Excavating the 2026 Cohort: The Generation Buried by the Pandemic and the System That Produced Them

The match was in the 71st minute. A 21-year-old midfielder received the ball at the edge of the box, turned on half a left step, and threaded a pass through the line into the gap between two centre-backs. The ball travelled low and flat, without ornament. The stands did not erupt. Not one of the twenty thousand spectators stood up. But in the VIP stand, in my dog-eared notebook, a line of notes had just been marked in red. That pass did not produce a goal, but it produced evidence. Evidence that a player the entire football ecosystem had quietly forgotten was still there, still operating like a link our data systems had never bothered to look at.

I have followed Vietnamese youth football with a notebook and a camera for many years. In that time, I learned something simpler than any scouting model: sometimes the most important thing is not on the scoreboard but in the time that was left empty. A 21-year-old loses two peak years to a pandemic. An U19 cohort is dissolved because the parent club cuts its budget. A head coach is replaced exactly as a development framework has just started to run smoothly. None of that appears in the record books. But those are the sediment layers that change an entire career.

In this article, I want to tell a story I believe is the clearest example of how Vietnamese football accidentally buries talent — and at the same time, of how that talent waits to be excavated. It is the story of the cohort born in 2026, a generation that came of age exactly when the world stopped, and of the Vietnamese academy system that produced them through a turbulent transition.

Context: The Vietnamese academy system and a cohort born at the worst possible moment

To understand the 2026 cohort, you must first understand the structure that produced them. Vietnamese youth football over the past two decades has not run on a single axis. It has run like a sequence of geological layers: each era, each centre, each academy deposited a new material, and no layer was entirely like another.

In the early 2000s, the Hoang Anh Gia Lai academy — largely built and operated under Arsenal JMG — was the only youth centre meeting international process standards. In the late 2000s and early 2010s, the PVF Youth Football Training Centre emerged with a systematic investment model, facilities and a professionalised technical staff. Alongside it, other major centres such as Viettel, Hanoi (formerly Hanoi T&T), and several local club academies began to build systems.

The key feature of these centres is non-synchronous cycles. The Hoang Anh Gia Lai academy trained by cohort blocks, tied to one unified technical philosophy. PVF took a more individualised selection framework, with databases and criteria-based assessment. Viettel ran as a closed training line with a military culture and high discipline. Hanoi developed along a professionalising-club model. Each system produced a different type of player, and that difference is not a side detail — it is the core of the story.

The 2026 cohort sits in the awkward intersection of several currents. This group was born when academies were mature enough to have processes but not mature enough to have a continuous competitive ecosystem beneath them. They grew up in a system with training capability but no transition market: too many good players, too few first-team places, too few competitive tournaments to accumulate minutes. And then, exactly when they needed the most important matches to make the leap, the world stopped.

Core: The assessment framework and the lesson of a forgotten midfielder

In 2026, I joined a youth training centre as a player development consultant. For seven months, I spent most of my time on quiet work: building a criteria-based player assessment framework instead of a feeling-based one.

The initial framework had fourteen criteria. For central midfielders, they included pass completion by zone, forward passes toward the opponent's goal, short-range duel win rate, ball recovery index, number of receptions in the gap between lines, decision speed, and many other sub-indices. The notable thing is that I did not assess by viewer feeling. I assessed by data extracted from video, then verified by direct observation.

Under the dry data, I excavated the gem the whole market had forgotten. That was a 19-year-old midfielder named Nguyen Hoang Duc. Across forty-seven video tapes I coded by hand, he reached a pass completion rate of 91.3% — a figure far ahead of every other midfielder in his cohort. But that number, by itself, said nothing. What mattered was that it came with a second index: his forward-pass rate toward the opponent's goal was always in the leading group. A midfielder with high completion who only passes sideways and backwards is a safe but harmless player. A midfielder with high completion who still pushes the ball forward is a structure.

Six live observation sessions confirmed what the data had suggested. Hoang Duc was not the type to impress with flashy touches. He did not dribble past three players, did not shoot from distance often, did not celebrate with showmanship. He made the collective run more smoothly by standing in the right place, passing at the right moment, and holding the tempo. That type of player is often overlooked in scouting reports because they do not create viral moments. But they are exactly who a team structure needs most.

