Eight Columns, All Empty: When Cricket's Data Machine Turns 'N/A' Into Zero

At 1:10 in the morning, at the same Pitampura desk, I was scrolling through 240 rows of a spreadsheet. The column header read "economy rate vs role benchmark". In 61 of those 240 cells there was a clean, typed zero. A zero is also a statistic, but this was not a zero. It was a map of a place where data had never arrived, and the machine had accepted the emptiness as an answer. Ten minutes later another document landed on the screen — eight sections, from format to risk, every cell carrying the same sentence: "N/A — insufficient information". The thing that stung was not that the report was empty. The thing that stung was that the report was twice as long as the article it had set out to analyse.

I started with the headline and ended up suspicious of the headline. Because in an industry that sold the IPL's media rights for ₹48,390 crore, "there is no information" is also a sentence that gets wrapped in twelve hundred words and sent out, and nobody notices.

In August 2026 the BCCI sold India's bilateral media rights to Viacom18 for ₹5,963 crore, for five years. In January 2026 the Women's Premier League rights went for ₹951 crore. An A+ central contract is worth ₹7 crore a year. And in the 2026 cycle onwards, roughly 38.5 percent of the ICC's central revenue lands in India's account.

There is only one way to read that money. The more broadcast hours, the more content. The more content, the more numbers. The more numbers, the more "analysis". Ball-by-ball feeds, tracking cameras, Impact Player substitutions, auction retention and RTM figures — all of it does one job: filling space. And the cheapest raw material for filling space is a number, because a number is visible and does not ask questions.

One clarification, otherwise this piece falls into the very trap it is describing. Numbers do not lie. Numbers are made to lie — by putting a zero where a blank belongs, by calling a small sample a large one, and most of all by skipping the question every honest report asks first: can the thing this statistic claims to measure actually be measured?

The smoke signal sits in one line of that eight-section document. Next to "Entities Involved" there were no names. There was an instruction: "identify from the information points above". A place that should have held an answer held a reminder instead. The machine ran, produced a report, filled the format field, assigned ratings — but the thing all of it rested on had never arrived.

Blank and zero are different things, and that difference wrecks most cricket analysis. "Not assessed" and "assessed at nothing" are two different worlds. The report put "N/A" on every row of its risk table and stated plainly that it could not call risk "low", because "low" means "assessed and found safe". I liked that honesty. The real world does not work that way. In the real world the empty cell gets a zero typed into it by Excel — and then the zero enters the average, the average enters the ranking, the ranking enters selection, and selection enters the debate we call "bench strength" on a Sunday night panel show.

My own record here is not clean, so I will not hide it. 18 June 2026, Champions Trophy final, The Oval. Pakistan made 338/4, India were bowled out for 158, a 180-run defeat. That night I wrote a sixteen-tweet thread arguing the collapse was structural, not emotional — that India's numbers 5 to 7 had faced only 211 balls across the tournament before the final. The number was right. The sample was small. I called it evidence when it was a signal. The difference is that the machine makes the same mistake without knowing it is a mistake, and without leaving anyone the room to argue back the way that night did.

August 2026, England. India lost the five-Test series 1-4. Virat Kohli made 593 runs at 59.30, and no other Indian batsman reached 300. The series' biggest number was also its biggest cover story — and that story does not come out of the scorecard, it comes out of the column the scorecard does not have: numbers 3 to 5 averaged under 25 whenever Kohli was at the other end. A machine can build that column only if it knows "the other end" is a variable. A pipeline that could not resolve an entity will never get there.

Impact Player has tripled this problem. The rule arrived in 2026. Which means the entire substitution-based data series is three seasons old. You cannot build a role-based benchmark on three seasons, but benchmarks are being built. A finisher's strike rate of 180 and a Test opener's average of 45 get seated in the same table, with no shared scale between them. A benchmark depends on a role, and the role changes with the rules. Where the rule is three years old, the benchmark is three years old — but it is sold as something that has run since 2026. In the years I have spent watching matches on screen, the worst damage happens where a number appears on the commentary box graphic and the basis underneath it never does.

Auction economics is the most expensive version of that illusion. A ₹7 crore A+ central contract and an IPL price are two different markets, two different currencies, with no exchange rate between them. The first market is run by a selection committee; the second by ten franchises running an auction strategy. One carries security, the other risk; one is a career, the other is three hours. Writing both in the same column and calling it "form" is not data — it is translation, and bad translation.

I ran a cross-sport check here, because that is my habit and habits deserve testing now and then. Football's logic of xG and the transfer market is a strong structure: open market, agents, bids, wage caps. Try that framework on cricket and it breaks — because cricket's auction is a closed market. Retention exists, Right to Match exists, no player can bid his own price, and the agent is not as central as in football. So football's "market value" logic does not transfer directly. What transfers is the question — "this price is the price of what, exactly?" — and that is the question cricket asks least.

Whoever buys broadcast rights is paying for hours, not for ideas. A rain-washed day still has to be filled, and the easiest way to fill it is a graphic, a comparison, an "this season versus last season" box in which the two seasons had different rules — and nobody mentions that.

One more thing in that eight-section report kept me up. It did not say "risk is low". It said "risk cannot be rated". And it added that the real risk in the report was not a cricket risk at all, but a pipeline risk — the system that reported "success" with nothing in hand. The pattern has a name: silent degradation. The system looks green, the output is empty, and the empty output travels down every floor undetected, because every floor below believes the floor above has done its job.

One thing the group chat believes and the spreadsheet does not: that data arriving is proof the data is correct. Data arriving only proves a file arrived. The scorecard says one thing, the 1 a.m. thread says another — and now there is a third party, the machine trying to fold both into a single table.

Now the part I have to write every time and nobody enjoys reading.

I am not saying the machine is wrong and the human is right. I have spent nine years in and around newsrooms, and I can tell you the human does this job better — in prettier language, with more confidence, and without disclosing what was left out. The machine at least said it had nothing. That report contained no player, no team, no format across eight sections — and it did not hide the fact. The most honest cricket document of the year may well have been the one written not by a person but by a broken pipeline.

Second: it is possible this entire argument rests on one incident, not a structure. One bad parse, one paywall, one JavaScript-only page — and I built an industry out of it. That is my worst weakness: dropping the evidence in the hurry to say the opposite thing. So let me write my own falsifier into the piece — if the rate of empty information points drops below one percent across the next fifty records, then this was an accident and not a structure, and this article should be retracted.

My prediction, and it is testable: the next big cricket-media failure will not be a wrong number. It will be an average built out of a blank space, used as evidence in a selection debate, and impossible for anyone to audit. You will not find out until a player asks where that number came from. The only question is whether anyone will be in the room to answer him when he does.