The Hollow Report: When Billiards Analysis Is Written From Data That Never Existed

Last month, at a ranking event in Preston, I sat beside a young analyst during the interval between two frames. He opened his laptop and pointed to a table of nine squares, each neatly formatted with a bold heading: "Safety rate," "Break quality," "Decisive-frame performance." I asked where the safety-rate figures for the Scottish player came from. He paused for a few seconds, then said: "I filled them in to complete the structure." Nine squares. Not one of them held real information. Yet that table had nearly been published as a deep tactical analysis, missing only a single check. That night I went home and kept thinking about it. It was not wrong in its presentation. It was simply empty of truth.

The story sounds like a minor detail of the trade, but it exposes a disease spreading through billiards analysis. When an event ends, the news cycle immediately demands content. A plain report no longer suffices; readers want numbers, charts, comparisons. To meet that demand, newsrooms build fixed analytical templates — nine categories, seven metrics, five concluding sections. The more detailed the template, the easier the process is to automate, and the easier it becomes to produce what I call a "hollow report": complete in form, empty in substance.

What is worth noting is that the template is not useless. It helps when real data exists. The problem lies in this: between the source and the report there is a gap, and that gap is usually filled with conjecture rather than data. Any billiards question begins with the simplest query: is this pocket billiards (snooker, 9-ball, Chinese 8-ball) or carom billiards (carom, Russian pyramid)? Each rule set has techniques, tactics, and ecosystems so different that they cannot be compared. If the discipline-identification step fails, the entire nine-tier analysis behind it is a building on sand.

In the trade, this check is called a "minimum-content gate." A piece of analysis may be published only if it contains at least one real information point. It sounds obvious, but automated processes routinely skip it, because such a gate forces acceptance of an uncomfortable outcome: sometimes the correct answer is "cannot be analyzed." And in a trade where readership is measured in hours, "cannot" is the most hated word.

When the input is empty — no title, no source, no data — the right move is to say plainly: there is not enough information to analyze. But the industry's reflex runs the other way. An empty report looks identical to a real one: same layout, same bold headings, same cells marked "updating." A skimming reader cannot tell them apart. The danger is not the missing data; it is the belief that a template with every cell filled means the content is complete.

I have seen this in my own work. Back when I was tracking matches for an English club, I built a pressing-statistics table with dozens of columns. Some weeks I filled in figures without checking their origin, and the result was a table that looked highly professional but told an entirely wrong story. Since then I have set one rule: without at least one verified data point, no writing is allowed. In billiards that rule is even stricter, because audiences find it harder to verify figures than in football.

Look at the structure of a genuine billiards analysis. It needs four things: a confirmed discipline, a named player, a clear event and format, and at least one traceable metric. Without a discipline, we do not know which ruler to use. Without a player, we have no subject to compare form against. Without an event, we do not know the weight of a win. Without a metric, we are left only with adjectives: "brilliant," "explosive," "declining." Those four things are the line between analysis and guesswork.

In reality, the nine-square table of the man in Preston is no exception. It is the product of a process designed to always have an output, regardless of input. When the input is empty, the process still runs, still produces nine squares, still labels each one with a heading that sounds perfectly reasonable. No one in that chain has to lie. They only need to believe their own part of the job is done.

There is a counter-view worth weighing. We tend to blame the writer's carelessness, but the real culprit may be the template itself. A nine-tier template creates pressure to fill nine tiers. When the data supports only two tiers, the writer is placed in a position either to admit the shortfall — which makes the piece look weak — or to fill the rest with conjecture. A template that seems neutral quietly rewards tidy fabrication and punishes honest admission.

The second paradox runs deeper: a hollow report is not a failure of analysis but evidence that analysis is working correctly. It shows that the process stopped exactly where it should — before turning emptiness into a claim. Error is where reality signs its name; so is an honest blank. The problem only arises when that blank is filled without anyone recording that it was ever blank.

I do not believe in perfect analyses. I believe in analyses willing to expose their own gaps.

Next time you read a billiards analysis packed with tables and metrics, try one question: where did the first figure in the piece come from? If the answer is "from a template that needed filling," you are reading a hollow report wearing an expert's mask. But if the answer is a name, an event, a specific frame — then someone probably sat down and actually counted. And in a trade that lives on audience trust, sitting down to count is the cheapest act of resistance, and also the rarest.