The Ledger of Zeros: Football, Memory, and the Game of Verification

Four in the morning. In my house in Rangpur, the light of the table lamp and the blue glow of the television had almost turned the room into a cathedral — at four a.m. in Rangpur, the television light made a cathedral of my living room. The scene is not new to me. Watching football for more than fifty years, I have learned that an invisible cord runs between the room and the pitch, and when you pull that cord, the sound of the field falls into the room. But on that night last week, the sound came from somewhere else — from the screen of my laptop, from inside an analytical report that had arrived by email.

The report had nine chapters. Tactical analysis, club finance, the transfer market, the public-opinion cycle, the league landscape, governance, the dressing room, risk profile, and media narrative. Every chapter had a table, a subheading, a comparison cell, a list of possible risks. And in every cell sat the same single sentence — “insufficient information.”

I put the kettle on, then sat down in the chair and took out paper and pen. At this age I am used to thinking by writing, not writing by thinking. And while writing, a question surfaced that kept me awake all night: in football, are “zero” and “blank” the same thing?

Chasing the answer to that one question, I began turning the pages of fifty years of my own notebooks. And out came a story that all of us in this era need to know.

Context: why a blank table is so dangerous

I began in journalism in 2026, at the national sports fortnightly Krira Jagat. Back then paper was gold and every word was a cost. The desk editor cut lines with a red pen, and from those cuts I learned: whatever you write, keep the evidence behind it. That evidence-culture has now entered the age of data. But the problem is that the face of evidence has changed, and with it the room for misunderstanding has grown.

I remember 2026. The digital desk cut my match column from 1,200 words to 400, because mobile-app space was scarce. Instead of fighting it, I changed the medium. I recorded a six-minute voice note about a monsoon-soaked 1-1 draw between Sheikh Russel KC and Abahani Limited Dhaka — the 87th-minute equaliser, the smell of wet grass, the nine thousand fans who refused to leave. It was listened to 4,300 times in five days, more than any long print column of my life.

That voice note began where the column ended, somewhere between breath and deadline. From then on I learned to write for the ear: short sentences, one image per paragraph, sound before statistics. And a habit began — in the margin of the notebook I jotted the sounds around the pitch, the rain, the shouts, the steward’s whistle. Those margin notes later became the spine of every piece I wrote.

And right here lies my oldest wound. Watching football from Rangpur is a different kind of labour. The power cuts out at the exact moment the ball reaches the penalty box. The satellite signal arrives a few seconds late, so I hear the neighbour’s shout and know a goal has been scored before I see it. In those few seconds of delay an odd feeling is born — you know the event, but you have not yet seen it. To me this is a metaphor for analysis: information arrives first, meaning later.

Now imagine a club’s finance report with four cells — broadcast revenue, commercial revenue, wage expenditure, net debt. If all four are blank, what happens? Most people think, “Oh, no problem, no red flags.” The truth is the opposite. A blank cell does not mean “no risk”; a blank cell means “we do not know, and what we do not know we must go and find.” This distinction between a zero and a blank cell is the biggest trap in modern football journalism.

Because a zero is information. A zero means — there was nothing there, and we know with certainty there was nothing. But a blank cell means — there could have been something there, we simply did not look. The first is certain knowledge, the second is ignorance. And journalism’s greatest sin is to erase the difference between the two.

Core analysis: the ledger, memory, and the chain of verification

Modern football is an enormous ledger. Every pass, every shot, every sprint is tracked, stored on servers, and then analysts build stories from it. This ledger has one virtue — no one can delete an old entry. Whether the goal was scored can be debated, but the event happened — it is carved in. That is why football memory is like a distributed ledger: twenty-two players were on the pitch, thousands of witnesses in the stands, one commentator on radio, cameras on television, and hundreds of tongues at the tea stall. Each kept a separate copy of those ninety minutes, and truth is made by comparing those copies.

The tea stalls of Rangpur are really small courts. From morning to night a match’s truth is settled there — who played well, who badly, whether the penalty was right. There is no central authority, yet if anyone makes a false claim, the others together reject it. This is distributed truth — not one ledger, but hundreds held together.

But this ledger too has a gap. What was not recorded is lost — and yet that is sometimes what speaks the most. Modern football analysis almost always avoids this gap.

Let me give two examples.

The first concerns expected goals, or xG. It is one of the most valuable words in modern football. Someone says, “We were ahead on xG, so we were the better team.” It sounds reasonable. But the problem is that xG measures the quality of a shot at a given moment, not the quality of a decision. Say it is the 78th minute, the team is 2-1 down, one man is completely free on the left, three defenders on the right. The player shoots, xG rises, but the real decision was the pass. Matches turn on decisions, not on xG.

Let me be more precise. An out-of-form striker and an in-form striker, from the same position, the same angle, receiving the same ball, will be given almost the same xG number by the model — because the model does not know who is in form, who has confidence in his feet, who has a bandage on his knee. Yet in reality there is a world of difference between those two shots. And the referee’s decision is not captured by xG at all, though one wrong penalty call can change the whole story of a match.

This is why I believe xG is already being abused. It is a limited tool that answers one specific question — “how many goals usually come from shots like these?” But we use it to answer questions beyond its jurisdiction — who played well, who badly, which team is ahead, whose decision was wrong. You cannot judge someone’s taste with a kitchen thermometer; writing a match’s story with xG is exactly the same.