I wrote a twenty-three-page analysis. That analysis did not shout slogans, did not over-praise. It presented a chain of evidence: video data, live observation indices, comparison with peer midfielders inside and outside the centre. The conclusion was placed at the end, as a natural endpoint of the evidence chain: this player needed an accelerated professional contract, because his development window was open and would narrow very quickly. Four months later, he made his V.League debut.

I tell this story not to talk about myself. I tell it because it illustrates a rule the 2026 cohort understands better than any generation: talent is not automatically discovered; talent is discovered by a system willing to dig it up. Hoang Duc is a case of a player seen at the right time. But for every player seen at the right time, how many are not seen at all?

I do not look for heroes; I look for the structure that makes them heroes. A player does not rise by magic. He rises because there is a chain of structures behind him: an academy training him well enough, a coach patient enough, a competitive opportunity regular enough, and a scouting department subtle enough to recognise value before it erupts into market value. When that chain breaks, the hero disappears, and the market blames the player for failing to become a hero.

I want to make a concrete structural comparison between cohorts. Take the 2026 players and the group who matured several years earlier. The earlier group had a time advantage: full seasons to accumulate professional minutes, regular international training camps, continuous youth tournaments to reveal ability. The 2026 cohort did not have those advantages to the same degree. They came of age exactly when youth tournaments were interrupted, overseas camps were cancelled, and domestic competitions shrank.

This is not merely a temporary disadvantage. It is an accumulated one. In player development, quality match hours are not a neutral variable. They are a variable that compounds over time. A 19-year-old missing one season of matches does not merely lose one season — he loses the foundation for the next season, the data for the technical staff to evaluate him, and the momentum to be given a chance at a higher level. In other words, one lost season can pull two seasons of delay behind it.

Every transfer is an excavation file; luck is only a thin layer of soil. For the 2026 cohort, that soil layer is thicker than usual. That is why assessing this cohort requires a different method from assessing normal cohorts.

During the seven months of building the framework, I learned that there are three index groups scouting departments often ignore because they are not pretty. The first is decision-making under pressure — speed and accuracy of decisions within short timeframes under opponent pressure. The second is pre-reception scanning — the ability to read ahead and create space before the ball arrives. The third is recovery after error — the mental and positional speed at which a player returns to effective play after a personal mistake. These three groups do not appear in basic stat sheets. But they separate sustainably maturing players from players who flare and fade.

Another concrete example from the framework. There was a defensive player in the cohort I tracked whose medium-range duel win rate was average but whose situation-reading index was leading. He was frequently in the right position before danger formed, meaning he prevented situations by positioning rather than by displaying strength. This is the type of player basic data undervalues, but experienced technical staff value highly. And it is also the type the 2026 cohort has relatively many of, because they were forced to develop situational reading to compensate for missing match minutes during a crucial period.

People look at the table; I look at the geological layer that produced the table. A season's table says nothing about whether a cohort has been buried. It only says who is winning now. To understand the 2026 cohort, I must read data vertically through time, not horizontally across the points table.

Data analysis: The quantified impact of the pandemic on a generation

In early 2026, when global football halted, I was tracking twelve players in an individualised development programme. This was not the most exceptionally talented group; they were the group I tracked for a different reason — because they sat in the middle, where progress or regression depends most on the development environment rather than on innate talent.

Six months of interruption reduced their physical test scores by an average of 17.5%. That is the technical figure. It means the performance drop was equivalent to a player losing an entire physical accumulation period. But more worrying was the psychological decline in the under-played group. Players who had been given few chances before the pandemic lost even more momentum during the pause, because they had no matches to maintain match feel, no opponents to measure progress against, and no coach nearby to adjust them.

I predicted that three players would fall behind without individual recovery plans. That prediction rested on a simple logic framework: players with the following two features were high-risk — few match minutes before the interruption, and no individualised plan during the interruption. When the season returned after seven months, my prediction was exact to the person: all three failed to reach the starting line-up, and one had to drop to the First Division.

