The Blank Report: Nine Strata of Football Scouting and the Discipline of Saying “Not Enough”

A Blank Page in Manchester

In November 2026, a forty-page file arrived in my mailbox in Manchester from the academy of a Championship club. The final page, the recommendations section, was empty. Not a single line. The analyst who wrote it, a twenty-seven-year-old I had met on a course at St George's Park, left a small note in the margin: “This season I watched eight full matches, three of them with the player coming off the bench. I am not writing a name in that box.”

I read that file three times in one morning. The technical section was excellent: body position on receiving, hip orientation, second-touch rhythm, the habit of scanning before the ball arrives. The physical data was complete: distance covered, accelerations, sprint counts. There was even a comparison table against two players of the same age in the same division. And the final page was blank.

Over sixteen years in this trade I have read thousands of scouting reports. Almost all of them conclude. Many of them are correct about the present and meaningless about the future. The file with the blank last page was the most honest document I received all year.

In this profession, the hardest thing to write is not a sharp judgement. The hardest thing to write is an empty space that is correctly labelled.

Why a blank report is so rare

A scouting report is a commercial product. It has a client, a deadline, a reader, and a final column that every club wants to see: the recommendation. Buy, keep tracking, or reject. Three options. There is no fourth box saying “not enough data to choose”.

That incentive structure produces a very specific professional habit. When you are paid to conclude, you conclude. When you are judged on the number of completed reports, you complete them. And when the last page of your report is blank, you will be asked a question no analyst wants to hear: “So what were you doing for two months?”

I know the correct answer to that question, and I also know it sounds terrible. The correct answer is: I established that the eight matches I watched were not enough to distinguish an average player from a good one. That is a scientific conclusion. It is also a conclusion that costs you a contract.

The youth football industry runs on a paradox. It needs predictions, but the data required to make them is almost always missing. An under-18 player in England's lower divisions might play twenty matches a season, seventy minutes each, against opponents of wildly uneven quality. From that sample, people write a name. I used to do exactly that. And I used to be wrong.

A note on a sixteen-year-old boy

In September 2026 I was an assistant analyst at the academy of a large club in Manchester. I was assigned to monitor a sixteen-year-old midfielder in an under-19 friendly. I wrote twelve pages. My conclusion fitted into one sentence: this player lacks the pace and the physique to play elite football.

Three months later that boy was promoted to the first team. On 21 November 2026 he came off the bench in a Champions League match at the Etihad. His name was Phil Foden.

What I got wrong was not a number. Foden's pace at that age genuinely did not stand out against midfielders of his academy cohort. What I got wrong was that I measured one thing and believed I had measured everything. I measured acceleration and height. I did not measure the ability to scan before receiving, the rhythm of the second touch, or the capacity to receive on the half-turn under pressure. Those things were not in my data table in September 2026, and I behaved as though their absence was evidence of the absence of talent.

The gravest error in scouting is not misreading data. It is treating missing data as a result.

From that point I built a two-column system. Every player has two columns: current data and development potential. The second column always contains at least one empty cell, and that cell must be filled with a specific question: what further data do I need in order to answer this question?

The conversation in Kazan, and a false memory

In June 2026 I was sent to Russia as an observer for a newly launched sports outlet. On 30 June 2026, France played Argentina in the round of sixteen. I was standing in a corridor after the match when I overheard two German scouts discussing Kylian Mbappé, then nineteen. They said he ran fast but could not sustain his level across ninety minutes.

I wrote a two-thousand-word rebuttal criticising their lack of long-horizon data. A commissioning editor at The Athletic noticed the piece, which began my collaboration with the paper.

Years later, rereading the old draft, I found a detail that made me stop. I had written that I was standing at Luzhniki. France against Argentina was played in Kazan. My memory had quietly inserted a bigger stadium into a more important event. Nobody noticed, including me, for six years.

The detail was harmless. But it taught me something that became a pillar of my method: the observer's memory is a dirty data source. It tends to beautify the event, tidy the narrative and brighten the narrator. If I could misname a stadium without knowing it, then any description without original notes has to be flagged as suspect.

One detail from that match is worth recording, and it was not in my notebook but in the official match record: Mbappé became the first teenager since Pelé in 2026 to score twice in a World Cup match. That is the kind of fact with a traceable source, capable of being cited and re-verified years later. It is worth more than every emotional line I wrote in those two thousand words.

Four years later, on 18 December 2026, Mbappé scored three goals in the World Cup final in Lusail. The first hat-trick in a World Cup final since 2026. The two German scouts in the Kazan corridor were wrong, but not because they were stupid. They were wrong because they took a ninety-minute observation and assigned it the value of a multi-year forecast.

Nine strata of an excavation

In March 2026 the Premier League was suspended. I lost my contract. During six months without football I sat at home and built a scoring system for young players, based on ten criteria stable across three consecutive seasons. I called it the Youth Impact Index.

