Cricket's Blockchain Ledger: Youth Minutes, Verifiable Truth, and Asia's Invisible Labour

Cricket's Blockchain Ledger: Youth Minutes, Verifiable Truth, and Asia's Invisible Labour

Last week, at two in the morning, I opened my laptop in my Delhi flat and stared at a spreadsheet. The room was silent except for the old fan. On screen was a table — twenty-two columns, twenty-seven rows — and inside it, one cell that was completely empty. That empty cell stopped me. Because I knew that if I put a number in it, it would not be true. And if I did not, the whole table would stay incomplete, and no one would ever question that incompleteness.

That small dilemma is the biggest crisis in cricket analysis today. We are producing so much data, so fast, that the wall between fact and inference grows thinner by the day, driven by the urge to fill empty cells. It is not easy for a twenty-eight-year-old to admit this, but the truth is I have stepped into that trap many times. Looking at a young player's scorecard, I built a story that was not in that scorecard. Later, going back to the archive, I realised my story was beautiful — and wrong.

I am Fahim Mondal. Born in Bangladesh, now based in Delhi, working as a player development consultant. For twelve years I have rummaged through cricket's paperwork — youth World Cup tapes, domestic scorecards, academy documents, coaches' handwritten notes. In that work I learned one thing I now want to express in the language of blockchain: every claim is a block, and every block must be chained to the block before it. Without that link, it is not data. It is rumour.

[Context]

Asia's cricket economy has grown at a speed our data systems have not matched. IPL, BPL, Lanka Premier League, Pakistan Super League — every delivery is now recorded. Every batter's strike rate, every bowler's economy, every fielder's run-saved, all captured in numbers. Yet a question remains: who actually made these numbers, and who verified them?

When I ran a social media cricket page called BDCricTeam in 2026, all we had was newspapers and TV scores. No verified database. We traded a player's domestic average among ourselves, and no one checked whether it was right. That period taught me that false data spreads faster than true data — because false data is usually more exciting.

Then came the transfer window. Now every July and August begins rumour season. An agent says a young batter is reportedly about to be bought for a huge fee. A social media account says this boy is the next decade's superstar. In that flood of rumour, the real questions drown: How many overs has he actually batted? On what pitch? Under what pressure? How old is he, and how much load can a body that age take?

I write this from a specific experience. Not long ago, an analysis landed in my hands that was supposed to conduct a deep eight-dimension examination of a cricket report. But the information it was supposed to stand on was entirely empty — no title, no source, no information points, no named player. There was only one label: cricket_asia. At the end, that analysis did exactly one thing — it wrote into every empty cell: analysis not possible here.

That honesty fascinated me. Because the easy thing was something else. The easy thing was to fill the empty cells with imagination, to build a beautiful story. But the system that refused to do that was actually following a principle I consider identical to the core principle of blockchain.

[Core]

The core idea of blockchain is this: once information is written into the ledger, it cannot be quietly changed. Each block carries a timestamp, a hash, and a link to the previous block. If anyone tries to alter it, the whole chain breaks, and everyone notices. Cricket data needs this structure urgently, because our problem is not weak data — our problem is that a claim has no source and no timestamp.

Consider an Under-19 player. Someone says the boy averages fifty per innings. A lovely number. But the questions are: In what format? In which season? Over how many innings? At home or away? Against strong or weak opposition? Without answers to those five questions, that 'fifty' is not a block — it is a floating myth.

In 2026, when I was an economics student in Delhi, India's Under-17 World Cup taught me a new craft. I started a blog called Youth Archaeology and began tracking England's Rhian Brewster. He won the Golden Boot with eight goals, and England beat Spain 5-2 in the final. But I did not just write the number of goals. I wrote where Brewster's goals came from.

I went back to the India 2026 tapes to excavate Brewster. I watched clip after clip, when he received the ball, when he did not. It turned out many of his goals were not the product of his own dribbling. They came from his off-ball running — he slipped through the gaps of the press into spaces where defenders simply could not reach him. England's entire pressing structure stood on that invisible running.

That is where the first block was built. I did not claim, 'Brewster is a future superstar.' I claimed, 'In this specific match, at this specific moment, from this specific position, his running kept England's press alive.' The claim was small, but it was verifiable. And a verifiable claim is a valid block.

The next year, at the 2026 World Cup in Russia, I volunteered as a data logger for a Delhi sports news outlet. After France beat Croatia 4-2, I built a spreadsheet of Under-23 minutes for all thirty-two teams. I focused on Kylian Mbappe — he was nineteen, scored four goals, one in the final.

But my real interest was not in the goal count. I wanted to see how France's young legs served Didier Deschamps' defensive shape. Mbappe's speed did not only create goals — it pushed the opposing defence back, which gave France's midfield more room. France's 4-2 says more than the scoreline does.

From these two experiences I built a method I now call the 'minutes ledger.' Its rule is simple: before making a big claim about a young player, count his minutes. How many minutes? At what level? In what role? Without answers to those three, any comment about him is an empty block.

