When Data Doesn't Exist: Lessons from the Information Void in Vietnamese Football

It begins with an empty spreadsheet. On my computer screen in Marseille, a technical analysis table appears with every cell blank: no xG, no PPDA, no distance covered, not a single number. That is not a system error — that is the reality of most Vietnamese football when I began following it closely last season. The transfer window is heating up with dozens of rumors about V.League clubs signing foreign players, but when I try to verify any of them with quantitative data, I find myself facing a wall: no open data sources, no public APIs, no statistical standard. The question is not "how much is this player worth," but "how can we know what is true when there are no numbers to anchor us?" Let me tell you about the frustration of a data analyst approaching Vietnamese football. I have spent two decades covering European leagues — where every touch is recorded, every shot is assigned a probability value, every player has a detailed electronic profile. When I turned my focus to the V.League, I thought I would find at least part of that data ecosystem. The reality is completely different. Apart from Goaloo, Flashscore, and a few basic statistics sites, Vietnamese football has almost no open data system for analysts to exploit. This is no secret to those in the industry, but it is rarely discussed frankly. The story of Vietnamese football's development — from the U23's achievement in Changzhou 2026 to the national team reaching the final qualifying round of the 2026 World Cup — is usually told through emotion, fighting spirit, resilience. But to me, someone who has lived and worked by data, that story lacks a foundational layer: no one accurately measures what is actually happening on the pitch. Look at this year's V.League transfer window. Clubs like Cong An Ha Noi, Thép Xanh Nam Dinh, and Becamex Binh Duong are recruiting foreign players from Europe, Latin America, and Africa. The media reports lavishly on salaries and signing bonuses, but no analysis goes deep into whether a striker who played in the Brazilian second division suits the high-pressing style a Korean coach is building, or whether a 33-year-old center-back from Thai League still has the fitness for the congested V.League schedule. No one can answer these questions satisfactorily because we simply lack the data. There is no Opta, no Stats Perform, no third-party unit collecting detailed data on every V.League match. Clubs operate on intuition, and the transfer market is driven by agents, personal relationships, and promises that no one can verify. I remember once analyzing the match between Ha Noi FC and Viettel in a blog post. I wanted to compare the pressing styles of the two sides, but there was no PPDA data. I wanted to examine the quality of chances each team created, but there was no xG data. All I had was the final score, corner count, and cards — numbers far too crude to say anything profound. That is when I realized: in Vietnamese football, any deep analysis must begin with a manual data collection process. I spent hours rewatching videos, counting pressing actions myself, assigning goal probabilities myself. It was tedious and impractical for someone needing to write multiple analytical pieces each week. But it is precisely within this data void that I found an opportunity. Let me explain it the way a data obsessional would. When everyone has the same data set, the market quickly adjusts to price things correctly. But when no one has data, whoever is willing to watch videos and count manually can find anomalies the market overlooks. That is the information arbitrage opportunity. Imagine a young Vietnamese midfielder playing for a first-division club. No international analyst knows of him because no data about him exists on Wyscout or InStat. But if a scout spends time watching ten of his matches, that scout will spot through-line passes that no one else at his position in the V.League makes. And because the market lacks data, his true value is underpriced. This applies not only to young Vietnamese players but also to many foreign players playing in overlooked leagues like the Brazilian second division, Spanish third tier, or the Indonesian championship. My contrarian view is this: in a transfer market without data, the "big fish" of Vietnamese football are making a serious mistake by relying on agent networks to build their squads. They are spending billions of dong on players introduced through highlight reels — a five-minute selection of carefully curated highlights — without any quantitative evaluation system. Meanwhile, smaller clubs with limited budgets have a genuine opportunity to find rough diamonds by doing their own manual scouting. I witnessed a first-division club recruit a Cameroonian winger who had played in the French third division for less than a fifth of the salary an agent demanded for a "big name" foreigner in the V.League. That season, the Cameroonian scored 7 goals with 5 assists, while the expensive name managed just 2 goals and was released mid-season. Numbers have no bias. Bias lies in those who lack numbers. I have written this sentence many times in my analyses, and it has never been truer than in the Vietnamese football context. When I look at the data scarcity in the V.League, I do not see a technological underdevelopment; I see a cultural deficiency. Vietnamese clubs still operate the way they did in the 1990s: relying on the coach's intuition, personal relationships, and oral tradition. No one asks "why," because no one is accustomed to answering it with numbers. Meanwhile, in Europe, even third-division clubs have at least one data analyst using Wyscout and sending weekly reports to the coach. Let us address another dimension: fitness and injury risk. Croatia at World Cup 2026 is a perfect example I frequently cite. They reached the final through extraordinary fighting spirit, but running-distance data shows they exceeded their biological limits in the semifinal. Facing France in the final, they ran 11 kilometers less than their opponents, and the result was a 2-4 loss. Fighting spirit cannot compensate for declining physical capacity, and the data said so clearly. In Vietnamese football, no club uses GPS data to monitor players' training load across a full season. There is no data on sprint speeds, deceleration counts, or per-match pressing intensity. As a result, injuries occur at a noticeably higher rate than the Asian average, and no one can pinpoint the exact cause. I followed a young winger once considered the hope of U23 Vietnam — he tore his ACL twice in three years. In an injury-risk assessment piece for a football website, I estimated his probability of returning to pre-injury form at just 27%, based on international studies on ACL injuries in young players. My article was criticized as pessimistic, but two years later, he never regained his original speed, and his career has stalled. So, what needs to change? I am not proposing that every V.League club immediately spend hundreds of thousands of dollars on expensive data systems. That is unrealistic in a league where many clubs' operating budgets are below that of a fourth-tier English club. But there are modest steps any club can take. First, start collecting basic data on your own team: each player's running distance per match, acceleration bursts, pressing actions. GPS devices have become far cheaper than a decade ago, and open-source solutions exist for data analysis. Second, partner with research institutions — universities, sports institutes — to build an open V.League database where analysts can contribute and access match data. This would not only improve transfer quality but also develop the tactical understanding of the entire football ecosystem. People see a comeback; I see a broken chart. When a V.League team stages a spectacular comeback in the final 15 minutes, fans praise the fighting spirit. But if we look at the data, we often see the opponent had exhausted themselves pressing too hard early on, or the coach made timely tactical adjustments — sensible substitutions, a shift to 3-4-3, pushing the line higher. The emotional story is not wrong, but it tells only part of the truth. The rest lies in the numbers we are missing. It is time for Vietnamese football to take the data problem seriously. In an era of globalized football where European clubs are using artificial intelligence to predict player values, a league without data will continue to fall behind. The national team can succeed in the short term through spirit and a good coach's tactics, but sustainable development demands a solid information foundation. And I believe this is entirely within reach. It only takes a few pioneering clubs to start publishing their data, creating a positive ripple effect, and the whole ecosystem will shift. As someone who has witnessed too many broken promises, I trust only data. And with data, I believe Vietnamese football can go even further.