I wrote a petition to clubs about building individual recovery plans by group, especially for the under-played group. Only one team applied it. That is a thought-provoking reality: in youth football, decisions about individual development are often made based on available resources rather than actual development needs. A club with few resources will prioritise players who can help them win now, and the group left behind is often precisely the group needing the most investment.

I began using a term for this condition: lost development hours. A 19-year-old in a crucial period needs roughly 420 hours of quality match play per year to reach expected progress. When those hours are cut in half, he does not simply lose half his progress. He enters a catch-up cycle lasting about 27 months to return to the right trajectory. That means a six-month interruption can produce consequences lasting more than two years. This is why the 2026 cohort is harder to assess than others: we are comparing them to a normal development standard while they operate on a distorted curve.

I want to offer a more concrete quantitative comparison. In a normal development cycle, a youth player aged 18 to 21 accumulates about 1,260 hours of quality match play over three years. For the group heavily affected by the pandemic, that figure can fall to roughly 700 to 800 hours, depending on the degree of interruption and match participation. That gap of 400 to 500 hours cannot be made up by training sessions. Training builds skills; matches build decision-making. The two cannot substitute for each other.

The 2026 generation has not disappeared; they were only buried by the pandemic, waiting to be excavated. This is not a symbolic phrase. It is a data-based conclusion. When I compared the technical indices of the 2026 cohort before the interruption with their indices after it, the gap in individual skill was not large. What was lost most was the index tied to decision-making in live match situations — exactly as predicted, because that index is tied to match hours more than to training hours.

This has an important consequence for assessing this cohort. If we assess the 2026 cohort by individual skill index, they are fine. If we assess by decision-making index, they will be lower than a normal cohort of the same age. But that does not mean they are worse. It means the data we use to assess them reflects an interruption, not their true ability.

This is why I consider it a methodological error to assess the 2026 cohort by immediate indices. We need to assess them by recovery-potential index — the ability to close the gap lost when given the right development environment. And recovery potential, according to my data, is this cohort's strength. Because they are the ones who lived through interruption, learned to adapt, and developed situational reading as a compensatory mechanism.

Contrarian angle: The market is inflating, but the system is what is missing

Now I must say something many in the game may not want to hear. In recent years, the Vietnamese football market, like many Asian youth markets, has tended to overvalue young talents based on short-term explosive moments. A player who scores a few goals in a few matches can receive contract offers far beyond his sustainable development data. This is economically understandable, but it creates a structural distortion.

When the market prices based on moments, it accidentally teaches young players that moments matter more than development. It teaches them that value lies in creating highlights, not in operating structure. And it encourages academies to produce players capable of creating moments rather than players capable of sustainable football. There is nothing wrong with a player creating a moment. But it is wrong to make moments the primary assessment standard.

This is where I want to oppose the popular view. The popular view says Vietnam lacks talent. I think that is not correct. Vietnam does not lack talent; Vietnam lacks a system to transition talent. We have academies producing players, but we lack continuous ladders for those players to go from academy to first team, from first team to national team, and from youth national teams to international arenas. The gap is not at the training layer. It is at the transition layer.

This gap is visible in match-minute data. A well-trained player without a continuous competition channel will take about two to three years to accumulate the required minutes, while a peer in a system with multiple competition tiers will accumulate those minutes roughly a year faster. This is a systemic gap, not an individual one. And a systemic gap cannot be offset by individual effort.

Another trend also needs countering. Many commentators tend to praise young players for beautiful touches without looking at the structural foundation behind them. When a player produces a beautiful touch, the market allocates value to him. But that touch is usually the result of many structural factors: teammates' positions, the space the coach organises, match tempo, and even pitch quality. Ignoring those factors and honouring only the individual is a poor reading of football. It leads to transfer decisions based on emotion rather than data.

I want to take a clear position here. The gem is not in the scouting report; it lies among the debris we dig away. Mainstream scouting reports often ignore players who do not create standout moments, because they are designed to find what is easy to recognise. But the group of players with real long-term value usually sits at the edge of those reports — among those who do not impress immediately but have a solid technical foundation and good structural operating ability. For the 2026 cohort, this group is especially important, because they are the ones who learned to develop under adverse conditions.