The second concerns gegenpressing. For a decade European football was spellbound by one idea — pressing high, recovering fast, intense physical effort. Those who succeeded in this system often won not through footballing intelligence but through athletic capacity. The interesting thing is that now mid-table sides have learned the system too — but they have not copied the strategy, only the physical condition. So many matches are turning into a running contest, not a game of intelligence.

With a metric called PPDA we measure how aggressively a team presses. If a team’s PPDA drops over the last three matches, we say it has become more aggressive. But PPDA can drop for three reasons — the strategy changed, the opponent was weak, or the team was simply tired. These three cannot be told apart unless we actually watch the match. This is the blind alley of data, and entering that blind alley reduces the game of intelligence to a running account.

There is one common formula in both places: data is never blank, but interpretation is blank. And in the space of blank interpretation we easily install our own wish. What we want to see settles into the gaps of the data, and then we pass it off as truth.

Let me consider a recent example of this habit. On the morning after a match it emerged that one team had taken 23 shots, the opponent 6. Seeing the number, anyone would say — “Unlucky, that team deserved to win.” But if someone actually watched the match, they know that 17 of those 23 shots were from outside the box, from eight or ten yards out, straight into the goalkeeper’s hands. The number is true, but the story is false. And around us the factory of building stories from numbers grows every day.

Contrarian angle: when a blank cell pretends to be a zero

Now to the counter-question I thought about all night. We all assume an analytical report means a bundle of facts. But if there are no facts, does the report become false? My answer — no. The report becomes false when a blank cell is shown as filled, or dressed up to look like a zero.

My greatest lesson here came from May 2026. On the sixteenth of May, Borussia Dortmund 4-0 Schalke. Inside Signal Iduna Park, in place of 81,000 there were only 213 people. My print column was suspended for nineteen weeks, and I stopped writing entirely for eleven days — the longest drought of my career. The silence at Signal Iduna Park was louder than any Yellow Wall I had ever written.

What brought me back? A youth side in Rangpur, six players, a half-flooded field, chasing a ball through standing water. I wrote 900 words about it, and then sixty letters arrived. That night I learned one thing — emptiness is a character, not a blank space. There was an absence there, and absence itself is information. Yet in the language of data that match’s report would probably say — attendance: minimal. Where a whole era hides inside one word, nothing at all remains.

That is why that blank report is not a failure to me, but a mirror. On the day I did not know, at least I did not lie. The analyst’s most honest moment is where he writes — “I do not know.” That honesty is rare, and it is the lack of it that surrounds us with so many certain predictions.

But here I have another objection. It is not enough to write “I do not know” and stop. True professional honesty means — finding out the reason you could not know, and naming it. If a blank report stays silent, it is only ignorance; if a blank report says “the source of the data has been lost, fresh collection is needed,” then it is knowledge. The difference is small, but in journalism it is everything.

And right here another dark side of football stands before me — the business of youth talent. In developing countries the scouting network has entered as though it were a lottery. If a boy’s name comes up, the family dreams, mortgages the house, pays the agent. Often the boy returns; the dream does not. In the ledger of data that boy is an ID number, an account — but in reality he is a household, a mother’s tears. A transfer is never a number; it is a suitcase, a mother’s fear.

I know families who sold a patch of land for a boy’s trial, and three months later the boy came home, with a bag and a broken dream. The cost of those three months is in no database; it lives only in that family’s kitchen. The analytical report will see that boy as a potential asset; it will not see a family’s last reserve. That difference in seeing is what turns football journalism from a mere carrier of facts into real writing.

Since watching Mbappé in Kazan in 2026, I understand this more clearly. At four a.m. in Rangpur, on the television’s weak signal, I watched France-Argentina, the nineteen-year-old won the penalty, scored twice, and in fifty minutes I wrote 1,400 words — beginning with a single line, “he ran like the floodlights were chasing him.” Mbappé ran in Kazan, and I heard the roar from a town that had not yet woken. The column was syndicated to three outlets, and for the first time readers wrote about the writing rather than the result.

From that night a rule became mine — every column opens with an image, then a fact. And a margin ritual began, which I called “Who is 19 today?” — a running list of new faces. That list taught me to look at rising stars, not established names. Because everyone will write about established names, while the story of tomorrow hides in rising ones.

The pitch is a poem that rewrites itself every ninety minutes, and I only take dictation. But this taking down carries a responsibility — to stand behind what you take down. Not to install your own wish in the blank space. In 2026 I returned to Prothom Alo, and later took charge as chief sports editor. That responsibility taught me something I had not known before — analysis is never only a matter of the pitch, it is a question of an institution’s integrity.

Forward: what we must learn

After that night I arrived at one conclusion, which is the core of this piece.

Our football analysis now stands in a strange place. On one side there is more data than ever before; on the other, more room for misunderstanding than ever before. Because data does not speak by itself — people make it speak, and people’s wishes are not always clean.

So my proposal is simple. Let every analysis have one cell, named — “What we do not know.” The report that fills this cell openly is credible; the report that quietly fills this cell with a zero is dangerous. Because a blank cell is never proof of safety — it is only a witness to our ignorance.

And here is the lesson of that night. At four a.m. in Rangpur, when the television light turns the room into a cathedral, I know — the truth of the pitch cannot be held in any single table. Truth lives in memory, in the ledger, in the argument at the tea stall, and in the smell of wet grass. Data is one copy of that truth, not the whole truth. And the analyst who forgets this difference keeps only an account, not football.

The question is now before you. The next time you see a report whose every cell is blank, what will you think — “No problem,” or “We need to know more”? The answer will decide what the football journalism of tomorrow becomes — a culture of verification, or a performance of certainty.