The Empty Column: Cricket's Real Analytics Risk Is the Number With No Receipt

The Empty Column: Cricket's Real Analytics Risk Is the Number With No Receipt

It was May 2026, in a press box in Mumbai. The man in the next seat swivelled his laptop towards me and pointed at a screen: a player's "impact score", to one decimal place, in bold type. I asked three questions. Which match is this from? Which innings? Which over was it triggered in? None of the three had an answer. The number had come from a slide, the slide from a television panel, the panel from a group chat. By that evening it had travelled through three WhatsApp groups and one debate show, and nowhere along the way was its source written down.

On my own laptop that same day there was another sheet. Seventy-four rows, 138 entries. Each row carried a date, an over number, and whether the team had used a specialist death bowler in the second innings. I built that sheet myself, by hand, across the whole season. I had a receipt. The man in the next seat had a number.

Indian cricket has had statistics for thirty years, but the business of statistics is fifteen years old. After 2026 the franchise system put a price on every match; DRS gave every delivery an opinion; fantasy leagues handed every viewer a scoreboard. By the mid-2010s every major franchise had an analytics department, every broadcaster had a graphics team, and most press boxes had at least two people looking at their screens instead of the scorecard.

When the Impact Player rule arrived in 2026, it added one more layer to the supply. The rule itself was simple — one substitution, during an innings. What it did was not containable inside a scorecard. That season I built my own sheet because, before trusting anybody else's figure, I wanted to see how the figure had been made.

Something else changed around the same time and got far less coverage. Numbers now reach the reader through three or four layers — extraction, summarisation, scroll. And when something breaks inside those layers, it does not make a sound. The system quietly returns an empty shell. No error, no alarm. Just a box with nothing in it, which on the next layer up reads as a box that has been filled.

My job for thirty-nine years has been to decide which number came from where.

Cricket has a peculiarity. A scorecard looks honest. 38 off 47 balls, two wickets in sixteen overs — these figures are so clean that lying with them becomes easy, because a fake number does not sound different from a real one. Both carry a decimal. Both are set in bold.

The biggest risk in cricket analytics is not bad mathematics. It is confident prose. A sentence that sounds authoritative and beneath which sits not one traceable fact.

In recent months I was handed an analysis in which eight separate templates had been filled — format, player, team, league, governance, risk, narrative, industry. Every template was present. Look inside, though, and every field was empty. No title, no source, no date, not a single information point. One thing came back from the entire document: a tag reading "cricket_asia".

What that analysis did is rare in my trade. It refused to write.

And that refusal, that silence, is the most valuable product in cricket journalism today. Because if that same system had taken one step forward and printed "effective strike rate 148.6", the figure would have reached three newsletters, two podcasts and an auction table within twenty-four hours — and nobody would have noticed.

Reading that document, I counted five silences, and all five happen in cricket every week.

The first is fabrication. When the source is empty and the template still has to be filled, a person guesses. In cricket that is the most expensive guess there is, because from here the number travels into selection meetings, auction tables and betting markets.

The second is silent failure. The system did not return an error. It returned a well-formed empty shell. That is a wicketkeeper dropping the catch and smiling through it. At a thousand items, you would never know when your data ran out.

The third is mis-labelling. The only thing that survived the empty document was a regional tag — Asia. Now consider what happens if that tag enters a regional queue. Out comes a comment spoken in the rhythm of an India–Pakistan contest, sounding locally grounded, resting on nothing. A tag tells you where a file sits. It does not tell you what is in it.

The fourth is counterfeit confidence. Any analysis built on an empty foundation will carry "high confidence" labels that are paper horses. Cricket has watched this for decades. The 2026 match-fixing scandal, the 2026 Pakistan spot-fixing case, the 2026 IPL case — in each one the problem was never a shortage of information. The information existed. The checking did not happen.

The fifth, and the quietest, is the screen that never ran. When the document is empty, the integrity check does not execute. The danger is that an empty check gets recorded as a clean one. In cricket, an empty check has never meant clean. It has only ever meant that nobody looked.

One more thing that was natural in older reporting and has gone missing: format. A Test strike rate and a T20 strike rate are not the same quantity. Six runs an over is profligacy in a T20 and parsimony in a Test. If a number does not carry its format, it is half a number. The document that taught me to stay silent had an empty format field too — and it refused to assume that a number could belong to any format at all. That refusal is the discipline.

