Twelve Empty Cells, Twenty Full Pages: The Truth of N/A in Cricket's Data Reports

In a hotel conference room in Ahmedabad, three weeks before an auction, a scout handed me a twenty-page bound dossier. Every page carried the franchise logo, every player had thirteen columns beside his name — age, domestic average, strike rate, three-season trend, injury history, fitness flag, and at the bottom, in bold, "Auction Projection." The paper was good. The printing was sharp. Money had been spent on the binding.

I turned the pages and started counting. In twelve places those two letters appeared: N/A.

I asked him why twelve cells were empty.

He said, "Sir, that's what the system returned. I sent it on."

I asked him what he himself knew about any of them.

He paused for three seconds. Then he said, "Two of these boys I've watched for two years. Three of them I know nothing about. The other seven I've heard of and never seen play."

Those three seconds were the most honest part of the entire file.

What looks most trustworthy in cricket today is often the hollowest. Twenty pages, thirteen columns, coloured headers, and twelve empty cells in the middle. The man who printed that file was not lying. The system it came out of was not lying either. The lie is born in the moment someone looks at those twelve empty cells and tells himself, "Well, there's something here."

Last week another file landed on my desk. There was no binding on this one — it was an analysis report, divided into eight parts: match format, player technique and data, team landscape, league and commercial ecosystem, rules and governance, risk, public narrative, and industry transmission. Eight parts, and seven of the eight came back empty. Not just the cells — no title either, no source, no author's stance, not a single information point. One word survived: "cricket_world."

And what that report did is the biggest story about that report. It printed N/A. Repeatedly, in every cell, without embarrassment. It did not say "data is being compiled" or "according to sources." It said: insufficient information.

That document reminded me of something I learned in forty-seven years in this trade at the most expensive price available. The biggest danger in cricket's data economy is not a wrong number. The biggest danger is a document that looks complete and is empty inside — because a wrong number can be challenged, and nobody challenges an empty template.

February 2026: When I Had a Notebook and Nobody Had a Model

In that media room I had a print credential, a sports management degree I had finished at thirty-seven, and a hardbound copybook — handwritten. Eight franchises, each working to a purse of 50 lakh dollars. Chennai bought MS Dhoni for 1.5 million dollars and the room stopped breathing, because nobody had the context to interpret that number.

I logged all eight purses. I logged every winning bid. And I logged a great many lots that nobody bought — the ones that were passed.

By the last round I had the one thing nobody else in that room had: a market. A market doesn't mean prices. A market means who stepped back, and when. Which franchise's purse began to dry up in which round. Who spent on a batsman and then bought nothing for three rounds because there was nothing left to spend.

I still have that ledger. Its most valuable column is not the one with winning bids. It is the one with the passed lots.

Why? Because what was bought, everybody saw. It was on television, in the papers, on the team sheet the next morning. But the ones who went unsold — nobody asked about them. And that empty space held all the information in the market: whose eye was on whom, whose purse fell short, whose scout's opinion a franchise owner listened to and whose he did not.

Now imagine that room today. Two hundred and fifty players on a screen, forty columns, and three of those columns are estimates from a vendor nobody can name. There is no "passed lot" column on that screen. The tool shows what was bought. What went unsold drops out of the database as though the player had never existed.

This is where the whole story begins. The biggest change cricket's transfer market has made in eighteen years is not money — money has been flowing since 2026. The biggest change is that the man in the room who watched players on the ground has been replaced by a formatted document. And that document's greatest strength is that it looks credible — even when twelve of its cells are empty.

Understand the structure of the market. The auction purse is public. The retention rules are public. The base price list is public. But the models that price a player are not public. Which means the most credible-looking numbers in this market are the least checkable. A scout who says, "I've watched this boy in six matches and his pace keeps dropping" — his word doesn't hold in a room, because there is no table behind it. And the man who says, "the projection is 4.2" — he holds, because there is a digit after the decimal point.

Writing this, I remember standing in a hotel corridor in 2026 when a franchise official told me their purse was "almost finished." Almost — by how much? He would not tell anyone. The bid sheet never shows who picked up the phone at two in the morning, and who let a ringing phone ring out.

The Empty Template Is a Trap

Back to the report that came to my desk.

Look at its architecture. Eight sections. A table in each. In each table, columns: assessment, reference, note. In every note the same sentence: "insufficient information." Below it, a summary. In the summary, ratings on four dimensions — sporting value, industry value, timeliness value, reference value. One star out of five on all four.

Stop. Read what that document did. It declared itself worthless on every axis. It wrote: "Do not publish any sporting conclusion on the basis of this report." It said itself that a confident-looking report built on this input carries a very high probability of factual error.

Now think: how many systems do that? How many systems send you a document that says, "I am empty, do not trust me"?

Very few. Because whoever sends such a document does not get work next time.

That is the real game. Cricket's data market has quietly accepted completeness as the measure of quality. A report with every cell filled is a "good" report. A report with empty cells is "incomplete." That one sentence has rewritten the entire economics of the industry.

