The Billiards Table Has No Positional Data, and Analysis Is Living on Memory

On 6 June 2026, the WPBSA published sanctions against ten Chinese players after a months-long investigation. Two received lifetime bans; the rest were suspended for between a few years and more than a decade. British outlets called it snooker's darkest day since 2026, when John Higgins was caught in a media sting, was later cleared of match-fixing by an independent tribunal, and was punished only with a six-month ban and a 75,000-pound fine for failing to report an approach.

I read the ruling a third time before I understood what was bothering me.

The entire case was built on betting data. Unusual wagering patterns. Newly opened accounts. Matches flagged by bookmaker algorithms. Not a single technical metric entered the proceedings, because this sport does not produce technical metrics at that level of detail.

In seventeen years commentating on billiards, I sat through nearly every classic final of the Steve Davis and Stephen Hendry era. What I carried out of that period is not a list of titles but a steadily heavier feeling: this sport is not short of results. It is short of process. Every statistic sheet in existence recounts where the balls went. None recounts what the player was thinking before he put the cue down.

One word, four disciplines

The word billiards is an umbrella covering four disciplines that differ in rules, in tables, in balls, in economics and in talent pipelines.

Snooker is played on a twelve-foot table with fifteen reds, six colours, and small rounded pockets. American pool is played on a nine-foot table with corner pockets wider than four inches. Chinese 8-ball — the discipline that pulled Gareth Potts from England to China and turned him into a different name entirely — uses a twelve-foot snooker-style table but larger balls and pool rules. Carom, or three-cushion, has no pockets at all; in Vietnam it is an elite sport, and it is the discipline where Tran Quyet Chien and Bao Phuong Vinh once met in a world final.

Those four disciplines get folded into one word, and then into one style of analysis.

That is the first reason data here is fragile. When an article states that a player has a 94 percent pot success rate, the reader has no way of knowing which table it came from, how wide the pockets were, how heavy the balls were, whether the cloth was fast or slow. A cut into the corner pocket of a nine-foot pool table and a cut into a snooker pocket are two different actions in terms of mechanics. On paper, they are the same percentage sign.

For Vietnamese audiences the confusion runs deeper. Most viewers here grew up with three-cushion, where there are no pockets and a shot is judged by the cue ball's path across three cushions and the position it leaves for the next visit. When they switch to snooker on sports channels, they carry that old standard with them and apply it to a different discipline. The sense that a player is playing well is formed from a frame of reference that does not exist in the game on screen.

Pretty numbers and what they cost

Distance covered and sprint counts in football are packaged as effort metrics, but useless running still produces handsome numbers. Billiards has no distance to count, so it counts something else: century breaks, 147 maximums, pot success rate, safety success rate. Four families of metrics, and all four share one structural flaw: they record the final outcome of a process without recording the process.

Century breaks are the most quoted form indicator. A century made in a dead frame, with the opponent already gone, carries entirely different weight from a run of forty in a deciding frame at 8-8. The stat sheet does not distinguish the two. The viewer does, for about three seconds, and then forgets.

Pot success rate is calculated across every shot played with scoring intent. A player at 94 percent is usually someone who feasted on easy balls early, when the table was crowded, the position was wide, and the pressure was zero. A player at 91 percent who missed one long red at the decisive moment may have been the better player that day. The scoreline cannot say so, and no format of the stat sheet allows it to say so.

Safety success rate has the same problem. A safety is scored as successful when the opponent fails to pot. But two very different safeties exist: the one that genuinely buries the opponent, and the one that merely returns the table to a neutral state and waits. Both are logged identically. Meanwhile the safety that creates a chance — the most expensive commodity in this sport — carries no separate score.

In a discipline that records only outcomes, the analyst is forced to tell stories instead of measuring. And when storytelling is the only tool available, the better narrator beats the more accurate one. This follows from the data infrastructure, not from the writer's imagination.

Snooker has CueTracker, the WST database, and season-by-season century counts. Pool has FargoRate, a head-to-head win-ratio rating system that is genuinely sophisticated. Three-cushion has the UMB system. All three stop at the outcome layer. Nowhere is it recorded how many steps a player took around the table before bending down, where his eyes went, how long he paused in the set position.

The only metric I have seen published widely that reaches the process layer is average shot time. It does not measure intent, but it measures rhythm. Rhythm is the thing that shifts most visibly when pressure rises. A player averaging seventeen seconds per shot across a match can drop to fourteen when behind, or stretch to twenty-five when standing over the decisive ball. The audience hears the shift. No table aggregates it frame by frame for comparison.

