The Nine Layers of Football Analysis — and the Trap of Filling Every Box

The Nine Layers of Football Analysis — and the Trap of Filling Every Box

In March 2026, the gates of the Paris FC training ground closed. No ball, no whistle, no studs scraping the turf. In a small flat in the 13th arrondissement, I sat in front of a screen with the full video archive of the club's 38 matches from the 2026-2026 season, handed over by the coaching staff. Four months. Watch, pause, note, rewatch. By late June I had one number capable of changing a season: 18 of Paris FC's 25 goals conceded — 72% — came from counterattacks after the right-back pushed too far beyond the halfway line. Thirty pages were born from that. Thirty pages save nobody, but the person who reads them is the one who keeps the beat. When Ligue 2 resumed, the team won six straight.

What I want to talk about today sits in a different corner. If I had filled the blanks in those thirty pages with numbers I did not have, the whole report would have become a debt nobody could pay. The line between analysis and invention is far thinner than people assume, and in football it is thinnest exactly where the industry calls something a "deep report".

Context: as data multiplied, discipline thinned

Over the past fifteen years, football writing has changed faster than in any previous decade. Matches are event-tagged second by second, every shot carries a probability of becoming a goal, every pass carries a quantified value. A player can be assessed through hundreds of metrics before anyone watches him run a lap.

xG, short for Expected Goals, is a model that estimates the likelihood a shot becomes a goal based on position, angle, shot type and the context before it. PPDA, short for Passes allowed Per Defensive Action, counts how many passes the opponent is allowed before your team makes a defensive action — lower means more aggressive pressing. A squad depth metric, such as VangBong.vn's Player Depth Index, measures the quality of backup options in each position. It sounds scientific. It is scientific — until someone uses it to fill a gap that should honestly have been labelled "unknown".

I have tracked matches in Ligue 1 and Ligue 2 across many seasons. In that time I noticed a paradox: the more data available, the less willing writers are to say "I have no numbers". Beautiful tables create pressure to fill them in. A report with empty boxes looks like a formatting failure rather than an honest act.

In 2026, aged 47, I travelled to Russia with the French national team on a press credential. One evening after the quarter-final, in the stadium tunnel, Mathis Diallo — my former 17-year-old student at the Paris FC academy, brought along to train with the senior squad as an apprentice — whispered that Didier Deschamps would switch from a 4-2-3-1 to a 4-3-3 to neutralise Belgium's midfield. I wrote not a single line about it. France won 1-0, then won the tournament. Afterwards, the Paris FC head coach learned of it and began supplying me with exclusive information on the squad's injuries.

The lesson was not about keeping secrets. It was about carrying a piece of information I was not allowed to publish, and having to learn how to write without using it. My craft has since run on a list of things I know but cannot say, and another list — longer — of things I simply do not know.

From those two lists I built a nine-layer framework for every football analysis I write. The nine layers are not a ritual. They are nine questions, and each question has only three valid answers: we have data, we do not have enough data, we need further verification.

Layer one — tactics and technique

This is the layer everyone thinks they understand. A starting formation is a snapshot of a single moment; what matters is how the shape deforms when the ball is lost. A side nominally in a 4-2-3-1 may become a 3-2-5 in possession and a 4-4-2 out of it. If an analysis only says "Team A plays a 4-2-3-1", it has said nothing.

I measure three things here. First, the sharpness of the idea: does the team have a clear concept or is it merely reacting. Second, execution quality: process metrics such as xG, PPDA and final-third pass accuracy. Third, personnel fit: does the idea match the people available.

In 2026 I watched a Paris FC U17 friendly and counted 47 accurate passes out of 54 from Mathis Diallo, plus 9 successful tackles. An 87% completion rate for a 16-year-old central midfielder of Malian descent is not a number that speaks about the future. It only says that at 16 he could hold the beat inside chaos. That rough gem did not glitter, but I knew I was looking at something that was breathing.

What I did not write in the 12,000-word blog post from that year: he was not certain to become a professional. Layer one cannot answer that question. No layer can.