The consequence is that a scout who writes "I don't know" does not get a contract next season. And the one who writes "4.2" does. The difference is that the first told the truth and the second made an estimate. The market rewarded the second.

This is not only cricket's disease, but in cricket it is an expensive one, because behind every empty cell there is a person. A twenty-year-old nobody watched, and so his average is blank, and so his projection is blank, and so he sits at base price at the auction, and so nobody bids on him, and so his career ends inside that one empty cell.

In the file he is an N/A. On the ground he is a man.

The Cell That Cannot Be Filled Is the Most Important One

An old habit of mine — before any rumour earns a sentence, I ask for its date, its figure, and its counter-figure. The date tells me how stale the information is. The figure tells me who claimed what. And the counter-figure tells me what else would have to be true if this were true.

In August 2026 a call came at eleven at night. An official connected to the Pune franchise, for whom I had walked through auction purse arithmetic over two dinners in 2026. He told me: Pune Warriors had gone for 1,702 crore rupees, Kochi Tuskers Kerala for 1,533 crore. Neither figure had been published anywhere. The BCCI never released the price.

I confirmed both through two more sources — a broadcaster contact and a banking source. I held the story for thirty-six hours. Then I published it, naming all three sources by role and none by name. Within eighteen months Kochi had collapsed.

I tell this story because there is something in it that has vanished from the data age. 1,702 crore is a round number. There is no decimal. And that is its greatest strength — it does not pretend to false precision. A round number is honest about being round. "1,702.4 crore" would have been a lie.

Today's projection models run the other way. They carry four decimal places, because four decimal places generate trust. But what is that trust resting on? A vendor's server, someone who watched three matches of a domestic tournament and filled the remaining columns from a model.

I will say it plainly: the most trustworthy element of that document was the twelve N/A's, and the least trustworthy was the thirteen filled columns. Because N/A at least does not lie. It tells you there was no eye here. The thirteenth column told nobody whether it was an estimate or a testimony.

Two Hundred Crore, and the Empty Room Inside It

That 2026 call changed my journalism. I began keeping a private fragility file on every franchise: who had posted the bank guarantee, who had quietly not. After that I reported on buyers before I reported on players.

I read that empty report with the same instinct. The biggest thing in it was not its incompleteness. It was its willingness to say: "On this section I cannot speak."

Think about what a system that left seven of eight sections blank actually did.

It refused to fix a format — not Test, not ODI, not T20. That was right, because there was no scoreline on either side, no ground, no weather. The first law of cricket data is that you must declare which format you are talking about, because a Test average and a T20 average are not comparable. A system that assesses a player without fixing the format is technically lying.

It said nothing about a player's technique, because there was no player. Nothing about team depth, because there was no team. Nothing about broadcast rights, franchise valuation or player salaries. In the governance checklist it left five boxes empty: power and revenue distribution, playing-rule controversies, integrity and anti-corruption, eligibility and selection, political factors.

And then it did what a genuinely professional system does. In the risk matrix it marked all six categories — sporting, personnel, commercial, rules and integrity, public opinion, systemic — as N/A. It could rate only one risk: fabrication risk, the hazard that an analyst would fill an empty template with invented facts.

That is a strange thing — a report that files its own tool's deepest flaw as its principal risk.

I have seen this twice in my career. Once here, and once in 2026, when I had a name on my desk and did not print it.

May 2026: The Name I Did Not Print

The spot-fixing story broke in Mumbai, in the middle of a league I had been chronicling for five years. On my desk was a sting transcript containing the name of a nineteen-year-old uncapped player. We argued for six hours about whether to print.

I did not print it. I sat with his agent in an Ahmedabad hotel and helped him draft a statement.

At the time I did not know that the Lodha fallout would later suspend Chennai and Rajasthan for two seasons each. I only knew that the name of a nineteen-year-old was sitting in a document whose truthfulness I was not myself sure of.

That week I wrote a rule into my notebook: no uncapped player's name without a charge sheet.

And I wrote another rule that I only understood later — the call-first list. Agents, families, junior staff. Ring them before a crisis piece runs, not after. My readers noticed the change in my tone. So did my sources.

I bring this up because that empty report did what I did that week. Both left a hole. Both admitted: I have nothing here. Both took nerve.

And both carried the same question underneath: if your document cannot say "I don't know," what exactly is it for?

The Face of an Empty Cell: the Void Where Ranji Used to Be

Now the other side of that question. Why are these cells empty?

Someone will tell me this is a technical problem — servers, parsers, extraction. In last week's report it probably was exactly that. But in cricket's larger data architecture this is not a technical problem. It is a coverage problem wearing technical clothing.

How many domestic grounds have ball tracking? I will not quote a number I do not have, but I will say this: of the Ranji venues I have sat and worked at in recent years, the scorebook is accurate and the path of the ball is recorded on no camera. The implication is plain. The data that matters most about a domestic batsman — where he hit the ball, where he left it, which line troubled him — does not exist. What exists is average and strike rate, and both are products of the team's total, not the player's.

So when a vendor builds a "projection" for that boy, what is he building it on? Two numbers with no agreed logical relationship. And then he attaches a decimal point.

