Nine Layers of Data and a Single N/A: How Football Writing Learns to Stay Silent at the Right Moment

At minute 62 of the match at Kazan Arena, the ball was in Spain's net. The Iranian stands erupted into a single roar — the roar of a nation holding a ticket to the next round. Then the assistant referee raised his flag. Offside. The roar died as if strangled, and the remaining twenty-eight minutes passed in the silence of a team that had thrown all of its miracle into one moment that was taken away.

I was sitting in row eleven of the press tribune, laptop glowing, with a headline typed three hours before kick-off: "Iran's concrete defence holds firm against Spain." My finger rested on the key. I had not pressed send. I waited.

Eight minutes earlier, Diego Costa had scored the opener with a movement I had watched hundreds of times and still refused to write down: he cut across the centre-back, slipped into the gap between the two central defenders, and met the pass at the exact spot no defender wanted to occupy. The goal did not come from strength. It came from geometry.

The match ended 1-0 to Spain. Iran were eliminated. And in the nine-row spreadsheet I had built that morning, the second row remained completely empty, because I had no figure whatsoever on Iran's budget, wage bill or contract structure. I typed two characters into it: N/A.

Three years later, I understood that those two characters were the most honest thing I wrote in the whole of June 2026.

Context: an industry writing about things it does not have

Football commentary in Europe today runs on a paradox. There has never been more data. Opta records every pass, every duel, every metre of movement. StatsBomb opened the era of xG. Transfermarkt prices players through community algorithms. Clubs hire entire data science departments, and leagues publish financial reports as thick as almanacs.

But there has also never been more writing produced with not a single line of data inside it. Every day I read dozens of articles about big matches, and most are assembled from three ingredients: a feeling, a line from a press conference, and a goal chart that says nothing.

In the newsrooms where I have worked, people build multi-layer analytical frameworks. I call them the nine layers of data. The first asks about tactics and technique. The second about club finance and the transfer market. The third about results and the opinion cycle. The fourth about league landscape and team positioning. The fifth about rules and governance. The sixth about the coaching staff and the dressing room. The seventh about the risk profile. The eighth about media narrative and expectations. The ninth about how the whole industry transmits.

A proper analysis must pass through all nine. Not because newsrooms love tables, but because each layer is a safety catch. When layer one fails, layer four can save you. When layer seven collapses, layer nine still stands. And when a layer has no data, the correct professional act is to write the two characters nobody wants to write: N/A.

I learned this trade the other way round. In 2026, Manchester City signed Kyle Walker from Tottenham for a reported fee of around £50m, made up of £45m up front and £5m in add-ons. I wrote a piece headlined "Walker at £50m — has Pep lost his mind?", arguing that using an attacking full-back so high would shred the defence in the derby. I bet my editor that City would lose at least three home games in the first half of the season.

They lost exactly one home game all season, the derby on 7 April 2026, going down 3-2 to Manchester United. They won the title with 100 points, scoring 106 goals and conceding 27. Walker contributed six Premier League assists and became the template every English club copied for the next five years.

People laughed at me over Walker. Three years later, they laughed until they cried over the price of defenders.

The cost of that article was not a wrong headline. The cost was that I built a tactical argument on sand and presented it as a scientific conclusion. I had no data on how often Walker moved into the space behind the opposition midfield. I had no data on how many long passes City switched to the right flank after half-time. I had a feeling, and I called that feeling analysis.

After that failure I re-watched all of Walker's footage across fifteen matches, counted by hand how often he appeared in the final thirty metres, and rewrote the old piece as a new one. My process changed: three cross-checked sources for every claim, and one N/A for every gap.

That is the nine layers. The rest of this piece walks through them, carrying the specific scars I still hold.

Layer one: tactics and technique

Tactics is the layer journalists love most and verify least, for a simple reason: tactical description sounds good. You can write "the team sat in a low block, ceded midfield and waited to counter" without a single number, and readers will nod.

But there is a vast distance between describing how a team looks and proving it works. Proving it requires process data: xG, passes allowed per defensive action, long-ball share, the height of the defensive line in metres, how often a player receives between the lines.

Iran against Spain was my lesson in that distance. I watched Iran build a five-man block that collapsed towards the box, and to my eye it was concrete. But a block only holds when the midfield ahead of it can shuffle laterally fast enough to close the vertical passing lanes. Iran did not have that stamina or that shuffling speed for ninety minutes against a side passing more than seven hundred times a match.

