World Billiards Speaks Five Languages and Has No Dictionary

In March 2026 I opened a spreadsheet with what looked like a simple goal: rank the ten best cueists in the world, regardless of where they play or which discipline they play. Three weeks later I closed it with the first column still empty. The difficulty was not a shortage of data — billiards has more of it than I expected. The difficulty was that no piece of that data speaks the same language as the next.

For a data journalist, that is a particularly uncomfortable kind of failure. I grew up in a trade where any football match reduces to hundreds of metrics: expected goals, square metres defended, peak acceleration counts. Sitting down in front of billiards, I realised I was holding a scale whose weights were each measured in a different unit. Every time I tried to read a result, I had to ask myself which ruler I was reading with.

Billiards is not one sport. It is a family of five disciplines sharing a single name.

That family is snooker, American 9-ball, American 8-ball, Chinese 8-ball and three-cushion carom. Five branches, five rulebooks, five tournament systems, and for me five data systems that cannot talk to each other.

Snooker has CueTracker, it has the WPBSA, it has a ranking built on prize money accumulated across two seasons. There, a cueist is measured by century breaks, by 50-plus visits within a frame, by win rate in deciding frames. Nearly two decades of data depth — enough to trace a career from a first professional season to retirement.

American pool has FargoRate, one of the more respectable standardisation efforts in world sport. FargoRate folds 9-ball and 8-ball onto a single rating scale, calculated from head-to-head results across tens of thousands of players, from professional tours to amateur leagues. Technically, it is close to a complete statistical model.

Chinese 8-ball has an enormous ecosystem in Asia, with prize funds and audiences that make plenty of snooker events in England wince. Three-cushion carom has the UMB and a tradition rooted in Europe, South America and parts of Asia.

Put those five systems side by side and the crux appears, and with it the collapse of every attempt I made: they share no common player identifier, no mandatory discipline label on a data record, and no shared definition of even the most basic concepts. A “win rate” in snooker is calculated per frame. A “win rate” in American pool is calculated per match. A “break” in snooker is not the same unit as a “break and run” in American pool. There is no conversion between them, and nobody has stepped forward to build one.

When the discipline label itself cannot be determined, everything downstream is speculation wearing the costume of a number.

Every time I want to compare a snooker cueist with an American pool player, I have to translate by hand, redefine each concept myself, and personally carry the blame for every error. That is a job for one person. In football, it is a job for an entire software library, refreshed before every matchday.

This sounds like a dry technical story. It is not dry. It dictates how fans understand their own sport, how sponsors price a tournament, and how a young cueist is judged before getting a chance to prove anything.

Take football as the mirror, because it is the language I work in. In England, where I live and work, one line still gets repeated as a rule of the trade: “The medal is not on the scoreboard, it is in the xG table.” In football that line has become ordinary, even clichéd. In billiards there is no xG table to mention. People still read results through a 5-3 scoreline in a final, with no way of knowing what the winner actually won with.

There was one moment when I understood how serious this gap is. In 2026 the WPBSA announced sanctions in the largest match-fixing case in snooker history: ten Chinese cueists suspended, among them Liang Wenbo and Yan Bingtao, both former top-16 players. I went back through the flagged matches in the file. What caught my attention was not the suspicious markers in individual shots. What caught my attention was that investigators had to rely on commercial betting logs and testimony, because no internal statistical model of the sport was available to them.

Had snooker possessed a strong enough anomaly-detection system, the case might have surfaced earlier, and perhaps fewer people would have been dragged into it. Football took years to build models like that, and football still gets it wrong. Billiards has not started.

That is the concrete price of a data vacuum: it does not just make the writing thinner, it slows down an entire oversight mechanism.

Based on my experience watching matches at snooker events in England, I always assumed billiards should be an analyst's paradise. The auditorium at the Crucible is quiet enough that a single small noise becomes an event. A cueist at the table is not pushed around by a crowd the way a defender is. In 2026, when stadiums stood empty because of the pandemic, I drew one lesson: “Empty stands, the coach audible more clearly than ever, and the data too.” A low-noise environment let me see repeating patterns that are normally obscured.

Billiards already lives in that low-noise state. And yet I have nothing to isolate. Low noise, but also so little data that I cannot properly test a single hypothesis.

When I try to plot the trajectory of a young cueist, I always remind myself: “A team's journey is not an upward arrow, it is a scatter plot.” A cueist who wins one event is not sitting on a straight line toward a world title. He is floating inside a cloud of data points, and to read that cloud I need the kind of data I am not sure I currently possess.

Money is flowing into Asian billiards. Chinese 8-ball events backed by conglomerates pay out at levels many traditional snooker events can only dream of. Matchroom's pool operation stretches across multiple time zones. Cueists increasingly move between disciplines, the way footballers move between leagues. That movement is what exposes the gap.

When a snooker cueist accepts an invitation to a pool event, we have a story worth reporting, but almost no way to report it with data. His ranking in one system says nothing about the other. Nobody has taken responsibility for translating between the two.

In this trade I have heard one line many times: “The transfer market is essentially a regression model, but everyone keeps calling it a race.” That holds for billiards too. The cueist market, tour cards, tournament invitations — all of them are variables that can be predicted if the input is clean. Because the parties use five different scales, the race looks more chaotic than it is.

Here I want to say something I know many people in the industry will push back on.

The common instinct is that billiards needs more data: more cameras, more sensors, more metrics for every shot. I think that diagnosis is wrong, and that a wrong diagnosis leads to an expensive treatment that delivers little.

Billiards' problem is not volume. Its problem is standardisation and identification. More data without a common language only creates more noise. If I had sensors measuring shot power across ten different events, but each event recorded in its own format, I would still have nothing.

There is a familiar trap here: correlation is not causation. It is easy to see one cueist with a high FargoRate and another with many century breaks, then conclude that one is stronger than the other. Those two figures measure different qualities, born from different rulebooks, serving different statistical purposes. Placing them side by side does not make them comparable. It only makes them look comparable.

One small thing in my daily work keeps me thinking. When I receive an empty data extract — no title, no source, no entities, just a single label reading “billiards” — my first reflex is to stop, not to fill it with guesswork. That emptiness is itself information. It tells me some pipeline has broken, and broken at the earliest stage: discipline identification.

For global billiards, that is exactly where the break is. Missing cameras are not the problem. Missing audiences are not the problem. What is missing is something smaller, humbler and far harder: a shared dictionary.

So what is the signal for the next cycle?

I am not waiting for a grand solution. I am waiting for small, concrete, verifiable steps. A shared player identifier between two systems. A single definition of the concept of “winning”. A mandatory discipline label on every data record. Boring tasks that few people want to fund, and the precondition for everything downstream to mean anything.

Until then I will keep writing about billiards, and I will keep doing it the way I always do: stating clearly the limits of the data I hold.

Data limits: this piece rests on my personal observation of the five current billiards data systems — CueTracker and the WPBSA for snooker, FargoRate for American pool, the Chinese 8-ball tournament system, and the UMB for three-cushion carom. My sample is the events I have watched directly in England from 2026 to 2026, plus the public datasets of those systems. I have no access to the internal data of any governing body. Conclusions about the pace of standardisation are judgements, not measurements. The relationship between data availability and the speed of investigating disciplinary cases is an observation, not an established causal link.

If anyone wants to check me, start with the simplest question billiards has not answered: as of today, who is the world's number one cueist, and number one by which measure?

I have five different answers to that question. And that is precisely the problem.