At the organisational level, another metric plays a double role. The professional snooker ranking list is calculated on prize money accumulated over two years. Which means the order on the ranking list does not reflect form; it reflects the cash flow a player has moved through across the last two seasons. A financial mechanism presented as a sporting measure. Anyone who watches the rankings long enough knows this, but it is rarely said out loud in a bulletin.

Prize structure deserves the same scrutiny. The World Championship at the Crucible carries a total purse many times larger than the ordinary ranking events, which forces a mid-tier player to live by shuttling continuously between small events in Asia and Europe to accumulate points. That system does not retain the best players; it retains the ones who already have sponsorship. Most young professionals leave the sport not because they play badly, but because they cannot fund the travel in their first two years.

At the commercial level, Matchroom took over and packaged the professional pool circuit into the World Nineball Tour from 2026. The packaging clearly improved the broadcast product: lighting, camera angles, cutting rhythm. Publicly released data did not grow to match. A commercial promoter's priority is the television product, not data depth, and that is rational on their side.

The 27-centimetre zone

In 2026, in Russia, I measured the average distance from Luka Modric to the opposing holding midfielder each time he received the ball, named it the 13.7-metre zone, and turned a detail nobody noticed into a way of reading a match. On a billiards table the unit is not metres. I tried something else: measuring the distance from the tip of the cue to the cue ball at the moment the player begins drawing the cue back, on the shots I judged most important in a frame. The figure hovered around 27 centimetres for most professionals. What matters is the deviation, not the average: shots where the player drew back further or shorter than usual were often the shots he had recalculated at the last second.

No organisation collects this data. I measure by eye and slow-motion replay, which means I can only do it for a few dozen shots per match, and I have to accept that my sample is small enough to generate hypotheses and not conclusions. But that is precisely the point: the tilted diamond only appears when you stop looking at the ball. The structure of a frame does not live in the sequence of balls dropping into pockets. It lives in the silence before it.

Every genius leaves behind a gap few people can measure. In billiards, that gap remains unmeasured because nobody has paid to measure it.

The blind spot: who pays for process data?

One possibility is technical. Tracking cue-ball position in real time demands cameras with far higher resolution and frame rates than a football pitch does: the ball is smaller, it moves faster, and a billiard table offers no anchor points for calibration. The cost for one table is trivial. Multiplied across hundreds of tables at dozens of events per season, it becomes another conversation.

Another possibility is economic. Nobody pays for process data in billiards because the end consumer only buys outcomes. Spectators buy tickets to watch balls drop. Sponsors pay for airtime. Until the betting industry worked out that process data can be priced better — which is exactly what happened, producing the ten sanctions announced on 6 June 2026.

The third possibility concerns power structure, and it is the one I distrust most yet cannot rule out. A discipline that cannot be measured is hard to hold to a measure. Governing bodies publish figures on sanctions, on event numbers, on broadcast revenue — things that flatter the image. They do not publish data that would let outsiders assess the quality of play, because quality of play is something that can be used to question them.

All three possibilities converge on one point: the only party that has built serious data infrastructure for billiards is the betting industry. They did it out of direct financial incentive, not love of the game. The result is a paradox — the sport's most reliable data source sits outside the hands of the body that governs it, and is used mainly to catch the sport's own people.

That paradox leaves a gap, and the writing trade fills it with memory. I have done so for seventeen years. Sitting in a commentary box with no table to consult, I talk about cue rhythm, about how a player tightens his shoulder, about whether he left his chair after losing a frame. All of it is evidence. None of it can be verified by the listener.

A match ends at the eleventh viewpoint. What the main camera misses is not the final shot but the entire chain of decisions leading to it.

What to verify next match

The annual season is at its midpoint, when form starts showing through the shell of the league table. For the next match I will track two things that no stat sheet compiles in advance.

The first is average shot time, measured frame by frame and by scoreboard situation, to see where a player's rhythm drifts. The second is conversion rate from a good safety to a scoring chance within the same frame — something measurable only by sitting and counting.

If both metrics move with results across three consecutive matches, I will believe process says more than outcome. If they do not, I will have to rewrite my hypothesis. I do not watch billiards for entertainment. I watch to decode. And with no data and no evidence, I say nothing.