The Empty Cells: Who Answers for Asia's Broken Cricket Data Pipeline?

The file was titled as an over-by-over report on a pace bowler. I opened it. Six columns—over, runs, dot balls, economy, wickets, notes. Every cell said the same thing: N/A. No error message, no warning. The system had quietly admitted it had nothing, and then built the file anyway, as if emptiness could count as a deliverable.

That blank table is the most honest document in Asian cricket right now. Our game's economy has two kinds of people: those who decide without data and know it, and those who decide believing they have data while every cell reads N/A. The second group is dangerous. They hold power, and they hold a spreadsheet that looks expensive but is empty inside.

I went back to the tape, and the tape was laughing at me. Nothing in that six-over spell—pitch dampness, evening dew, the slip fielder drifting two yards, an umpire's low calls—made it into those six columns. Cricket's real information lives outside the table; the table lives in the meeting room, where nobody watches the footage.

I joined The Daily Star sports desk in 2026 with a pen and a scorecard. Data then meant a runs column and an editor's eye. After the IPL began, the picture shifted: from 2026 franchises hired analysts, broadcasters put wagon wheels and expected runs on screen, and a laptop entered every board meeting room. BPL, PSL, LPL, ILT20—the same sentence everywhere: "the data says."

In 2026, watching matches in empty stadiums, I learned atmosphere is data too. In my own notebook I logged home win percentages falling from 94 to 53—my tally, not a board's record. Since then I have asked the same question of cricket: how do we measure what we cannot see, and does the measurer know what is being measured?

The problem sits there. Over fifteen years Asian cricket accumulated more data and not more verification. In a franchise meeting room, an analyst's blank file and a selector's gut carry roughly equal weight, and neither is audited. Because nothing is audited, both are getting more expensive.

Every auction is a heist movie with worse lighting and worse alibis. Half the spreadsheet shown to owners is filled by agents' phone calls, the other half by blanks, and still the bidding climbs, because nobody stands up and says there is no data. Saying it would stop the meeting. Meetings do not stop.

The pipeline breaks in four places, and each break has a price. First, capture. Most Asian domestic venues lack IPL-grade multi-camera skeletal tracking. The model learns from a handful of grounds—Mumbai, Bengaluru, Dubai—and is then applied in Sylhet, Colombo, Multan. That is methodological theft: an academy's exam paper used in a neighbourhood school. Pass rates will look fine; nobody will know what was actually learned.

Second, parsing. Data is scraped from a score provider, the HTML selector misses, empty strings flow downstream. The model, finding nothing, returns a default template—six columns, six N/As. There is no exception, because the system was designed on the principle of producing output even when empty. A system afraid to declare failure formats its failure instead.

Third, and worst, the conversion of nothing into zero. Once N/A lands, someone reads it as nought runs, which becomes "did not bowl in the powerplay", which becomes "is not a powerplay bowler". Three steps turn an unknown into a firm judgement. In the fourth step the judgement gets dressed: "his numbers are trending down." Nobody lied, and yet the decision rests on a lie.

Fourth, ownership. Domestic tracking data usually sits with the vendor, not the board. The board can see a player's past but cannot verify its provenance. The body making the decision does not hold the evidence; the body holding the evidence carries no liability. This gap is the least discussed and the largest in Asian domestic cricket.

The biggest lie in cricket is the bare strike rate. What possession percentage is to football, an uncontexted strike rate is to cricket—no conditions, no situation, no pitch. Forty-five balls for fifty on a 140 deck and fifty balls for forty on a 130 turner are two numbers on a table and two different planets in a decision. Shakib Al Hasan's value as an all-rounder never fits one number, because half his work begins in the second spell of a set, when the ball is older and fielders creep in.

Mustafizur Rahman's cutter changes meaning with the dew; the same delivery is blocked at dusk and becomes a wicket later. When Litton Das plays with the shell off, even his failures are worth something, because the ball stops being new for the next man. None of this reaches a table, because a table cannot ask which over, which hand, which humidity.

DRS taught us how confident a machine can sound. "Umpire's call" is cricket admitting a philosophical problem: where measurement is uncertain, the decision belongs to the rule, not the machine. Yet the same sport has no umpire's call in a selection meeting. Whatever the model says is final—no second layer, no second camera, no second opinion.

I am not saying data is false. I am saying that without provenance, data stops being information and becomes a belief—and belief has no coordinates. The spreadsheet says one thing; the stadium hum says another. The analyst who can tell the two apart is an asset; the one who cannot is the loudest and least heard person in the room.

The twelfth man in Asian cricket no longer stands in the outfield; he is in the data. He is the groundsman watering a pitch, the scorer who forgets a bye, the crowd whose absence in 2026 proved how many points atmosphere is worth. He can be measured—but only once we admit the table has gaps. A system that cannot admit gaps keeps him invisible forever.

Now the strongest case against me must come from me. The analyst who sent a blank file may be the most honest person in the meeting. Everyone else showed filled cells; he showed nothing. If a system is forced to write "no data", that is a feature, not a bug. So the question shifts: is the fault in the blank file, or in the room where a blank file stops nobody?

I concede my own trade breeds this disease. My 2026 thread on Trent Alexander-Arnold drew 2.3 million impressions, and in places I was wrong. I have since learned it is easier to be fast than right. At 62, I trust the hair on my neck more than the xG—but that is data too, just unarchived.

So I keep the claim modest. My anger about blank tables is aimed at process, not people. And yes, a board with no data may be cleaner than one with fake data. The trouble is nobody says that in a selection meeting, because honesty requires explanation, and there is no time to explain.

A board that cuts its analytics budget calls itself honest; a board that buys a spreadsheet calls itself modern. Both wear the same mistake. The question is not budget but signature—who will say this cell is blank, that we will decide anyway, and that we know we are walking in the dark.

Within eighteen months, at least one Asian board will publish the input list of its selection model to end a controversy, or a broadcaster will retract a graphic it put on screen. Whichever comes first will settle whether the data age has actually begun, or whether we are still writing names into empty cells. Show me strong evidence and I will bin every table I own; I only want to know who built the table.

The question is simple, the answer is not: when the row reads N/A, who signs it?