The Empty Cell: Auditing Indian Cricket's Youth Data Pipeline

February 2026. Behind the Chinnaswamy Stadium, the KSCA office had three steel almirahs of files and one old laptop. On that laptop sat my audit sheet for the 2026-18 Cooch Behar Trophy. In the row for a seventeen-year-old batsman, four columns against left-arm spin were blank — balls, runs, boundaries, dismissals. The rest of the sheet was full: a first-class average of 45, sound numbers against pace, runs sorted by zone. Only one corner was empty. That corner pulled me through twelve matches of footage, and what I found there became the first rule of every scouting report I have written since.

The batsman was Devdutt Padikkal. His strike rate against left-arm spin sat roughly 22 per cent below the rest of the sheet — too wide a gap to explain away as form, given the 45 average and the steady run-scoring. Frame-by-frame over twelve matches, I found a small flaw in his trigger movement: the front foot closed too early, the weight stayed back, the bat came down under the ball. The coaching staff ran a two-week correction. The following season his average against spin was 58.

Last week another blank sheet arrived in my inbox — not a scorecard this time, but an automated analysis report. Title: N/A. Source: N/A. Format: unclassified. Information points: zero. It carried eight analytical dimensions — format and match, player technique and data, team landscape, league and commercial ecosystem, rules and governance, risk, public narrative, industry transmission. Every dimension returned the same line: 'insufficient information'. The system invented nothing. It declined.

A blank report that says 'I do not know' is more honest than a filled one that prints an inference as fact. And the root of Indian cricket's data problem is here — not in the model, in the empty cell.

A blank payload, eight blank dimensions

What struck me about that report was not its emptiness but its discipline. The title was blank, so the format could not be fixed. The format could not be fixed, so no tactical conclusion was admissible — the new-ball phase in a Test, the middle overs in an ODI and the death overs in a T20 are not interchangeable. No player was named, so no role could be assigned. No role, no benchmark. No benchmark, no comparison. This is the plain arithmetic of zero, and in cricket writing it is the easiest arithmetic to break.

In its final table the report recorded something about systems rather than sport: the risk that a blank payload, propagated downstream, produces fabricated insight at scale. The real danger is not that the data is missing. The real danger is that the template must look finished, so someone will finish it.

I have spent twelve years working with Indian domestic records. Based on my years of watching matches and digging through scorecards, the crisis in domestic cricket is not a shortage of data — the record exists, it simply was never written for a machine. The Cooch Behar Trophy, the Vinoo Mankad Trophy, the C.K. Nayudu Trophy: this is the layer of the BCCI's domestic structure from which the next generation emerges. Scorecards are produced here, but they sit scattered across state association PDFs, local newspaper clippings and the closed APIs of scoring apps. In the country's premier T20 league, every ball has eight cameras, ball-tracking and frame-level coding. That asymmetry is not technological. It is a writing habit.

Digging down: three places where the record breaks

The blank report made one technical point that deserves translation into cricket: extraction failure is not random, it is class-based. Paywalled text, scanned PDFs, non-Latin scripts and dynamically loaded pages are the four classes where automated systems silently return nothing. Indian cricket is thick with all four.

Take the cricket-specific versions. First, regional-language match reports, which often hold the real scouting line — 'the front foot closed too early against the left-arm spinner'. That sentence never becomes a column in a database, yet it is the sentence that explains a 22 per cent gap. Second, state association annual reports, where a season's U-19 numbers are printed as an image. Third, online scorecards that died with a third-party server.

In my audit I recorded a blunt line: a match whose scorecard exists only as a photograph has not, for analytical purposes, been played. That sounds harsh. In scouting it is simply true. When I build a three-year trend for a seventeen-year-old, I need every season. One missing scorecard and the line breaks. A conclusion drawn on a broken line is a guess, and a guess has no place in a scouting report.

So before I call it a trend, I want to see the layers underneath. A batsman's strike rate jumping from 130 to 155 in a season is a 'transformation' in the headlines. For me it is a question: how many of those matches were on grounds with short boundaries? How many innings were shortened by rain? How often was he not out because the side collapsed at 120? The number is a trailhead, not the summit.

The spreadsheet pointed to a name; the footage explained why

In Padikkal's case I had three sources: the Cooch Behar scorecard, twelve matches of video, and a conversation with the coaching staff. All three pointed the same way. With only the first, I would have written 'weak against left-arm spin' — an empty conclusion, because identifying a weakness does not fix it. The footage explained the cause, and once the cause was named, the correction became possible.

One thing worth recording here, because cricket analysis usually skips it. In 2026 we had no heatmaps and no clean wagon-wheel data. We had scorecards and raw footage. It was enough, because the question was right. Today there is an abundance of heatmaps and pitch maps and the questions are often wrong. Heatmaps have become the new reading of tea leaves: they tell you where the ball pitched, not what the batsman was trying to do with it. Until you see the foot and the shoulder in the footage, the heatmap is coloured leaves in a cup.

So I do not chase highlights; I catalogue the repetitions. One six tells you nothing. The same error across fourteen innings is technique. The Padikkal file was a product of that cataloguing — twelve matches, every ball from every left-arm spinner, not only the dismissals.