The most important thing that system taught me was not how to score. It was how to layer. A young player does not exist in a vacuum. He exists simultaneously across nine strata, and each layer can be left blank in its own way. When a report delivers a firm conclusion while seven of nine layers are empty, that conclusion is not strong. It only sounds strong.

I call those nine layers the excavation strata: tactics and technique; club finance and the transfer market; results and the public-opinion cycle; league context and team positioning; rules and compliance; management and the dressing room; risk profile; media and expectation; and finally the industry transmission chain.

When football returned in June 2026, clubs had lost almost an entire season of data from cancelled youth competitions. They started looking for people with a method. Huddersfield Town paid fifteen thousand pounds for a report of mine on five Brentford youngsters. The sum was not large. But it taught me that value in this trade lies not in how loudly you speak but in whether you can point to what you do not yet know.

Stratum one: tactics and technique

This is the layer everyone assumes is easiest, and in practice it is the most misread. The problem is that people take an execution metric and read it as a quality metric.

The clearest example I still remember is Spain against Morocco in the World Cup round of sixteen on 6 December 2026 at Education City. Spain had over 77 per cent possession, completed more than a thousand passes, and went out on penalties after a 0-0 draw across 120 minutes. Morocco advanced.

If you read only the possession column, you conclude Spain dominated. If you read one layer deeper — passes into the final third played forward — you get a different story. If you read a further layer — touches inside the opposition penalty area — the story flips entirely. And if you read the last layer — shots on target — you understand why a team with so much of the ball scored no goals.

Possession is a metric of control, not of danger creation. Blending the two is the most common analytical error at the tactical stratum.

With young players the problem is worse. At under-18 level a player can score twenty goals in a season simply by playing for the strongest team in the division. When he moves to a weaker side or steps up a level, the goals vanish and people say he has lost form. He has not lost form. The context that supplied him with the ball has disappeared.

That is why I always record two families of metrics. The first depends on context: goals, assists, key passes. The second depends on it far less: receptions on the half-turn, forward passing rate under pressure, scans before receiving. The second family is harder to measure, more time-consuming, and more stable across seasons.

Stratum two: club finance and the transfer market

Here, empty space usually appears as a number detached from its structure. A transfer fee means nothing without contract length, wages, instalment structure and replacement value.

The case study I use most when teaching young analysts is Moisés Caicedo. Brentford brought him from Independiente del Valle in February 2026 for a fee reported in the English press at around 4.5 million pounds. On 14 August 2026 Chelsea signed him for 115 million pounds, at that moment the highest fee ever paid for a player in the Premier League.

The 115 million figure is the one everybody remembers. But if that is all you remember, you have skipped the most interesting part. Brentford did not sell a good player. They sold a good player inside a system that had already proved it could reproduce: Ollie Watkins to Aston Villa, Neal Maupay to Brighton, Saïd Benrahma to West Ham, and more after that. Each sale did not remove a position. It replaced a lung.

This is where I place my professional bet, and it runs against the common instinct: the transfer arms race between the giants is largely a brand arms race, while the genuinely valuable deals usually sit at small clubs. A big club buying an eighty-million-pound player pays an invisible premium for having its name in the headline. A small club buying the same player at a different point on the career curve pays for ability, not for aura.

It is also why I decline to write reports on players whose market value already exceeds forty million pounds. In that bracket I am no longer supplying information. I am supplying confirmation.

Stratum three: results and the public-opinion cycle

In 2026-16 Leicester City won the Premier League with 81 points, ten clear of second place, having started the season at odds of 5,000-1 with some bookmakers. It was the season in which almost every forecasting model failed, and also the season in which analysts learned an uncomfortable lesson: a result may not repeat, but it still happened.

The interesting part is the following season. Leicester finished twelfth, and sacked their title-winning manager the season after that. Their underlying numbers were never those of a champion side. But they were champions.

At this stratum I always check three things before judging a team. First, the gap between process metrics and results — what exactly is this team winning with. Second, sample size — how long is that run. Third, fixture quality — how good were the opponents in that run.

With young players this layer is usually ignored entirely. An eighteen-year-old striker scoring four goals in three matches gets a front page. Nobody checks where those three opponents sit in the youth league table, or whether their goalkeeper is the third-choice keeper.

Stratum four: league context and team positioning

A player does not play for a club alone. He plays for a club at a specific position in the stratification of its league, and that position determines the kind of data he will generate.

Brentford were promoted to the Premier League in 2026 and stayed there on one of the lowest wage bills in the division. In that context, one of their attackers will get fewer touches than an attacker at a side in the European places. Judge a Brentford attacker by touches in the box and you conclude he is poor. Judge him by output per touch in the box and you conclude the opposite.

The same player in two different resource contexts produces two entirely different players in the data table. A report without a positioning section is a report without foundations.