Minutes are evidence. But minutes alone are not enough, because minutes also have a source. And the question of source is the most ignored thing in Asian cricket.

In 2026, when COVID emptied the stadiums, I was interning remotely with the youth setup of Sudeva Delhi FC. Fourteen Under-18 players in isolation, no matches, no training. I created a six-week remote programme — match archive reviews, mental-skills check-ins, and an individual development plan for each.

In that period I took late-night calls. A boy would ring at midnight and say, sitting at home is making me want to quit cricket. I did not answer, 'Everything will be fine.' I listened. A little later he would say himself that he would go back to the nets tomorrow.

At Sudeva Delhi, remote welfare was the season no one broadcast. No highlights, no scorecard, no trophy. Only eleven of fourteen surviving into the next season. Inside that survival was countless invisible labour — a coach's late-night calls, family pressure, a teenager's fight with himself.

When I try to write this story, I hit a problem. Because this story has no verifiable block. No one can prove that late-night call happened. But here lies a limit of blockchain, and a big lesson of cricket data: not every truth is captured in numbers, and not every number is true.

Here I see two mistakes we make equally.

The first is over-quantification. We count a teenager's every ball and turn him into a machine. We say his average is this, his strike rate that, his launch angle this. But we do not ask how many hours he sleeps at night, whether his knee hurts, when his school exams are. Data then does not protect the player — data turns the player into a sample.

The second is void-filling. When data is missing, we fill the cell with imagination. We say, 'There is something extraordinary in this boy.' But what 'something'? Where did we learn it? Who said it? When? Asking those questions means verifying the block. Not asking means minting a fake block.

I have walked through both mistakes. So I now try to follow a simple rule: if there is no data, I do not invent data. I leave the empty cell empty, and write — no information here. That is honesty, and that is the real 'proof of work.'

Now to the structure of Asia's youth systems. In Bangladesh and India, young cricketers are produced along two different but parallel paths. India has a vast academy network — hundreds of academies in Delhi, Mumbai, Bengaluru, Chennai, with separate Under-14, Under-16, Under-19 teams. Bangladesh has fewer academies, but no less youth-cricket pressure — in Dhaka's age-group leagues, a boy's career can be decided at sixteen.

Both systems share one feature: the ladder upward is narrow, and the teenagers standing on it are often invisible. We only see the handful who reach the top. We tell their stories, print their photos, trend their names. But those who fall off the ladder — injury, age-fraud allegations, financial pressure, study pressure — have no ledger at all.

This is why I believe youth cricket data should not be performance data alone. It should be care data. How much load is that teenager's shoulder taking? How much rest is he getting? Has his age been verified? Is his education continuing? Without those answers, a scorecard is an incomplete ledger.

One blockchain idea helps here — 'chain of custody.' Wherever information is created, through every step to where it is used, who touched it should be recorded. The same for a teenager's performance data: who made it — scorer, coach, or social media page? Who verified it? Who broadcast it? If no one is accountable at every step, the number circulates through unknown hands, and its meaning changes.

I have seen this myself. In a domestic tournament, a young all-rounder took six wickets. The headline read, 'A new star is born.' But when I watched the match, every wicket came against weak opposition, on a spin-friendly pitch, and two catches were dropped. The number was true — six wickets. But the story was false.

So when I write about anyone, I separate three layers.

First layer: raw numbers. Six wickets, fifty runs, eight minutes. These are not blocks; they are only data.

Second layer: context. On what pitch, against whom, at what time, in what role. Without context, raw numbers are meaningless.

Third layer: interpretation. What this number means, and what it does not. Here the analyst enters, and here most errors happen.

Most of our errors come from jumping straight from the first layer to the third. We skip context, because context is complex and complexity does not attract readers. But skip context and what we build is not analysis — it is entertainment.

The biggest victim of this context-skipping is the young player. Because his sample is small, and on a small sample, any conclusion is possible without context. Anyone can, on one match, make a seventeen-year-old the 'next Virat Kohli,' or on that same match dismiss him as 'overhyped.' Both claims are equally baseless, because both are context-free.

So in my method I have built a habit: next to every claim I write its confidence level. If it rests on ten matches of data, confidence is high. If it rests on one, confidence is low, and I say so plainly. This is blockchain's 'confidence score' — I do not know what the future holds, but I know how solid my knowledge is.

Now to the transfer window, because this is exactly that season. Every year at this time I see a fixed pattern. A franchise wants to buy a young player for a big sum. The media spreads the number. The number looks magnificent — crores, a big contract. But stand behind the number and you find the player's top-level experience may be under fifty matches.

I want to say this clearly: paying huge money for few matches is not analysis, it is gambling. The club or franchise doing this is really betting on an uncertain possibility, and the risk of that bet falls mainly on the young player — because the weight of expectation is on his shoulders, while the commercial risk sits in the board's books.