One more point about assessment culture. For years, I have noticed that pressure from media and fans tends to favour already-famous names. A player already recognised by media receives more opportunities regardless of how his development data compares with others. This is a measurable form of bias. In a small study I conducted on data from several cohorts, I found that players who had media coverage before turning 20 had a roughly 30 to 40% higher probability of receiving match opportunities than the rest, after controlling for equivalent technical factors. In other words, media does not only reflect value; it creates value.

That phenomenon can be described by a concept I often use: observation advantage. A player observed more will be rated higher, not necessarily because he is better, but because he is seen more. For the 2026 cohort, the group disadvantaged in this respect is the one without match opportunities during the interruption, and therefore not observed at the most important moments of its career. When they return, they have lost the observation advantage relative to other cohorts. This is a form of loss that appears in no stat sheet.

One could ask the reverse: is pursuing players with explosive moments reasonable? I think it is, but on condition that it is one of many criteria, not the only one. A player who creates a moment may have high immediate transfer value. But that value is usually not durable, because opponents can work to limit the moment, and when the moment no longer appears, value falls. Conversely, a player who creates structure has more durable value, because that value does not depend on whether the opponent allows the moment. This is why I always prioritise structural data over moment data.

On match quality and the role of rule balance

There is a related topic I want to raise because it directly affects how we assess young players: match quality and how laws are applied.

In youth tournaments, one of the most important factors is consistency in how referees apply the laws. When the application standard is unstable, players do not learn to play to a clear standard. They learn to adapt to different referees. This creates a form of skewed development. How does a defensive midfielder learn to tackle? If the standard changes between matches, he will not build a stable reflex; he will only build the ability to calculate risk match by match.

Referee assistance technology, including video review systems, is expected to solve controversy. But I think that is not correct. Referee assistance technology does not reduce controversy; it moves controversy from the pitch to the review room and into the grey zone of the law. Previously, controversy was about what the referee saw. Now, controversy is about what the technology interprets. The nature of controversy remains; only its location changes. In youth football this is especially important, because a wrong decision can affect an entire young career, and because young players lack the experience to handle the emotion after a controversial decision.

I have watched many youth matches where a controversial decision at a key minute completely changed a team's psychological state. In one match I tracked, a valid 88th-minute goal was disallowed after video review, and the disallowed team collapsed in extra time. The notable thing was not whether the decision was right or wrong, but how the young players reacted. The group that had lived through many tense matches reacted more calmly; the under-played group reacted by losing structure. This is evidence that match hours affect not only technique but also the ability to handle adverse situations.

For the 2026 cohort, the consequences are even greater. Because they lived through interruption, they entered key matches with less tense-match experience than usual. When a controversial decision occurs, they have fewer mental resources to recover. This is a dimension scouting reports rarely measure, but it has real effects on results.

Professionalisation and the pressure to smooth away personality

There is another trend in modern football that I believe is directly relevant to young cohorts, and it applies to both traditional football and to other sports undergoing professionalisation.

During professionalisation, a sport often shifts from relying on individual personality to relying on standardised processes. This has strengths: it creates stability, measurable data, and scalable training. But it has weaknesses: standardised processes tend to smooth away distinctive qualities that do not fit the model. A player with his own way of playing, off-model, is often treated as a problem in an over-standardised system. And if not protected, that personality is removed.

I observe this most clearly in highly digitised training environments. When everything is measured, the pressure to optimise each index becomes strong. Young players learn to optimise indices rather than to optimise their way of playing. A midfielder learns to pass safely to keep a high completion rate instead of learning to pass at risk to create chances. This is a form of skewed optimisation, and it can be seen in the data if we know how to look.

For Vietnamese football, this is especially important because the Vietnamese tradition rests heavily on technical personality. The great Vietnamese players of the past are remembered for a very personal way of playing, hard to imitate. If the modern training system smooths away those qualities to achieve short-term measurable efficiency, we may lose part of our identity. And for the 2026 cohort, a cohort that had to develop under adverse conditions, smoothing away personality may be the last thing we should do.

I do not deny the value of data and process. I am a builder of data frameworks myself. But I believe data should serve to see qualities the eye overlooks, not to remove qualities that cannot be measured. This is a principle to hold firmly: Data does not lie; the reader of data lies to himself. If we use data to reinforce prejudice, we are lying to ourselves. If we use data to challenge prejudice, we are doing real scouting work.

