Professional Billiards: Lessons From an Empty Data Sheet

Spring 2026, I sat in a rented flat in Liverpool with a 2,000-row spreadsheet. English football had frozen. I reopened the 2026-88 Liverpool DVD, rewound Kenny Dalglish's pressing sequences again and again, and logged every player's every movement into every Excel cell. Four weeks. Two thousand rows. Not a single sentence written. I thought I was working. In truth, I was hiding from work.

Then in June, Everton beat Liverpool 2-0 at Anfield. A derby with no crowd. I deleted the spreadsheet and reset to a far smaller question: how does home advantage disappear? The new piece ran 500 words. It pulled me out of paralysis.

That March deadlock freed me from my dependence on the crowd. Since then, whenever I hold a dataset, the first question I ask is not "what does this dataset say" but "what is missing here".

This week I received a different document. It was the preliminary deconstruction of a billiards article. Every field was empty. Title, source, type, core viewpoints, one-sentence summary, author stance, article purpose, entities involved, time sensitivity, the list of information points — all marked "insufficient information". No player named. No tournament mentioned. Not one line of figures.

A novice analyst would fold the document and conclude there is nothing to write. But the void itself is the subject. It forces me to write about something the billiards press in England rarely admits: much of what we call "analysis" is just a spreadsheet stuffed with numbers, built to cover the places where the writer genuinely knows nothing.

An empty sheet and three explanations

When a data sheet is empty, the writer's first reflex is to fill it with guesswork. The second reflex is to declare there is nothing worth saying. Both are the same form of evasion.

The principle I set for myself after that 2026 stumble is simple: for any phenomenon, write at least three distinct explanations before choosing one. If I can only think of one, I do not yet understand the phenomenon. If I can think of three but hold no data to rule out two of them, I am not yet permitted to write.

Applied to this empty document, three explanations surface. First, the Stage-1 extraction failed because the source article was never passed through correctly. Second, the source article exists but contains nothing extractable as an event, a figure or an entity. Third, the domain label "billiards" was wrongly assigned from the start, and the original article belongs to an entirely different sport.

Three possibilities, three different consequences. The first is a technical fault, fixable in minutes. The second is a source problem, and the source must be discarded. The third is a classification problem, which drags the entire downstream analysis chain back to the beginning. If I skipped this step and wrote immediately, I would write about something that does not exist, and readers would believe me.

What is worth noting is that in sports journalism this step is almost always skipped. A tournament takes place, a paper needs copy, a reporter opens a stats sheet, sees a few rows of numbers, and writes. Nobody stops to ask what that sheet is missing. A spreadsheet only shows what has been entered. Its silences never accuse it.

Why billiards resists number-reading

Billiards is a family of disciplines, not a single one. Snooker, American 9-ball, Chinese 8-ball — three different systems of table, ball and rule, sharing one English word, "billiards". That ambiguity is the first trap anyone analysing billiards must clear.

Take terminology. In snooker, a "break" is a player's continuous scoring run within one visit to the table. In 9-ball, the "break shot" is the opening shot of a rack. "Break-and-run" exists only in pool, meaning a player breaks and clears the table in the same visit. Three terms, three meanings, one root word. An analyst who mixes them produces garbage data, and garbage data never reports its own errors.

In England, professional snooker is administered through two bodies: the WPBSA, the professional players' association, and the WST, which runs the tour. The three events known collectively as the Triple Crown are the World Championship, the UK Championship and the Masters. The World Championship has been staged at the Crucible Theatre in Sheffield since 2026, and the final is played over a maximum of 35 frames.

Such a system generates plenty of data: pot success rate, safety success rate, century break counts, average shot time, long-pot success. All of them are proxies. None of them measures what a spectator actually sees: a player breaking his opponent's rhythm with three consecutive safeties into a far corner.

I do not watch football for entertainment. I watch to decode. The same goes for billiards, and I must admit billiards is far harder to decode than football, because football has 22 players moving on a single plane, while billiards is two men sitting down and standing up in silence, with most of the match happening inside their heads.

The break, the safety, and the trap of effort metrics

In football, distance covered and sprint counts are packaged as effort metrics. A player who runs 12 km is described as committed. But running without purpose also produces pretty numbers. A centre-back who runs 12 km because he keeps chasing the ball from the wrong position will post better numbers than a centre-back who runs 9 km because he reads the pass and stands in the right place.

