Cricket's Blockchain Moment: Who Do You Trust With Tournament Data?

Last week I watched a night match from a Singapore flat, one eye on the feed, the other on the Dubai office timeline. In the seventeenth over, the win-probability graph on screen jumped, from 62 to 38. No batter was out, no dot ball was bowled, only a review and three minutes of estimation. Within three minutes, three different screenshots flooded social media, each carrying a different number. The argument was not about cricket. It was about data — whose feed was true, whose model was wrong, and who would verify it.

I closed my eyes and thought: if every ball were written into a blockchain, there would be one screenshot instead of three. But is cricket really that simple?

I am not writing about blockchain because I am a crypto trader. I am writing because my job is to turn data into stories, and over the past few years a crack has opened inside cricket data — one that blockchain might heal, or deepen. I am thirty-six, a sports data analyst, born in Bangladesh, based in Dubai. Every tournament makes that crack clearer.

I open the xG file like a monastery door: quietly, then all at once.

The 2026 T20 World Cup runs across February and March in India and Sri Lanka, with twenty teams and more than fifty matches. The bigger the tournament, the greater the demand for data: ball-tracking on every delivery, strike rate, expected runs, fielding heatmaps, win-probability curves. The problem is that this data has no single owner. Broadcasters, official partners, betting feeds and analytics firms each build their own version, and each claims to be the accurate one.

From my decade of watching matches, I can say that as viewers we trust a number simply because it is printed large on the screen. Under tournament pressure, that trust is the weakest point of all. A disputed run-out, a no-ball, a DRS call — any single moment rewrites the story of a match, and suddenly everyone holds a different number. Sitting in the Gulf, we often watch on delayed streams, and those few seconds of lag only widen the argument over the numbers.

This is where blockchain becomes relevant. The idea is simple: every ball, every run, every update written into an immutable ledger that lives not in one place but across many nodes. No one can unilaterally change a number. Through fan tokens and collectible NFTs, clubs and leagues are already walking this path, and cricket is no exception.

But I want to stay cautious. Who owns the data is one question; what the data means is another. Blockchain can answer the first, not the second.

Blockchain can raise the credibility of cricket data, but it cannot raise the quality of analysis.

That distinction matters. A blockchain is a ledger — a kind of digital diary whose entries cannot be erased. At the 2026 World Cup in Russia I ran live data threads. In Belgium versus Japan, Japan led 2-0; Japan's PPDA was 6.9, Belgium had 24 shots, and xG read 3.1 against 1.4 — Belgium won 3-2. I live-tweeted every swing, and every refresh was a pulse I had to keep holding. During Russia 2026, every refresh felt like a pulse I had to keep. Had every pass and every sprint been genuinely verifiable then, my thread would have needed fewer corrections.

Borrowing football's xG vocabulary, I build expected-run and win-probability ledgers for cricket. That act of translation teaches something: the language of data may change, but the rules of verification stay the same. I bring the spreadsheet to the party, then leave with the story.

In cricket, the practical application splits into three layers.

The first layer is recording. Whatever the ball-tracking cameras see is written straight into a ledger. If someone later claims a strike rate was wrong, it can be checked. In 2026 in the Singapore league, Stipe Plazibat scored 37 goals against an xG of 24.8, a plus-12.2 overperformance. Many doubted that number. Had the raw shot data sat on a blockchain, the doubt would have had nowhere to land — it would have settled on the model instead.

The second layer is ownership. A player could own the data of his own performance and set terms in a contract for where it may be used. That is a major shift for cricketers, especially during tournaments, when sponsors and broadcasters monetise that data. For Bangladeshi players the stakes are even higher, because their performance data often slips into the hands of outside companies.

The third layer is the audience. Fan tokens let supporters vote; NFTs let them buy a historic delivery. But this is where the line blurs. Fan engagement and cricket truth are not the same thing, and confusing the two leaves the data hollow.

My deepest worry is the input. A blockchain records whatever it is given. If a ball-tracking system places a camera in the wrong spot, or a scorer makes an error, the mistake becomes permanent, with no way to erase it. When garbage goes in, garbage sits locked in a golden cage. This is an old truth for any data analyst; blockchain does not change it, it only makes it permanent.

Cost and speed are barriers too. Cricket is a real-time game; a ball arrives every two minutes. Blockchain verification can be slow, and during a tournament seconds are everything. If data arrives two overs late, its analytical value collapses. So the likely fix is a hybrid model: a fast centralised feed, with final verification on a decentralised ledger.

There is another complication no one likes to admit — the betting feed. The betting market is the hungriest buyer of cricket data, and there speed outweighs quality. If blockchain slows the feed, the betting market will take another route, and blockchain will sit outside the mainstream. The technology may be good, but it cannot stand alone if it does not match market demand.

Now let me turn to the side blockchain enthusiasts skip past.

Blockchain can prove the authenticity of data, but it cannot prove the meaning of data. Whether a ball's expected runs are correct is not a blockchain question; it is a model question. In 2026, during the empty-stadium days, I understood this: the empty stadium taught me that silence has its own expected goals — that is, no number is whole without context. In the first forty empty matches of the pandemic, home teams won only 21.4 percent, down from 43.2 percent before. The number is true, but without interpretation it is only half true.

Blockchain stays silent there. It can confirm that a ball truly happened, but it cannot explain why it happened. And that gap is the biggest trap: viewers will assume that verified means understood. Verification and understanding are separate jobs.

The second trap is hidden centralisation of ownership. If the ICC or a major broadcaster runs the only node, then the word decentralised is mere decoration. Blockchain then becomes old power in new wrapping. History suggests cricket's big bodies do not like surrendering control, so this risk is real.

So what comes next?

I believe the next big fight is not over the ledger of data but over its interpretation. The model that is verifiable, explainable and context-aware will survive. Mid-tournament, when a viewer looks at a number on screen and asks who said so, if the answer is an open, verifiable ledger, cricket wins. If the answer is our own proprietary model, then even blockchain will not save it.