When Scouting Reports Go Blank: Why Missing Data Does Not Mean Low Risk

In September 2026, at the Manchester City academy, I completed a twelve-page report on a sixteen-year-old boy named Phil Foden. Three months later, Foden came on in the Champions League and scored on his debut. In that report, I wrote that he lacked the pace and the frame to play at the top level. Every metric I measured was accurate. My conclusion was wrong. I read the physical data and ignored his ability to read the game — something that lives in no spreadsheet column.

Ever since, before signing my name to any report, I force myself to answer one question: what makes me believe this — the data, or my own bias? That question has followed me through sixteen years of watching youth football, and it became more painful than ever in 2026, when the entire football world suddenly lost its data.

In March 2026, the Premier League was suspended. Youth leagues were cancelled en masse. During six months without football, I lost my freelance contract with The Athletic. But what troubled me more was a different void: the data disappeared. No matches, no training sessions, no scouting reports. Clubs preparing for the summer transfer window realised they had nothing to rely on but old notes, most of them a year out of date.

Two years earlier, in Moscow, I had witnessed a milder version of this problem. On 30 June 2026, after the France–Argentina match at Luzhniki, I stood in the stadium corridor and listened to two German scouts discuss Kylian Mbappé, then nineteen. They said he ran fast but could not sustain his level across ninety minutes. I wrote a 2,000-word rebuttal arguing that they were judging from a sample far too small to conclude anything about the endurance of a teenage player. A The Athletic editor noticed that piece and invited me to contribute.

But it took the pandemic for me to see clearly what I had touched on. When the data sample shrinks to zero, people rarely say "not enough information". They say "no problem detected". That difference, seemingly small, is the root of almost every scouting error I have ever witnessed. The 2026 phone call saved no one's career, but it saved me from arrogance. It taught me that a small sample and an empty sample are two different things, and both are dangerous if we pretend they are sufficient.

Here is the core point I want to name: missing data is routinely misread as low risk. In scouting, a blank cell is never neutral. It gets filled with assumption. When a young player has no match data because his league was cancelled, the system does not record "unknown" — it records "no issue detected". Those two sentences are worlds apart, yet on a spreadsheet they look identical.

The six months without football in 2026 were when I built a scoring system of my own, called the Youth Impact Index. The idea was simple: assess young players on ten criteria that stay stable across three consecutive seasons, rather than on one match or one flash of brilliance. The purpose was not to predict who would become a star. It was to distinguish clearly what was real data from what was a gap papered over. I called every empty cell a "dark zone", and the first rule of the system was: dark zones must be recorded, never coloured in.

When football returned in June 2026, many clubs short of data from cancelled youth leagues began to approach me. Huddersfield Town paid £15,000 for a report on five Brentford youth players. I remember the feeling: not pride, but caution. Because I knew my own report contained empty cells too, and the most important thing was to state them clearly, not to hide them.

In statistics, this is called the missing-data problem. But in football, it is rarely treated as a technical problem. It is treated as a silence that needs filling. A scout cannot submit a report that says only "unknown". He must conclude. And when forced to conclude without evidence, people lean towards safety: over-praise or over-criticism, rarely "I don't know yet".

This is especially true in major tournament seasons. A short tournament compresses everything: young players get three weeks to prove themselves, and the market gets three weeks to manufacture legends from three matches. Based on my experience tracking matches, I once watched a young midfielder excel in the first two games of an international tournament and then fade completely across the next three. The media summary remembered only the first two. That is how a distorted data sample becomes a transfer fee.

I have seen the consequences of this in my own data. When I went back through old scouting reports to compare them with each player's actual career, a pattern emerged clearly. Players rated "low risk" usually fell into two groups: those with full, stable data, and those with almost no data. Both groups were given the same safe label, but for entirely opposite reasons. The first group was trusted because of evidence. The second was trusted because there was no evidence to doubt it. That is a logical error dressed in statistical clothing, and it has quietly shaped more transfer decisions than any glossy report.

A wrong report is like a shard of broken pottery: handled carelessly, it cuts the hand of the person who wrote it. I was cut once with Foden, and that scar is why I built a two-way note system: current data placed beside development potential, rather than replacing it.

There is a paradox I rarely see anyone in the industry admit. The scouting market does not reward caution; it rewards decisiveness. A report that says "this player has potential but I need twelve more months of data" is harder to sell than one that says "this player will be a star". Clubs want answers, not questions. Data providers want to sell completeness, not emptiness.

The result is that the whole system tilts towards producing false signals, unconsciously. No one deliberately fabricates. But everyone is pushed towards having to conclude. And in that environment, an empty report filled with optimistic belief looks exactly like a full one. Looking back at my Foden mistake of 2026, I recognise it belongs to the same family: it wasn't that I lacked data, it was that I let the data I had override the data I lacked.

The irony is that the big transfer races amplify the problem further. When two giants compete for a name, the pressure to conclude spikes. No one wants to be the first to say "we don't have enough data", because it sounds like weakness. So thin reports are inflated into expensive gambles, and the genuinely smart deals sit at smaller clubs, where people are willing to read the gaps carefully instead of filling them.

The pandemic was a layer of sediment: it buried the pretenders and exposed the skeleton of the truth. Clubs that lived on glossy reports without underlying data were laid bare during six months without football. Clubs that patiently built data across multiple seasons held firm, sometimes precisely because they were willing to say what they did not know.

I no longer believe a good report is a report full of figures. A good report is one that tells the truth about what it does not know. My job is to read back. Before writing about the future, read it back once more today. Every time I read back, I force myself to name the empty cells before I name the player, because if they are left blank and unspoken, they will fill themselves with the most dangerous thing of all: confidence without foundation.

Before writing the name of a star, I must strip away a thick layer of soil called hype. But before the star itself, I must strip away another layer, colder: the layer of data that never existed. The question I leave for myself, and for anyone holding an empty report: are you seeing safety, or are you seeing silence?