Billiards has a similar trap, and it is subtler. Century break count is the most quoted metric. A player scoring 50 centuries in a season is seen as being in top form. But that number, standing alone, says nothing about whether he wins the frames that matter.

Three explanations for a season of many century breaks. First, the player is genuinely striking the ball better and controlling the cue ball better, a real improvement. Second, the player is accepting more risk, attacking more, scoring more, but also giving the opponent more chances — and his win rate has not risen accordingly. Third, that season's calendar had more short-format events, more frames, more comfortable visits to the table. All three can be true at once, and the stats sheet cannot distinguish them.

On one reporting trip to a ranking event in England, I sat and manually timed the gap between shots of a young player across three consecutive frames. He won all three, and the official match sheet afterwards praised his long-pot success rate. But what I saw from the stands was that he averaged nearly 40 seconds per shot in the first two frames, then abruptly dropped below 20 seconds in the third. His opponent had already come apart, not because he had been potted off the table, but because he had been held waiting too long.

The metric does not record that. The metric records the consequence of it.

2026, 18.5 million viewers, and one flawed inference

One event in snooker history is quoted so often it has become received truth. In 2026, the World Championship final between Steve Davis and Dennis Taylor finished 18-17 after Taylor potted the final black, running past midnight. An estimated 18.5 million BBC viewers watched.

That figure of 18.5 million is routinely used to prove snooker once had a golden age that cannot be recreated today. The inference sounds perfectly reasonable, and if I wrote it down without checking, it would spread further.

Three alternative explanations. First, snooker genuinely was popular in the mid-1980s, and the figure accurately reflects the sport's pull. Second, in 2026 Britain had only four television channels, and at midnight essentially one was broadcasting, so the entire television audience collapsed into a single point. Third, the match ran past midnight, catching a late-night audience that would not normally watch sport.

All three factors contributed, and the correct reading is this: the 18.5 million figure measures the structure of British television in 2026 at least as much as it measures the health of snooker. Today, when a final draws 2 million viewers across ten different platforms, comparing the two figures directly is a serious logical error.

This is precisely what I mean when I bring up the empty document. A piece of data says nothing on its own. It only says something when placed against a structure.

The class of 2026 and the illusion of a deep pipeline

One of the great anomalies of professional snooker is three players born in 2026: Ronnie O'Sullivan, John Higgins and Mark Williams. All three born in the same year, all turning professional within a short window, all still winning major titles deep into their late forties.

A purely statistical sheet would register this as an anomaly. Three individuals born in the same year, in the same country, peaking across the same era. The probability of that happening by chance is very low.

Three explanations. First, this is a rare generational talent cluster, like Manchester United's class of '92 — a group of outstanding individuals who happened to meet at the same academy. Second, the format of major events favours experience: long matches, multiple sessions, many frames, rewarding those who manage energy and temperament better than those with the best raw technique. Third, the development pipeline beneath them is thinner than assumed, and these three simply have not been replaced fast enough.

The crux is that all three explanations lead to completely different conclusions about the sport's future. If it is a random talent cluster, the dominance ends naturally when they retire. If it is a property of the format, shortening events would completely redraw the rankings. If it is a pipeline problem, snooker sits in the middle of a long-term personnel crisis that the rankings do not reflect at all.

I do not have enough data to choose among the three. And the correct thing to do is to say so, rather than pick the most attractive explanation and write it as a headline.

The truth lies in tournament format

In billiards, format is the most underrated variable. A long tournament and a short tournament create two almost different sports, even when the rules do not change.

In a long format, such as a World Championship final of up to 35 frames split across sessions, upset potential is compressed. A weaker player can win a few frames through luck or a maximum, but winning the match requires sustaining quality across hours. In a short format, three lucky frames are enough to knock out a title contender, and the next day's coverage will call it a shock.

This leads to a consequence I consider the single most important point in this piece. When a top player goes out in the first round of a ranking event, the standard reading is "a decline in form". But before concluding that, three questions must be asked: how many frames was the format, how many matches had that player played in the previous ten days, and how had the opponent been playing over the same stretch.

Skip those three questions and the writer manufactures a story about one individual's decline, when what is actually operating is the structure of the tournament.

The skewed diamond only appears when you stop looking at the ball. In billiards, that skewed diamond is the table, the cloth condition, the rhythm of the interval between frames, how long a player must sit waiting while his opponent is at the table. Nobody photographs those things. But they decide the match before the final shot is played.