When I produced that report for Huddersfield Town on five Brentford youngsters, the longest section was not the description of each player. It was the description of the system that had raised them: shape, ball circulation, the decisions they were encouraged to make. Those five could only be understood as five products of one production line.

Stratum five: rules and compliance

This is the layer an ordinary analyst rarely touches, which is precisely why it is often where the largest risk grows unnoticed.

English football in recent years offers a clear sequence of facts to learn from. In February 2026 the Premier League announced more than a hundred charges of financial rule breaches against a major club. In November 2026 Everton were deducted ten points for breaching profitability and sustainability rules, a sanction reduced to six points on appeal in February 2026. In March 2026 Nottingham Forest were deducted four points under the same rules.

For young players this layer appears in a different form, but its effect is no smaller. There are limits on the number of registered players, eligibility rules, and the terms under which a senior club may release a young player to a lower-division side. A talent can be frozen out not because he is not good enough, but because of a line in a regulation.

Stratum six: management and the dressing room

At this layer I am not looking for internal gossip. I am looking for structural continuity.

Chelsea are the clearest example this decade of a club burning through structure faster than it can rebuild it. After the ownership change in May 2026, the club replaced its head coach in September 2026, appointed a new one the same month, installed an interim in April 2026, appointed another in summer 2026, and changed again in summer 2026. Five seasons, five different coaching structures.

For a nineteen-year-old looking for minutes, that is an almost unreadable environment. The person who decided to loan him out in August may not be at the club in February. The coach who believes in the player profile he represents may be replaced by one who believes in the opposite.

That is why every report I write on a young player seeking a pathway includes a section naming the decision-makers and the length of their contracts. Without it, career advice is baseless advice.

Stratum seven: risk profile

I keep my own injury watchlist. It is not a list of injury-prone players. It is a list of players on whom their clubs depend so heavily that an individual injury becomes a collective one.

The cleanest example of the principle is Rodri at Manchester City. On 22 September 2026 he ruptured his anterior cruciate ligament against Arsenal and missed the rest of the season. That season his club went through one of its worst runs since Pep Guardiola took charge. The cause of that run was not one player. But its trigger was.

For young players the risk layer has a dimension reports routinely omit: workload. A seventeen-year-old promoted to the first team while still playing for the under-18 side and still training with the seniors accumulates minutes and sessions at a level his body was not built for. Reports that leave the workload column blank are usually the prettiest and the most dangerous reports.

Stratum eight: media and expectation

Here I do something very concrete: I measure the gap between market expectation and objective assessment, then track that gap like a match.

The Kylian Mbappé transfer saga ran from 2026 until 3 June 2026, when Real Madrid announced his signing. Across that period, the volume of articles produced on the topic exceeded the number of matches he played. And for most of that period, no genuinely new fact appeared.

The media heat cycle does not run on data. It runs on the emotional demand of the audience. The analyst's obligation is not to add fuel to a cycle that contains no data.

With young players this layer works in reverse. A sixteen-year-old scores a beautiful goal and gets a three-day heat cycle, during which more is written about him than was ever observed. Then the heat dies, and he disappears from the map until the next moment.

On 30 June 2026 I wrote two thousand words attacking two German scouts. I still think their conclusion was wrong. But today I would not write that piece in that way. I would write a record of Mbappé's stable metrics across three seasons, with a column stating clearly what I could not measure. A column that runs against the excitement.

Stratum nine: the industry transmission chain

The final layer is the one most reports skip, because it is not about a player. It is about flow.

England's major academies have turned development into a revenue stream this decade. A club can sell its academy players to lower-division or continental clubs, and that money helps fund its own academy operations. In some seasons, academy transfer revenue at a major club exceeds the entire running cost of its academy over the same period.

This produces a consequence few discuss. Once academy players become an asset class, the evaluation criterion shifts from “can he become a first-team player” to “can he become a line item on the balance sheet”. Those two questions produce different answers, and the person writing the report is rarely told which question they are answering.

One case I track: Romeo Lavia left the Manchester City academy for Southampton in 2026, then joined Chelsea in August 2026. Cole Palmer left the same academy for Chelsea in September 2026. Two players, two periods, one production line. When you assess a seventeen-year-old inside that pipeline, you are assessing a talent and an asset at the same time. If you do not separate the two, you will not know what you are talking about.

The contrarian angle: the shield called “not enough data”

I have spent most of this piece defending empty space. Now I have to say the harder part.

A blank final page can be the most honest act in this trade, and it can also be the most shameful hiding place. Two reports can look identical on paper and be entirely different in nature: one is blank because the author has established that with the available sample, no valid conclusion exists; the other is blank because the author was lazy, watched too little, and camouflaged laziness in scientific language.

The difference between the two lies in a single detail. The honest report states exactly what would change its conclusion. The lazy report states nothing at all.