Here the blockchain metaphor helps again. A young player's value should be set on his verifiable blocks — how many minutes, at what level, in what role, under what physical load. But in the market the opposite happens. Value is set on his recent highlight clips and the agent's story. The agent is that account that trades without a ledger.

Here I want to recall an old mistake of mine, because it is instructive. Some years ago, after an Under-19 tournament, I wrote an excited piece about a young batter. On the basis of two innings I predicted he would soon enter the big stage. The next season he was injured and stayed off the field for nearly a year and a half.

That was when I understood my prediction was not merely wrong — it was harmful. Because my piece had placed a burden of expectation on him that he could not carry, especially when injured. That lesson changed me. Now I ask first: will this claim benefit the player, or only my reader? If the answer is the second, I trim the claim.

I write all this from a fear that many of my colleagues still do not admit. The fear is the flood of information in the age of artificial intelligence. Now anyone can, in seconds, produce ten paragraphs about a young player — in beautiful language, in a confident tone, but without a single verifiable fact. And this manufactured writing spreads exactly the way an empty scorecard's story used to spread.

This is where the blockchain principle becomes so relevant. If a system demands the source of every claim, keeps the timestamp of every claim, and shows the confidence level of every claim, then fabricated information cannot survive. Because fabricated information has no link — it has no previous block behind it.

I try to apply this to my own work. When I write a report, I note beside every number where it came from — scorecard, my own watched match, or someone's interview. If information is missing, I say so. I do not want to fool the reader, because the reader is not foolish — the reader is merely busy.

This method has a social side I understood while living in Delhi. Some of my readers are in Bangladesh, some in India. The two countries' cricket memories differ, their expectations differ, but the problem is the same — in both countries we show a kind of violent enthusiasm toward teenage players. One day someone is 'the hope of tomorrow,' the next month a 'disappointment.' In that oscillation the player gets lost, and only the headlines remain.

So in my work I have drawn a boundary: I will not call any teenager 'the next' anything. I will say what he is doing right now, in what context, and what obstacles may lie ahead. It is less exciting, but it is more true.

[Contrarian]

Now I want to say something uncomfortable, something that goes against my own profession. I am a data-driven analyst. Yet I believe data analysts are now walking into the dressing room, and their conclusions are often detached from the actual rhythm of the match.

The reason is simple. Data says a bowler is most successful at this length on this pitch. But data does not say that bowler's father is in hospital, or that he did not sleep last night, or that his captain is not giving him confidence. Cricket is a human-driven game, where weather, fear, fatigue and relationships together decide the outcome of a single ball. Numbers are only one part of this world.

And this is why I am sceptical of the current transfer-window fever. Right now a 'young premium bubble' has formed in the market. An untested teenager is often priced higher than an experienced player, purely in the name of 'potential.' I believe the time for this bubble to burst is near. Because a franchise pouring crores year after year behind a teenager with few matches will one day balance the books and see — valuing without verifiable blocks was an expensive mistake.

But there is a subtle trap here I want to avoid. Because the bubble bursts, I do not want to show neglect toward the young. My point is the opposite: a young player must be valued on his verifiable blocks, not on his highlight clips. Which means, to buy him, look at his minutes ledger — how many minutes, at what level, in what role, under what physical load. If that ledger stops at five matches, his price should be worthy of five matches, not a hundred crore.

And there is a paradox here I want to make clear. If the blockchain metaphor is used wrongly, it can create a new kind of cruelty. Because verifiable data protects only those players whose play is recorded — whose matches are broadcast, whose scorecards go online. But a large part of Asian youth cricket is simply not recorded. The teenager playing on a mofussil ground has no block. If we value only on recorded data, we will actually give more advantage to the recorded privileged, and make invisible talent more invisible.

So my real position is: a ledger is necessary, but a ledger is not complete. Analysis without numbers is blind, but so is a lack of compassion toward people — and that compassion is cricket's life. We need both, and it is often the order we get wrong.

I accept this because I have seen it. At Sudeva Delhi, those who survived into the next season were not all the best data-rich players. Some had lower averages, some had weak physiques. But there was something in them no spreadsheet captures — a stubbornness, a habit, a 'I will try again' mindset. That thing I can only sense by watching, not measure. And the analyst who pretends to measure what he cannot, is really fooling the reader.

[Takeaway]

So I want to end this piece with a question, not an answer. If we build a verifiable ledger in Asian cricket — where every young player's minutes, context, physical load and care data are chained like a block — how many invisible talents could we protect in the next decade?

And the opposite question is equally urgent: if we do not, if we fill empty cells with imagination and keep inflating expectation bubbles around the young, how many teenage cricketers will break under the weight of our hype, with no one keeping the count of that breaking?

I do not know the answer. But I know that at two in the morning, when I look at an empty cell, I now have two choices. I can fill it with a beautiful lie, or leave it empty and tell the truth — that the information has not arrived yet. I have chosen the second. Because cricket's real blockchain is that ledger where every truth is chained to the truth before it, and every empty cell stands as a monument to honesty.