When I logged the first IPL auction in 2026, domestic cricket coverage was already thinning, and nobody stopped the thinning because there was no money in it. The IPL did not kill the Test match in India. What died was the relevance of the Ranji Trophy. And the journalists who walked away from Ranji were the same people who later stopped being invited — because invitations went to the ones covering the auction.

The loop is now closed. When Ranji coverage went, Ranji data went. When the data went, reliable information on a domestic player survived only with the people who go and watch. And when their judgement was replaced by a formatted document, that information left the system too.

That is why there were twelve N/A's in that file. Those twelve N/A's were not a server's fault. They were the fault of an entire structure that decided those twelve boys were not worth watching.

Where the Real Value Sits

Now the thing I consider most important in this whole piece.

The value of a scouting report is not in the count of its filled cells; it is in the labels on its empty ones.

A report that says "there is no data here" is a report. A report that fills that same space with an estimate is an advertisement.

That empty report left seven of eight sections blank, and the one section it did fill was: do not trust this input. I do not see that honesty anywhere in today's cricket market. In pre-auction meetings I have seen documents with seventy players, eleven columns filled against each, and not one eye behind any of them. Nobody asked, because the columns were full.

This is where I have a complaint against my own trade. We have stopped asking. We see that the document has every cell filled and we assume someone did the work. We do not ask who sat behind that "3," when he sat, at which ground, and whether he watched the boy three times or once.

The bid sheet never shows who picked up the phone at two in the morning. A phone call can change a club. And an empty cell can change a career. Both live in the same document, and both are read the same way — in a hurry, forty minutes before the auction.

The Reading That Comes Most Easily

Now the most comfortable side of this.

Any sensible engineer will tell me: this is a pipeline failure. Extraction returned empty, the source document did not parse, title and source both unresolved. Fix it, re-run it, populate the data, then publish. And the report itself recommends exactly this — publish no sporting conclusion, re-run Stage 1, audit the extractor.

That reading is correct. I say so at full volume, because I think on this point the consensus is winning and ought to win. When a machine returns nothing, the real question is not about the machine but about the input it was handed. Fix the input.

My disagreement lies elsewhere.

That pipeline did not fail. It succeeded. It returned exactly what it had — nothing — and it also reported that it had nothing. What failed was the assumption that structure is information. Twenty pages, eight sections, a four-star ratings table — it all looks like work was done. Work was not done.

And here I part company with the engineer. For him the problem is technical; for me it is editorial. If a formatted document reaches a newsroom and an editor treats it as evidence, it is not the pipeline that failed but the checking. And the failure of checking does not begin on the day the server returns empty. It begins on the day someone decided that a field called "information point" must be filled, and that leaving it empty is a matter of shame.

Further than that. The most dangerous system in this industry is not the one that prints N/A. The most dangerous is the one that was never permitted to print N/A — because somewhere in a meeting, someone made "completeness" a metric. The day a data product is evaluated by how many cells are filled is the day every empty cell becomes a step toward a lie.

And one last thing, the one that stings most on this subject. Ask a franchise analyst, "Your document says there is no data here — so how was the decision made?" The real answer is usually: "The owner decided from his own read, and my document was used afterwards to justify it." That filled document was never the basis of the decision; it was its alibi. The model did not decide anything — it gave a hunch a decimal point.

But I also concede that the consensus wins often. There have been franchises that trusted a thick file and won titles. There have been scouts who wrote one sentence about a boy — "he's quick" — and that boy played for his country. The fact is that many decisions in cricket are still made on gut and still succeed. I am not denying them. I am only saying that when the same decision is wrapped in a formatted report and presented as analysis, it stops being a gut call and becomes a claim nobody can audit.

Where the Next Domino Falls

The thing I will be watching over the next two seasons.

The answer is clear and it is not good news. Within a few years some vendor will start selling a "confidence score" — a number telling you how far the cells in that document can be trusted. It sounds like a solution. It is not a solution; it is a new layer. Because the day confidence itself becomes a number, a scout's job stops being "I have seen this boy" and becomes "my estimate is better than my colleague's estimate." And the boy nobody watched will now sit in a third column called low-confidence data. His position will be worse than before, because previously it was known that nothing was known about him; now it will be known that nothing is known about him, and there will be a score attached to it.

What I would like to see is this: will one franchise, at the next mega auction, read the empty column out loud in its war room? Will one owner ask, "Why is there an N/A against this boy? Who watched him, when, in how many matches?" If even one room asks that question, one player will be saved who last year sat quietly at base price while nobody asked why.

My ledger still records those passed lots. Some of those names I still remember — boys sitting in a room that night with their agents, thinking that perhaps someone would pick them up in the final round. Nobody did. The next morning their names were in no newspaper. Against each of them was nothing but an empty cell, and nobody read it.

So the next time a clean, bound, thirteen-column report lands in front of you — turn it over and look at the empty cells first. What is written there will tell you how much truth the document holds. The filled cells are only decoration.

And if your own file cannot say "I don't know" — then what exactly is it for?