Layer two — club finance and the transfer market

Transfer season is the season of noise. Hundreds of rumours appear daily, and most are designed to apply pressure on one of three parties: the selling club, the buying club, or the player himself.

The most effective filter I learned is not about sources but about money structure. A credible transfer is described by a fixed fee, performance add-ons, contract length, salary and annual wage amortisation. When an article gives only "a transfer fee of X million euros" with no structure, the odds that number has been inflated are very high. The industry has a term for paying above a player's fair value under public pressure: the panic premium.

In this layer I always separate four lines: broadcast revenue, commercial revenue, wage bill and net debt. One club can spend heavily and stay healthy if commercial revenue grows in step. Another can spend modestly and already be at its financial ceiling if wages consume 85% of revenue. No two clubs are alike, so any comparison must state plainly who is being compared with whom.

One thing worth noting: most transfer articles in Vietnam and Asia recycle figures from Transfermarkt — a community- and editor-sourced database of estimated market values. That is a legitimate reference tool, but it is an estimate, not a transaction price. Treating the two as the same is the most common layer-two error.

Layer three — results and the opinion cycle

The league table does not lie, but it does not tell the whole story either. A team can win four in a row while posting a lower expected-goals figure than its opponent in all four. Another can lose three while process data shows it played better.

The analyst's job is to find the divergence between process and results, then ask which part of the current run is unsustainable. An unusually high conversion rate will cool. An unusually high goalkeeper save rate will too. Conversely, a losing streak may simply be the consequence of a brutal fixture list.

Alongside that sits the opinion cycle. In France, a Ligue 2 manager typically has about eight matchdays before the press starts asking about his seat. Pressure does not come from the table but from the gap between the board's expectations and the actual position. I always state the source of pressure — fans, media or internal — because those three lead to three different outcomes.

Layer four — league landscape and club positioning

A match only means something once placed on the league map. In Ligue 2, the gap between the promotion group and the relegation group is usually about 20 points over 38 rounds. In the Premier League it is far wider. The same 1-1 can be a failure for a title contender and a success for a team sitting 16th.

I build a four-tier map: title contenders, European places, mid-table, relegation. Then I place the club under analysis in its correct tier and compare resources with direct rivals: squad value, financial power, academy output.

Talent flow is the most easily missed part. A mid-tier French club always lives with the fear of losing young players to bigger clubs. In 2026 Paris FC nearly lost Mathis Diallo to a larger academy in northern France. What kept him was not money but a clear playing pathway mapped out season by season. That was a positioning decision, not a financial one.

Layer five — rules and governance

This is the driest layer and the one that makes the most analyses badly wrong. UEFA's Financial Fair Play, or FFP, limits club losses and requires break-even compliance. In England the equivalent is PSR — Profit and Sustainability Rules — with points deductions already applied as precedent.

Here I check four items: FFP or PSR compliance, transfer registration rules, active disciplinary sanctions and competition eligibility. Three practices deserve particular attention: approaching a contracted player without the parent club's permission, known as tapping-up; third-party ownership of a player's economic rights, known as TPO, banned by FIFA; and rules on the transfer of minors.

An analysis that skips this layer can still be tactically correct, but it will miss the biggest risk to a club's fate: administrative risk. In France, a club can lose its league place on paperwork faster than on performance.

Layer six — management and the dressing room

No metric measures a dressing room. But traces can be read.

I learned to listen for three things. First, how a manager speaks about a player in a press conference: does he name him as part of the system, or as a stopgap. Second, who the real spokesperson in the squad is — the player others look to when a match gets tight. Third, the age structure: a squad with three players over 33 and seven under 21 is in transition, and transition always produces cracks invisible on the table.

At Paris FC, 2026 to 2026 was a silent transition. The 2026 core gradually lost its place to the younger generation, and what kept the team upright was not tactics but a group of three players aged 28 to 30 who accepted reduced minutes to mentor the next cohort. No metric records that. It decided the season.

Inside the stadium tunnel, the noise cuts out. Only the heartbeat of the match remains. And that heartbeat is usually kept by the men who do not score.

Layer seven — the risk profile

A serious analysis must answer: if everything goes wrong, what does the club lose?

