more than once. People told me that football cannot be reduced to numbers, that touchline instinct matters more. Seven years later, they are still arguing. But I have learned one principle: when the data is incomplete, I say it is incomplete. Without input, every conclusion is merely a bet without probability.

Expected goals, abbreviated as xG, is not a miracle. It estimates the average number of goals a shot can produce based on position, angle, open play or set-piece situation. PPDA, the number of passes a team allows before making a defensive action, is a way of measuring the honesty of pressing. When both indicators are missing, I cannot say which team pressed better. I cannot claim who defended more proactively. I can only say the picture of the match has not been completed.

The document I received was designed to assess six major areas: tactics, finance, sporting results, league positioning, regulatory compliance and the dressing room. All six lacked usable data. There were no passing statistics, no salary information, no injury records, no transfer context. Some younger colleagues might choose to write an emotional commentary to fill the void. I will not do that. An empty dataset is also a conclusion, and sometimes it is the most honest conclusion.

Imagine a V.League analyst relying on two television screens, a cup of coffee and a few text messages from acquaintances. He says the home team have good form because they won their last three matches. I would ask: where were those matches played, who were the opponents, and how many real chances did they create? “Good form” is an empty phrase if data does not support it. From my experience watching matches, a team can win three games in a row yet still play badly if opponents miss chances. Conversely, a team can lose three games yet create more opportunities than their rivals.

I am not saying Vietnamese football lacks quality. I am saying the way we tell Vietnamese football stories lacks precision. When a move is described as “very good”, I want to know whether it was good in positioning, passing or finishing. When a team is criticised for having “no fighting spirit”, I want to see data about duels, regains in the opponent’s half and the number of minutes spent sustaining tempo. PPDA is not a measure of spirit; it is a measure of honesty in pressing. If a team is not pressing, say so directly with numbers, do not hide behind fine words.

This empty analysis also reminds me of the home-advantage shock of 2026. When the Bundesliga returned after the pandemic shutdown, data showed home advantage dropped significantly when stadiums had no supporters. Many old models suddenly became useless. Those who trusted only intuition blamed the anomaly. But the only constant is change. With no spectators, away teams pressed higher, home teams sat deeper, and probabilities shifted every minute. I had to update parameters after each round, and I learned that an analysis without an update date is just a dead page.

So what is the value of that N/A-filled document? To me, it is a mirror reflecting prejudice. Many readers believe that whenever the word “analysis” appears next to the name of a football league, the content must be trustworthy. They do not ask where the data came from, how large the sample was, or which formula was used. They forget that prejudice is a match without data. I choose to bet on numbers. But when numbers do not exist, I bet on silence.

Vietnamese clubs must invest more in data collection, video-analysis training and a verifiable historical database. Media teams also need to change the questions they ask. Instead of asking coaches how they felt after a match, ask why the team delivered fewer crosses than the previous season’s average. Instead of writing that a player was “energetic”, state exactly how many accelerations he made in the final third.

Numbers never lie; only the people reading them deceive themselves. Just as an empty spreadsheet can make people imagine things that are not there. When the stadium falls silent, we can finally hear the voice of probability. When the analysis sheet has no data, the writer must be willing to say “I do not have enough information” rather than invent a story for the fans. Every spreadsheet is a monastery. I enter it to find the truth, not consensus.

This article is not only about an empty document. It is about how we consume football news. Before trusting a commentary, demand the data. Before sharing an article, ask what sources the author checked. Vietnamese football does not need more grand speeches. It needs readers who are willing to say: I do not predict football, I only describe probability before it happens. And if that probability has not been calculated, I will say so clearly.