Iran did not lose because of their defence. They lost because of the fear I could see before kick-off — the fear of being stretched, the fear of leaving position, and that fear cracked the concrete at minute fifty-four.

Since that day, whenever I am about to write the word "concrete", I force myself to hold two numbers: how many times the opponent entered the box, and how many passes pulled the defensive line out of shape. Without them, I write N/A.

Layer two: club finance and the transfer market

This is the layer the N/A in my 2026 spreadsheet belonged to. I did not know what the Iranian federation spent on the national team, how bonuses were structured, how long the coach's contract ran. I wrote about a team's tactics without knowing its wallet.

In Europe this layer has public data that few people read in full. A serious transfer analysis must answer three questions: is the fee reasonable against market valuations, over how many years does the contract structure spread the cost on the books, and does the deal push the club towards the profit and sustainability limit.

Chelsea is the example I use in every session with young reporters. Since the ownership change in 2026, the club has spent more than a billion pounds on transfers across a few successive windows, signing eight- and nine-year contracts with young players to amortise fees over long periods. That approach is legal within the permitted framework, and it turns a football problem into a problem of accounting horizons.

A journalist has no right to moralise about a number. A journalist has the right to ask: how many league points did this spending produce, and if the results do not come, who pays and with what.

I once wrote a long piece on a transfer without any wage data. My editor cut half of it and left one line: "You are writing a novel with player names in it." Since then my rule has been: no fee, no wage, no contract length, no concluding sentence.

Layer three: results and the opinion cycle

Results are the cheapest and most deceitful data. A team can win three in a row while playing badly, and lose three in a row while playing well. Amateurs read the results table. Professionals read process data and compare it with results, then hunt the divergence.

The divergence is the story. When a goalkeeper saves more than the model predicts over ten matches, that signals an unsustainable run. When a striker outscores his xG over half a season, that signals an attack living on moments. Not writing about it means waiting for reality to slap you in the face around matchday twenty.

Public opinion runs in a cycle much like a match: an emergence phase, an acceleration phase, a peak and a backlash. Good journalists do not chase the peak. They prepare the backlash piece before it arrives.

Manchester City in 2026-18 is the example. In the first ten rounds, the English media called their defence fragile. By round twenty, the same defence was called a system. No player transformed in that window. Only the reading of the data improved.

Layer four: league landscape and team positioning

No match exists alone. It exists inside a table, a fixture list, a stratified hierarchy of resources. The right question is not "is this team good or bad" but "which tier of the league is this team in, and what does that tier allow them to do".

In the Premier League, the squad-value gap between the Champions League group and the relegation group is often more than tenfold. That does not mean the lower group cannot win. It means their tactics must be built for one match, not for a season.

Leicester's 2026-16 title is the most quoted exception and the most misunderstood. They did not break the law of resources. They exploited a season in which the giants collapsed simultaneously, a defence that kept fifteen clean sheets, and a striker who scored twenty-four goals. It was a chain of conditions, not a replicable formula.

When writing about a mid-tier club, I always place two columns side by side: squad value and season target. If the target exceeds the squad value, I write about risk. If it falls short, I write about waste. A third column may be empty, and when it is, I write N/A.

Layer five: rules and governance

No layer causes more errors among football journalists than this one, because it demands legal knowledge most newsrooms do not have.

The Premier League's profit and sustainability rules are a system limiting losses over a three-year cycle. Everton were docked ten points in November 2026, reduced to six on appeal in February 2026. Nottingham Forest were docked four points in March 2026. Leicester escaped a charge by winning on a jurisdictional point.

Those three cases show something short pieces rarely spell out: most financial disputes are settled by interpreting the rules, not by measuring the spending. Whoever reads the rulebook more carefully wins, or loses less.

When I write about sanctions, I always prepare three scenarios: worst case, central case, optimistic case. The worst case shows what the club loses. The central case shows how it will appeal. The optimistic case shows why the club believes it is right. Those three scenarios stop me from declaring an outcome I cannot verify.

Layer six: the coaching staff and the dressing room

This is the layer with the least data and the most rumour. Nobody publishes an index of how satisfied a centre-back is with his manager. So the media fill that gap with anonymous sources, and anonymous sources are the kind of data that can be manufactured from nothing.

