The data gap in billiards: why a 147 break cannot be measured against a 2.0 average

In June 2026, the World Professional Billiards and Snooker Association (WPBSA) announced sanctions against ten Chinese players; Liang Wenbo and Li Hang were banned from the sport for life. I read that statement in Liverpool, then did what I always do when something big happens: I put paper on the wall. Four sheets. One for snooker, one for American 9-ball, one for Chinese 8-ball, one for three-cushion carom. The goal was precise — build a nine-dimension comparison table for the whole of billiards, the way I once built 47 diagrams for Manchester City's 5-0 win over Liverpool at the Etihad in 2026. The first three sheets were dense with numbers. The fourth was blank. Four weeks later I understood: the problem was not the blank sheet. I do not watch billiards for entertainment. I watch it to decode it. But to decode, you must first decide what you are decoding — and that is where billiards differs from almost every other sport. Football has one rulebook. Billiards runs at least five rule systems in parallel, each generating its own metric set, none of them convertible into the others. In snooker, greatness is measured in centuries and 147 maximums. Ronnie O'Sullivan holds the record with 15 competitive 147s to date; Stephen Hendry and O'Sullivan have seven world titles each, Steve Davis six. The World Snooker Championship has been staged at the Crucible in Sheffield continuously since 2026. In American 9-ball, the measure is break-and-run percentage and consecutive racks won, tied to the Accu-Stats record-keeping that began in the 1980s. In Chinese 8-ball, people talk about prize funds more than about metrics. In three-cushion carom — the discipline that dominates pool halls in Vietnam — the unit is the average: points per inning, governed by the Union Mondiale de Billard (UMB). Four systems, four languages. And I tried to weld them into one table. The first thing I did was count. For snooker, I took each player's 147 tally over twenty years. For carom, the average per tournament. For 9-ball, break-and-run rates. Then I stacked them all on one vertical axis. That table was meaningless from its first row, and the reason is concrete. A 147 is the product of roughly fifteen minutes of safety play beforehand. To make one, a player must control the cue ball, control position, squeeze the opponent into a position with no reply, and only then begin the scoring sequence. The skewed diamond only appears when you stop looking at the ball: what gets written into the record book has never been the decisive thing. Counting 147s counts the ending, not the construction. It is a beautiful, easily broadcast metric that says almost nothing about quality of control. Carom's average runs the other way. An elite three-cushion match lasts only thirty to fifty innings. At an average of 2.0, a player scores about eighty points across forty innings. The sample is so small that a handful of lucky shots can shift the match average up or down by twenty per cent. The finer the metric, the thinner the sample; the thicker the sample, the blunter the metric. That is a structural trade-off, not anyone's mistake. Based on my experience tracking matches at the Crucible and at several Asian carom events, I tried counting backwards: in the last three matches containing a 147 that I rewatched, the number of safety exchanges before the scoring run began ranged from eleven to nineteen. More than half the duration of that celebrated moment sits outside every statistical table. Then there is the ranking list. The WST snooker ranking operates much like a two-year rolling balance sheet: accumulated prize money sets your position, position sets your entry rights, entry rights set your prize money. A player at peak form can slide down the list because last season he had no entry into a major. Writing about football, I met exactly this structure: when financial reporting pressure presses down on sporting decisions, the first thing distorted is how people are selected. The ranking does not measure quality. It is an agreement about opportunity. And here is where everything touches. The investigation that led to the June 2026 sanctions began with betting-market alerts, then was verified through frame-level data — who missed in which frame, at what scoreline, at what moment. No frame-level data, no sanctions. This is the most important inference in the piece: in systems that do not record at that level of detail — Chinese 8-ball, most regional carom circuits — the same behaviour can exist without anyone detecting it, and no one can prove anything either. The absence of data does not produce innocence. It only produces silence. The industry's reflex is: if data is missing, collect more. I am not certain that is the cure. I have watched enough matches to know that granular metrics can betray the truth in the opposite direction. Football once packaged distance covered as a measure of effort; the result was midfielders running twelve kilometres a match without cutting out a single pass. Billiards risks walking the same road with pot success rate: a player taking ten easy pots will post a prettier figure than one taking ten hard ones. For a metric to mean anything, it must be tied to shot difficulty — and shot difficulty in billiards is something nobody has standardised. Every genius leaves behind a gap few people can measure. Most existing metrics try to fill that gap with a harmless quantity, and that is the biggest blind spot in professional billiards. On the 2026 case, I also refuse a single cause. There are at least three independent explanations: income concentrated too heavily at the top, leaving the mid-tier financially exposed; thin welfare and professional representation for players; and the betting exposure of those competing in qualifiers. The three do not exclude one another, and only one of them can be solved with prize money. The match ends at the eleventh viewpoint. Billiards is knotted up because its data is generated inside different systems, cannot talk to itself, and is read by people who have never sat close enough to the table to know which shot was genuinely hard. Next time someone hands you a billiards metric, ask three questions in order: which rule system is this, how many innings is the sample, and who recorded it. If none of the three has a clear answer, that metric is not data — it is a claim. And a claim always has someone standing behind it.