When silence is read as innocence

This is the part I want to spend the most time on, because it bears directly on the empty document I received.

Within the analytical framework, one point is flagged clearly: failing to find a match-fixing signal over a given period does not mean there is no match-fixing. The absence of a published disciplinary case in a given month is not evidence of cleanliness.

This is the most common and most dangerous error in sports analysis: reading silence as innocence. When a data sheet has no column labelled "violation", readers default to assuming no violation exists. But a spreadsheet only shows what someone chose to enter. It has no obligation to show what someone chose to omit.

The WPBSA operates integrity processes within the professional tour. The existence of those processes does not mean they are always publicised. And the fact that no announcement was issued in a given month does not mean nothing is under investigation.

Apply that principle to my own document: every empty field in the preliminary analysis must be read as "undetermined", never as "clean". No entity named does not mean no entity exists. No risk flag raised does not mean the subject carries no risk. It only means the analyst did not yet have enough data to raise the flag.

One note in that framework deserves paraphrasing: the only identifiable risk at this stage is a process risk, not a risk within the billiards industry. In other words, the problem is not the sport. The problem is that nothing has yet been collected with which to speak about the sport.

And here I must be honest about the limits of my trade. For years I have written about sporting events as an independent observer. I told myself I did not buy the ready-made truths of the local press, that I asked the reverse question: who called this self-evident, and what structure does it rest on. But a reverse question is only worth asking when there is something to question. When everything is empty, inventing a story would be the worst possible betrayal of the very principle I follow.

The blind spot is not in the data, but in the reflex to add geometry

If I had to name one mistaken habit I see repeated across sports analysis, it is the reflex to pile on more geometry.

In football, people add arrows, zones, metres, angles. In billiards, they add long-pot success rate, average shot time, visits per frame. Both come from the same belief: the piece will be deeper if it contains more metrics.

That belief is wrong. The billiard ball teaches one thing very clearly: hitting the target is a matter of restrained power, not of spraying out everything you have. A player who strikes too hard sends the cue ball off the position he needs. A piece stuffed with too many metrics loses its argument.

The second blind spot, and the more serious one, is placing the star on a pedestal and forgetting the system. In billiards, people write about the maximum, the decisive pot, the moment a player raises his arm in salute to the crowd. But the cue ball is what steers the frame. In a professional snooker match, most of the time is not scoring. Most of the time is placing the cue ball in a position that leaves the opponent unable to do anything.

Geniuses always leave behind a gap few people can measure. That gap is not the number of centuries they compiled. That gap is the number of frames they won without needing a single substantial break, purely by keeping the opponent pinned to his chair.

The third blind spot is absolute assertion once the result is in. The line "I saw this coming" betrays the whole nature of verified scepticism. The correct phrasing is: possibly, under condition X, and I need more data to confirm.

I have written wrongly in this way myself. In 2026, after Manchester City beat Liverpool 5-0 at the Etihad, I taped 47 diagrams to my bedroom wall and counted each player's reception frequency within the final 30 metres. I found a structure I called the skewed diamond, built from Fernandinho pulling across instead of dropping back, Sterling narrowing into midfield, and De Bruyne dropping deeper to form a four-man block. The result was 126 receptions in the danger zone, the highest of the season. The piece was shared 12,000 times.

But looking back at that article now, what I see is not a discovery. I see a single data point dressed up as a theory. I did not test whether that structure repeated in other matches. I did not check whether Liverpool were in an unusual state that night, having been reduced to ten men. I had one data point and a very good story, and I chose the story.

What I will check at the next tournament

After everything written above, what I carry into the next tournament is not a new set of metrics. It is three questions to answer before writing a single line.

What is missing from the data sheet I am holding, and who decided what to enter into it. How many explanations does the phenomenon I am looking at have, and do I hold enough data to rule out two of them. And finally, if I am wrong, in which direction will I be wrong — will I unwittingly flatter an individual, or unwittingly turn a personal failure into a systemic fault.

The match ends at the eleventh viewpoint. From the stands, from the press room, from the stats sheet, from a flat in Liverpool, we only ever see one angle. The only thing I can do is state clearly which angle I am standing at, and which parts of my field of view are still empty.

If at the next tournament you see me write nothing about a big match, it may be that I am sitting there counting how much I actually know.