I split risk into six groups: sporting, financial, personnel, regulatory, reputational and systemic. For each I record level, likelihood, impact and mitigation. No box may be left blank by guessing.

There is one risk type I once missed and paid for. In 2026, the club I was tracking had three key players all out of contract the following June. I flagged the sporting risk of losing them. What I failed to see was the systemic risk: if all three left at once, the wage structure would have to be rebuilt from scratch and every subsequent recruitment plan would depend on who could be retained. Systemic risk does not sit with one player. It sits in the shape of the entire squad.

Layer eight — media narrative and expectations

This is the layer where I, as a writer, am part of the problem rather than standing outside it.

Every media story has a heat cycle: ignition, peak, cooling, extinction. The analyst's job is to locate the story in that cycle and check whether it has a data foundation. A story built on three matches has too small a sample. A story built on three seasons is verifiable.

I also grade sources in three tiers: authoritative, general, low quality. Transfer news from an authoritative source usually appears after the two clubs have met. News from a low-quality source usually appears days earlier and is typically pushed out by an agent to create a market.

One line I always remind myself of: a source is not evidence, a source is a claim. Evidence is money, a contract, a signature.

Layer nine — industry transmission

The final layer is the one almost nobody writes, because it never appears in a scoreline.

The transmission chain runs from upstream to downstream: academies and talent supply, clubs and competitions, then broadcasting rights, commercial markets, capital networks and finally the national-team ecosystem.

A shock at the academy layer may take five years to surface at the national-team layer. In 2026, when I wrote about the Paris FC academy, nobody cared. Four years later, two of its graduates appeared on a Ligue 1 bench.

This layer demands the most data and is the easiest to fabricate. An article about "scouting networks in developing countries" easily slides into two extremes. The first treats it as a fairytale of discovering genius. The second treats it as a crime. The truth sits in between and is always uncomfortable: such networks both find real talent and manufacture football lottery tickets, and they leave broken families behind when the ticket does not win.

I once sat with a family in the Paris suburbs, parents who had brought their 14-year-old son from West Africa hoping for an academy place. The boy had quality. He had no nationality, no legal representative and no fallback plan. No metric measures that story.

The contrarian angle: the trap of an empty report

Here I must say plainly what few in the trade want to say.

There are moments when a deep report simply cannot be produced. Not because the writer is lazy, but because the input data is empty. No headline, no source, not a single information point. In that situation exactly three behaviours are permitted: state clearly that there is insufficient information, request a re-run of the process, and mark the document void.

The fourth behaviour — the one the market rewards — is filling every box. Invent a team name. Invent a fee. Invent a tactical scheme that sounds convincing. Invent an xG figure that looks specific. Tables full to the brim. Readers have no way to distinguish a sourced detail from an invented one.

This is the biggest blind spot of modern football analysis. The industry has learned to demand accuracy in the output, but it has not learned to demand honesty in the input. A piece with twelve charts and three false judgments will be shared far more widely than a piece with three charts and one sentence saying "I don't know".

That leads to a paradox of value.

We are teaching a generation of writers that having no conclusion is failure. But in football, most of the time the writer genuinely has no conclusion. A single match often contains three or four hypotheses that are simultaneously true. A single transfer often has at least two versions of the truth. A single season is often decided by things that cannot be measured.

The best analyst is not the one who delivers the most conclusions. The best analyst is the one who knows precisely what he is missing, and says so without fearing for his reputation.

The training ground does not lie. It only waits for someone who knows how to listen. And a recorder left beside a blank notebook produces no data. It produces only silence.

Closing: a thought moving forward

If you are reading a football analysis and every box is full, start doubting. No honest analysis is full. My 30-page report from 2026 had four pages of conclusions and 26 pages of notes on what I could not verify. Those 26 pages are precisely what made the four credible.

For fans in Vietnam this has a concrete meaning: this transfer window, every time you read a transfer fee, ask where the number came from, who said it, when, and to what end. Three seconds of that question will filter out most of the junk. And if an article states plainly that it does not yet have enough information to conclude, read it before the rest.

Data saves nobody. The reader of data is the one who keeps the beat.