My professional approach here is to trust only signals observable with the eye: who sits next to whom on the bench, who runs over first after a goal, whether the manager makes his substitution at minute sixty even when his team is leading.

Power models in a dressing room tend to follow a familiar cycle in a coach's third season. Once the message has been delivered long enough, it starts losing effect, and any tension is amplified. Several big clubs have passed through that cycle in the past decade, and none of those failures came from pure tactics.

For rows with no data, I write N/A. For rows with observable signals, I describe the signal rather than judging the inner life.

Layer seven: the risk profile

Risk is the most neglected layer because it produces no attractive headline. A team can win a title with fourteen players, then lose everything the following season to a congested calendar, one cruciate injury and one expiring contract.

My risk matrix has six columns: sporting, financial, personnel, rules, public opinion and systemic. Each has a level, a likelihood, an impact and a mitigation. When a column is empty, I write N/A and tell readers explicitly that I lack the information to assess it.

At elite level, most collapses do not begin with a bad transfer decision. They begin with an injury in a position that has no replacement. That is the kind of risk you can predict in advance simply by counting how many players are good enough in each position.

Layer eight: media narrative and expectations

This is the layer I belong to, so I must check myself hardest here.

Media create expectations, and expectations become the yardstick for judging a team, even when the yardstick itself has no basis. A player bought for a high fee is judged by that fee rather than by the position he plays. A coach presented as a revolutionary is judged by the presentation rather than by results.

The correct analysis builds a comparison table: market expectation, objective assessment, the gap between them, and a judgment on which way the gap will move over time.

I lived inside that vortex for eleven years presenting a late-night football show. I know the feeling of standing in a studio, looking at the screen, and having to say the line the audience wants rather than the line the data permits. Fans are angry with me because I break their dreams. Dreams built from truth are the ones that last.

At forty-three, I still talk hot, but the fire has learned to wait.

Layer nine: industry transmission

The final layer asks about the big currents: how an event at one club ripples into academies, the agent ecosystem, the broadcasting rights market, investment funds, and derivative markets such as betting and esports.

A record transfer does not only change a squad. It sets a reference price for a whole generation of players in the same position. When a full-back is paid £50m, every full-back in Europe is revalued. That is why my 2026 headline was wrong on tactics but accidentally right on the market.

The industry is also watching a collision between traditional football and esports. The pitch and the esports stage share one law: whoever fakes it will be exposed. The difference is the speed of exposure. In esports, a mistake is found within seconds through public match data. In football, a journalist's mistake can live for ten years.

The contrarian angle: when N/A becomes a hiding place

This is the part where I must argue against myself, because I built the nine layers and I have also abused them.

There is a powerful temptation to write N/A. It makes a journalist look careful, scientific, humble. But sometimes it is only an evasion of responsibility. A piece that is eighty per cent blank cells and twenty per cent safe commentary is a useless piece disguised as caution.

The second danger is treating a lack of data as a lack of reality. No metric for dressing-room morale does not mean morale does not exist. No model for crowd pressure does not mean the crowd has no effect. A good journalist must distinguish "not yet measured" from "does not exist", and must say which side he is on.

The third danger is that rigid positivism turns writing into a spreadsheet. Football has its irrational part. A team can win because a thirty-four-year-old decides to run three extra metres at minute ninety. The data records those three metres but cannot explain why he ran.

I dissent not because I want to be different. I dissent because the majority has been wrong about me before — and when the majority is wrong, it does not write N/A, it keeps writing.

There is one more possibility I have to admit: these nine layers may be a product of European football, where data has been commercialised to an extreme. In football cultures with no analytics department and no public accounts, writers may have to work with their eyes and their memory — and sometimes they are more right. I am not certain my nine layers beat the twenty-year-honed instinct of a local reporter in Africa or South America.

What I am certain of is this: if I write a conclusion I have no source for, I must say so. That is the line between a journalist and a salesman.

What I carry forward

Since 2026 I have kept one rule: before typing a concluding sentence, I open the nine-row spreadsheet and check every row. Whichever row is empty, I write N/A and I print that word in the article. Readers have the right to know what I do not know.

That is why I believe that over the next eighteen months, the sports newsrooms that survive will be the ones that publish their empty cells. Fans are smart enough to see who is analysing and who is performing. And in a market where anyone can look up data in three seconds, the only thing that still holds credibility is honesty about what you do not know.

N/A is not a full stop. It is a promise that when I speak, I have checked.