When the Impact Player rule came in for 2026, I logged the whole season on my own sheet — 74 matches, 138 activations, and the over in which each was triggered. By the end I had a finding that never appeared in a broadcast graphic.

The rule had quietly turned the No. 8 batter into a specialist. He used to be an all-rounder: two overs with the ball, a batting slot lower down. Now teams began keeping a swap in that position who never took the field at all, whose real job was to sit on the bench. A player who once bowled was now not even fielding twenty overs. None of this shows up on the scorecard, because a scorecard counts only those who played.

So I inverted my order that season. I filed the plain-language explainer first — for the spectator in the cheapest seat — and the analytical piece after. I knew the person in the stand could not follow when the substitution had happened. If the rule makes no sense to them, who is the analysis for?

The impact spreadsheet did not measure the player; it measured what the team missed.

That is where every metric slips. A bowler's workload does not appear in any column. The field that was never set does not enter any sheet. The fielder who saves two runs does not fit inside a decimal. And the seamer who breaks down after four overs and misses the next match has no column for his tiredness either.

Over thirty-nine years I have built a ladder, and every figure now gets placed on it. At the top, the official scorecard and the board's release. Below that, the large statistical databases — ESPNcricinfo, Cricbuzz, CricViz. Below that, a trusted beat reporter's file. Below that, the team press note. And at the bottom, the number that was born in a chat group and died in a graphic.

A number's authority should match the rung of its source, not the weight of its font.

When someone tells me a figure came from "the analytics department", I ask the same three questions I asked that evening in May. Which match, which innings, which over. If all three come back, the number is useful. If even one does not, the number is worth nothing, however handsome it looks.

I keep one simple rule. For any off-season story I need three things: a date, a name, and a document that corroborates the date. Without those three there is no story, however good it sounds. I apply the same rule to analytics, and to a new pipeline as much as to an old column.

In 2026, when the BCA–Mafatlal bowling scheme was set up, Frank Tyson was brought in and a generation came through: Abey Kuruvilla, Paras Mhambrey, Sairaj Bahutule, Salil Ankola, Nilesh Kulkarni. Try pricing that scheme today. What do you count? Kuruvilla's wickets? Mhambrey's bowling average?

You cannot count it. Because the scheme's actual output was five bowlers who stayed inside the system, men who would otherwise have finished up on a colony ground somewhere. That is a number no spreadsheet writes down. And the ledger was never about numbers; it was about who kept showing up.

In 2026, across sixty-eight days in the UAE bubble, I saw this most clearly. The stadiums were empty. On the stump mic you could hear the ball thudding, the keeper's gloves snapping, and the absence of thirty thousand people. My copy that season was built from sound rather than figures. The same season I set two rules for myself: stringers and desk hands get named in my pieces, and I never file a line that exposes a colleague's absence. When a colleague's father was hospitalised back in Mumbai, I wrote and filed his match reports for nine days and told nobody at the desk.

The press box taught me this: the loudest story often starts in the quietest notebook.

Now to the part the industry will not agree with.

The industry's assumption is straightforward: more data, better decisions. My experience runs the other way. The more numbers have multiplied, the less traceable they have become.

Look at what happened. In 2026, when the first scorecard arrived, every number had an owner — the scorer. Today at least four figures circulate for a single player: the official average, an impact index, an auction price, and some panel's "form score". All four tell different stories and all four look identical. Which one does the reader trust?

The world outside believes an analyst's skill lies in his calculation. I think it lies in his silence. The analyst who can say "I do not have the information for this" is more trustworthy than the one who answers every question with a decimal.

This is where I part company with my own trade. We have decided that an empty result is a failure. It is not. It is the honesty we are unwilling to pay for. A system that returns an empty output for an empty input is doing exactly what it should. The real failure is the one that fills the empty space with a handsome number — and bolds it so nobody asks.

At next season's auction table there will be a player whose price is set by a number, and that number will be written in somebody's sheet, not carried in somebody's head. The question is: who owns the sheet?

The next time I watch a figure move through three group chats from a press box, I will ask the same three old questions. Which match? Which innings? Which over? And if there is no answer, I will open my notebook — a blank page, and no room in it for that number.