Nine Boxes, Nine N/As: The Football Report With No Names In It

Nine Boxes, Nine N/As: The Football Report With No Names In It

Manchester, Tuesday, 11:40pm. The tea went cold an hour ago. My laptop pushed up a nine-part football analysis — tactics and technique, club finance and the transfer market, results and the public-opinion cycle, league geography, governance and sanctions, dressing-room health, a risk matrix, narrative temperature, industry money flow. Every cell carried the same four words: insufficient information.

No club. No player. No scoreline. No headline.

I have been watching football since before the backpass rule, and this still felt new. Everything in my trade rewards the opposite of this document. A pundit's job is to make the silence sound like a verdict.

What actually happened

Modern football journalism runs in two layers, and readers never see either. Stage one shreds an article into structure: title, source, numbered information points, entities, time sensitivity. Stage two takes those points and runs nine dimensions. The rule is hard: every conclusion must be tied to an information point.

That night stage one came back empty-handed. Zero information points, zero entities, source tier ungraded, time window unassessed. The only honest answer at stage two was to stop, print insufficient information in all nine boxes, and attach a warning: draw no conclusion about any team, player, coach or financial position from this document.

That refusal is almost unheard of in football media. In our business a vacuum never stays a vacuum. Journalists fill it with "sources understand", agents fill it with "interest", bookmakers fill it with a price, and I fill it with a headline. An empty cell is embarrassing in this trade, so we cover it.

The blank cell is the story

One line stopped me: "no risks identified" is a different sentence from "no risk exists." Between those two sentences sits the most dangerous distance in the football industry. No risk found and no evidence of risk sound identical on the ear and are worlds apart in the ledger.

I know this error from the bottom of the pyramid. Pull a lower-league scoresheet and you will find a team credited with zero shots on target. Is that number true? No. That zero is an unmarked gap — no camera, no data operator, no shot ever counted. The two look the same and mean different things. Bangladesh's domestic football does it daily: no camera, therefore no data, and later we dress the absence up as a bad performance.

The document's integrity sat right there. It said: yes, all nine boxes are empty, and I will not fill them for you.

My own offence is on record

September 2026, the Etihad. Manchester City 5-0 Liverpool, Sadio Mané sent off in the 37th minute. I left the press box and recorded six minutes of video: Pep's full-backs are not defenders, they are a 2-3-5 cheat code. Eighty thousand views overnight. I was proud, because the take had landed.

I never checked the xG before I hit upload. I filled a blank cell with adrenaline. The video was not entirely wrong — but the fact in it came from my chest, not from the data. That nerve is the life of my job and the disease of my job.

May 2026, an empty Signal Iduna Park. Borussia Dortmund 4-0 Schalke, with Erling Haaland and Jadon Sancho scoring. I announced that empty stadiums were the crowd's control group. A lovely theory. I forgot that Schalke were sinking in a relegation fight. That was another blank cell, and I filled it with a model.

The feed that cannot tell zero from unknown

This is where it turns to money. Live data no longer stops at a broadcaster's screen; it travels to markets, to bookmaker models, to in-play feeds. Those feeds do not hold zero and unknown in separate boxes — both drop into the same one. If an operator sits down for five minutes, that absence later prices a match as a zero. Nobody asks what happened in those five minutes.

The worst damage in sports data is not the wrong number. It is the unmarked absence. A wrong number at least starts an argument; a blank cell quietly becomes the truth.

One guardrail nobody installed

A pipeline needed a precondition: if the first cell is empty, stop, do not call the analysis. It had none, so a nine-chapter report got built that looks complete and is hollow. Recruitment desks are missing the same guardrail. January decisions get made on spreadsheets with three blank cells and no label anywhere reading insufficient information. In April we call the outcome bad luck. Numbers don't lie; they just change the volume of the truth, and the blank cell speaks at the lowest volume of all.

Where I could be wrong

Maybe the abstention is cowardice dressed as rigour. A scout's job is to decide on incomplete information — watch twenty matches, hold three data points, sign a teenager. We call that judgement, instinct, the eye. I have done exactly that for fifty-three years; the eye sees what the spreadsheet cannot. A machine stopped at the blank cell, and I flinched at the thought that stopping had somehow become a virtue.

Two truths have to be held together. The structural stop is professional courage. Behind the stop, incompetence can also hide — perhaps the source article genuinely could not be fetched, perhaps a scraper jammed. Who tells the difference? A human who knows he is guessing.

Takeaway

In January, at least one club will make a transfer decision on a dataset whose empty cells were never marked, and we will only understand it in April, reading the table. The question is no longer whether we have data. The question is who audits the blank cell. I didn't unsee it.