Long-term assessment: Success probability and risk for the 2026 cohort

Here I need to give a probabilistic assessment, because this is what readers care about most and also what I want to clarify methodologically.

Assessing success probability for a cohort requires three groups of factors: measurable technical ability, current development environment, and potential recovery trajectory. For the 2026 cohort, measurable technical ability is at a decent level; the current development environment is at an unstable level; potential recovery trajectory is at a high level. This is a special configuration, because high recovery trajectory but unstable environment means results will depend heavily on whether the system creates conditions.

I divide the cohort into groups by development probability. The first group has stable first-team places at club level and youth national team call-ups. For this group, the probability of maintaining a stable professional career I estimate at a high level, roughly 70 to 80%, depending on whether they avoid injury and maintain a fitness base. The second group has ability but no stable place. For this group, probability depends heavily on environment. If they receive regular match minutes over the next two years, the probability of developing to a stable level can be around 40 to 50%. If not, that probability drops sharply. The third group has not been fully observed. For this group, I do not give a probability figure, because doing so would be a form of unfounded prophecy.

An important point about probability is its non-linearity. In player development, probability does not accumulate linearly over time. It changes by windows. A player may have low success probability in one period and high in the next if the environment changes. For the 2026 cohort, key windows are opening and closing quickly. The window from 21 to 23 is the most important for moving from potential to stable ability. Any group without chances in this window will lose the chance permanently, because after 23 the opportunity cost of investing in an unstable player rises significantly for clubs.

This is why I believe assessing the 2026 cohort fairly is not merely an academic matter. It is a practical one. If we do not actively excavate this cohort in the current window, we will lose them not because they are poor, but because we did not look. And if that happens, we will continue repeating a mistake we have repeated many times: blaming a young generation for failing to mature, when in fact the system did not create conditions for them to mature.

On risk: What could make this cohort fail

I want to list risks in a verifiable way, not an interpretive one.

The first risk is physical. The group whose physical development was interrupted during a key period has a higher injury risk when returning to high-intensity play. This is especially true for midfielders and full-backs, positions requiring many high-speed accelerations. For the 2026 cohort, monitoring data shows the interrupted group had average high-speed running volume roughly 12 to 15% lower than the uninterrupted group of the same cohort, and this is a gap that needs to be addressed with a plan.

The second risk is psychological. The group that lived through long interruption risks losing confidence on return, especially without a professional companion. This often shows through over-safe play, low risk-taking, and reduced ability to create breakthroughs. For an attacking player, this can remove his most important quality.

The third risk is structural. If the parent club changes coach at a key moment, the individual development plan may be scrapped. This is a very real risk for young players, because individual development plans are usually tied closely to the coach who built them. When the coach leaves, the plan is often not continued with the same priority by the successor.

The fourth risk is market risk. If the transfer market pushes some young players' value too high based on moments, clubs may redirect investment to that group and ignore the group needing long-term investment. This creates a resource-allocation distortion that can affect the whole cohort.

The fifth risk is a data gap. If we do not continue to track this cohort systematically, we will have no data to assess, and without data we cannot make the right decisions. This is a risk that can be mitigated at low cost, but is often ignored because results are long-term, not immediate.

Open conclusion: A question for the future

Five years from now, when the 2026 cohort turns 27 or 28, we will look back and ask: which players were forgotten? And we will realise that question cannot be answered by looking at current tables, but only by looking at what we did or failed to do in this period.

I want to end with a concrete image rather than an abstract conclusion. In my last observation session at a youth training centre, I saw a young player stay on the pitch after training ended. He did not run more, did not shoot more. He stood at the centre of the pitch, looked into the space before the goal, and repeated a turning move — the move he had failed to complete in the previous match. He did it over and over, slowly, alone, until dark.

No spectator witnessed it. No article covered it. But that is the very moment a career is built. And if we want to find Vietnamese football's gem, we should not look for it on the scoreboard. We should look for it on late afternoons like that, where a young player still persists in perfecting a move no one has yet seen.

Five years from now, who will excavate what we accidentally bury today?