The auction board and the overlooked left-hander

In late 2026 I joined Rajasthan Royals as a junior player development analyst. For the IPL 2026 mega auction I was assigned fifty uncapped Indian players, weighted on domestic T20 strike rate, dot-ball percentage and fielding efficiency. My recommendation included Tilak Varma — roughly 140 strike rate in the Syed Mushtaq Ali Trophy with only 12 per cent dot balls. Rajasthan did not bid. Mumbai Indians bought him for ₹1.7 crore at the February 2026 mega auction, and he made 397 runs in IPL 2026.

My post-auction report did not say 'we missed'. It said our model underweighted left-handers. That is a small sentence that separates two kinds of failure. Padikkal was a data gap — the cell was empty. Tilak was a model gap — the cell was full, but a variable was missing. Both end in the same place, a wrong decision. They need different cures.

The auction board is a dig site: bid, pause, and read the sediment. When three teams bid and a fourth goes quiet, the silence is data too. A ₹1.7 crore figure is not a certificate of quality; it is the price of that day's demand. Sporting value and market value have to be kept apart, and the auction's noise is exactly what breaks that discipline first.

180 balls, two tournaments, one rule

During the 2026 lockdown, with cricket suspended, I spent four months building a video database of India's 2026 World Cup. I coded 180 balls of India's batting in the semifinal against New Zealand. Seventy per cent of the dismissals came against short-pitched bowling on a slow surface. On its own that number is a story; it is not yet evidence. Comparing it with 2026 IPL data, the Indian batsmen's average against the bouncer in ICC events had fallen from 42 to 28.

Since that day I have held a rule: no tactical piece without a quantified baseline from at least two tournaments. One tournament is a season; two tournaments is the beginning of a trend. The rule makes me slow and I accept that. Speed of verdict is usually paid for in credibility.

It is also why, during a live tournament, I open the ball-by-ball log before the scoreboard. I went back to the first over and found a different story — I have written that sentence many times and it has held every time. Tournament cycles compress emotion, and compressed emotion fixes the eye on the highlight rather than the process. The scoreboard says what happened; the ball-by-ball log says why.

When the third source is blank

Every scouting report I write rests on three sources: the written record, the video, and a human — a coach, a selector, or the player himself. The conclusion forms where all three agree. Trouble begins when the third source is blank, which in domestic cricket is routine. Many Cooch Behar matches have no broadcast-quality recording at all. You are left with a scorecard and memory.

That is where professional honesty is tested. A clean audit trail is the first honest scouting report — and a clean audit trail includes writing, in the report itself, that the footage does not exist. I have read many reports where 'footage unavailable' was replaced by confident adjectives. That is not analysis. That is upholstery.

The blank report supplied a piece of vocabulary cricket should adopt: absence of information is not absence of a problem. It stated plainly that no integrity flag does not mean clear; it means unknown. In cricket that distinction matters. No betting signal around a match is not proof the match was clean. The Anti-Corruption Unit not knowing something and a match being clean are two different facts, and coverage folds them together constantly.

Gates, enums and the filled-in template

The most useful recommendation in that report was technical: install a hard gate before any analysis runs — title not N/A, and at least one information point present. In my work the translation is direct: no conclusion until the scorecard, the footage and one human confirmation agree.

The second recommendation translates just as well. The report carried an informal label, 'cricket_world', where the schema expects 'Cricket'. It sounds trivial. Trivial things do the most damage in cricket too. Strike rate means runs per hundred balls for a batsman and balls per wicket for a bowler — one term, two opposite meanings. If your system has not fixed that distinction, your dashboard is wrong and you will not be told.

The third finding is the bitter one: the day an automated system starts filling blanks, it will manufacture insight at scale. Cricket already has a low-tech version of this — the scouting report in which every player is 'technically sound, mentally strong'. That is not information. That is filler.

The biggest error is assuming the problem is technology

The popular view is that India's data gap is a technology gap: too few cameras, expensive software, scarce specialists. That is the wrong diagnosis. Cameras and software arrive with money. What does not arrive is the habit of writing the record down, and the willingness to assign responsibility for it. Who keeps an U-19 scorecard, in what format, for how many years, and whether it is published — that is an administrative question, not a technical one.

The second contrarian point: a system that fills blanks is more dangerous than one that shows them. The first gives you false certainty, the second gives you a question. In scouting, false certainty can cost a career — a nineteen-year-old picked or discarded on the wrong profile.

The third, the most uncomfortable truth of my own work: coverage of domestic cricket is thin, so conclusions built on domestic data are thin too. When I draw on Cooch Behar numbers, I have to say how many matches those numbers exclude. That admission does not weaken the report. It makes it readable.

What to watch next

If I could pick one fix for Indian cricket's data problem, I would not pick a heatmap. I would pick a mandatory eleven-field minimum record for every domestic youth match: date, venue, toss, both XIs, bowling order, mode of dismissal, and the full ball-by-ball detail — machine-readable, public, permanent.

When the market moves fast, I return to the frames that do not. Over the next five years Indian cricket will build several times as many scouting models as it will write records. The question is not how much data we have. The question is whether, when a cell is empty, we fill it — or have the nerve to leave it empty.