An honest empty space always comes with a condition attached. A lazy empty space comes only with silence.

The twenty-seven-year-old Championship analyst I mentioned at the start wrote it correctly. He specified how many more matches, how many more minutes, which type of opponent, and which additional metrics. That is a structured empty space. A blank report that is full.

I once wrote a report that was wrong in the opposite direction. My September 2026 note on Phil Foden was not blank in its conclusion. It was overflowing with confidence. My mistake was not a lack of data. My mistake was failing to notice that I lacked data.

I later wrote a public five-thousand-word letter admitting errors in some of my earlier conclusions. That letter saved nobody's career. But it saved me from my own arrogance, which is why I put it at the start of every talk I give to young analysts.

Why this industry does not reward honesty

I need to be blunt about the structure of the industry, because without that, everything above sounds like a moral lecture. It is not a moral lecture. It is an analysis of incentives.

A club paying for a scouting report is not buying information. It is buying uncertainty reduction. The decision-maker needs a reason to justify a multi-million-pound outlay to the board and to the supporters. A report saying “this player is good” supplies that justification. A report saying “we do not know yet” supplies nothing, even when it is correct.

That structure does not disappear when you write for the public. It strengthens. Readers do not seek accuracy. They seek certainty, because certainty is easier to digest.

The only way I have found to survive inside that structure is to change what I sell. I do not sell conclusions. I sell methodology. A club may not want to hear that I do not know. But it will want to hear that I know precisely what I do not know, what I need in order to know it, and how long it will take. That is a different product. It is drier, longer, less shareable. And it is the only thing I can sign my name to without writing an apology three years later.

Three dimensions of an empty space

After many years I classify the blank spaces in reports into three types, each requiring different handling.

The first is a sample gap. You have not watched enough matches. The fix is to state the number of matches, minutes and opponents. This is the easiest type to handle; it only requires discipline.

The second is a measurement gap. You have watched enough matches but you lack the tools to measure what needs measuring. The fix is to state the limits of the tool and propose an alternative, with its cost. This is the type most reports conceal, because admitting it requires saying out loud that you are using the wrong instrument.

The third is a conceptual gap. You do not know what you need to measure. This is the most dangerous type, and the only one that cannot be solved by discipline or budget. It can only be solved by time, and by rereading.

The third type is what I ran into in September 2026 with Phil Foden. I was not short of physical data. I was short of a concept for what I needed to measure. It took years, and a five-thousand-word letter, before I understood that.

What stands after the aura is stripped away

In this trade I have learned that most of what is written about young talent is topsoil. It is made of beautiful moments, goals captured in highlight reels, praise repeated often enough to become fact.

Beneath that soil lie slower and less visible things: training hours, the quality of the coach, the structure of the academy, workload, the stability of the coaching staff, and unglamorous metrics such as the forward passing rate under pressure.

At an academy, everyone sees the goal. Few see the Tuesday morning at seven o'clock.

What stands after the aura is stripped away is almost always something that can be measured again. A metric that can be measured again is a metric that can be challenged, and a metric that can be challenged is more trustworthy than a judgement that cannot be challenged.

That is also why I always record the date of measurement in my files. A figure from October 2026 is no longer the figure of March 2026. Players mature, systems change, leagues shift. A report without a measurement date has no expiry, and a report with no expiry can never be verified as right or wrong.

On goalkeepers, on the market, and on two of my biases

There are two professional positions I carry into almost every piece, and I should state them clearly here because they shape which case studies I choose.

The first concerns the goalkeeper position. Over the past decade the game has sanctified goalkeeping distribution to the point where a keeper with good feet but declining basic shot-stopping can still hold a high transfer value. The data to test this sits in the gap between goals conceded and post-shot expected goals conceded — a metric far less likely to make a headline than pass completion. When a keeper is bought for his feet, the buyer is usually buying a skill that is more visible and more marketable than the core competence of the position.

The second concerns the transfer market, and I have set it out above: real value sits at small clubs, while the race between the giants is largely a brand race. Neither position is stated directly in my scouting reports. They appear indirectly, through which players I choose to write about and which numbers I choose to place first.

Rereading before writing

My trade is rereading. Before writing about the future, I reread what happened today one more time.

In November 2026 I received a forty-page file with a blank final page. I sent the author a message. In it, I did not praise him. I asked three questions: what would change your conclusion; how long would it take to obtain that; and who pays for that time.

He answered all three. It was a perfect blank report, and the most complete report I received that year.

The football industry does not lack conclusions. It lacks conclusions that can survive three years. And if you ask me what the most valuable asset in this trade is, I will not say a contact network, nor data access, nor years of experience. It is the ability to stand in front of a week stuffed with the goals of a seventeen-year-old, and write into the conclusion column a sentence nobody wants to read.

Not enough data. With conditions attached.