Billiards and the Data Gap: What Is Missing Beyond the Arena Lights

Late at night in Beijing, after a billiards event had closed, the only thing I kept on my screen was not the moment of celebration but a page of notes. On it were lines like “cue-ball position after the third shot,” “angle of approach to the long cushion,” “seconds of deliberation before the finishing shot.” I wrote them down not out of love for numbers, but because the job had taught me that memory of a billiards match is easily distorted by lights and applause. When the stands are empty, data becomes the only applause I trust. Many people think billiards is a sport of beautiful shots. Those inside the game know it is a sport of position. A shot is only truly beautiful when the cue ball's path is calculated two or three beats ahead, and what decides victory usually lies in how a player places themselves into the layout, not in the finishing shot. That is why I always finish sketching the spatial picture before I call a player into that picture. Billiards is not a single sport. It is a cluster of parallel systems. Snooker has a large table, small pockets, a ranking system tied to events, and a slow rhythm. Pool 9-ball and 8-ball have different rules and tempo. And Chinese 8-ball is a commercial variant that has grown strongly in the domestic market, where I live and work. Each system has its own scoring, ranking, and competition standards, to the point that a player who excels in one may not excel in another. In China, billiards has become a real industry. Halls have sprung up across cities, tournaments have sponsors, and fans follow through online platforms. That boom brings money, lights, and pressure. But along with it comes a gap few mention: data infrastructure. The bigger the event, the more data matters, because money and honor come with it. A qualifying spot, a ranking, a sponsorship deal can all depend on a single figure. Yet at many billiards events, statistics are still recorded by hand, on paper, then typed into a machine. Every handover is a chance for error. One mistyped digit can follow a player for years. While football has had decades of standardized statistics — passes, heat maps, distance covered — billiards is still struggling to agree on how to record a single shot. There is no common standard. There is no cross-system database. Each event, each broadcaster, each platform records things its own way. Based on my experience following matches, this gap shows up in three places. First, data exists in fragments, unable to connect. Second, data is not cross-checked, so a wrong figure can live a long time simply by being repeated. Third, data lacks context, leading people to compare things that cannot be compared. Snooker's ranking system, for instance, is based on prize money accumulated across events over a cycle. That means a player who performs well at one major event can rise quickly, while a consistent player who rarely wins titles can fall behind. The calculation itself is a choice of viewpoint, not a truth. Someone chose prize money as the measure, and that choice shapes how we see the summit. I once spent a whole month rewatching the footage of a match, hand-copying every touch of the ball just to confirm one small detail. That sounds extreme, but it formed a working principle: every judgment must be tightened by cross-checking. In billiards, cross-checking means comparing the match record with the video, the video with the referee's notes, and all of it with my own eyes. To verify, I usually do three things. One, I rewatch the video in slow motion, pausing at the exact moment the cue ball leaves the tip. Two, I compare it with the official record to see whether the notation matches. Three, I ask myself whether I am seeing what I want to see. The third is the hardest, because it forces me to doubt myself. The problem is scale. A season contains thousands of shots. No one has time to rewatch every one. So the industry needs an automated collection system — but that system is not yet good enough for billiards. Ball-tracking cameras can record position, speed, and trajectory, but they cannot record intent. And in billiards, intent is what separates a deliberate safety shot from a mistake. This is the point many billiards analysts overlook. They measure results but not decisions. A player who plays a failed shot may still have made the right choice, and vice versa. If we look only at outcomes, we will misjudge ability. A missed shot can be the consequence of a layout pushed into a dead position three beats earlier, not of the hands. I have often added a line like “this data needs further verification at another event.” But I must admit I have abused it myself. A conditional conclusion is only valuable when the condition is stated clearly and can be measured. If the condition is vague, that sentence becomes a polite hiding place. So what should a proper condition look like? It must be specific. For example: “This rate applies only to the Chinese 8-ball table, standard pocket size, in matches of seven frames or more.” That is a condition that can be tested. Whereas “more data is needed,” without saying what data, measured where, by what criteria, is just a way of avoiding analytical responsibility. The biggest blind spot is this: we believe more data leads to truer conclusions. Billiards shows the opposite can happen. When a metric becomes popular, it begins to be optimized in a distorted way. A player may change their style to make the metric look good rather than to win the match. A coach may choose the safe shot to protect a rate rather than risk one to create a winning position. Data, once it becomes a target, is distorted by the very people who produce it. The second blind spot is cross-system comparison. People often place the record of a snooker player next to that of a Chinese 8-ball player and conclude who is better. But the two systems differ in difficulty, tempo, and pressure. Such a comparison is like placing a sprinter beside a distance runner and asking who is faster. The third blind spot, and perhaps the most important, is turning a player into a string of numbers. I nearly made this mistake. There were nights when I looked at a statistics table and saw a player as nothing more than a set of percentages. But billiards is a sport of nerves. The same shot, in the first frame and in the deciding frame, is two different shots. No table of figures measures the distance between those two states. So I force myself to keep at least one human moment in every article — an expression, a silence, a look before bending to the table. Numbers are used only to illuminate a human state, not to replace it. If a success rate does not come with a story, it is just a meaningless line of text. Here I think of a comparison with esports. The career of an esports player is shorter than that of a footballer, yet the youth development system and post-retirement support are almost nonexistent. Billiards sits in a similar situation: a player can compete at the top for many years, but there is no data system thick enough to record that journey decently. Esports taught me that reflexes are also a form of tactics, and tactics need to be recorded, not merely praised. Notably, billiards fans, in Vietnam as in China, are increasingly used to looking things up. They want to know success rates, to rewatch a shot, to compare. That demand is a positive force, but it also sets a requirement: data must be good enough not to lead them astray. The question I leave behind is not who is leading, but how the billiards world will build its data infrastructure in the coming years. If it succeeds, fans will have a standard they can trust. If not, each event will continue to live in a vague zone of memory, where emotion overwhelms evidence, and where people remember a beautiful shot but forget why it won. I will keep taking notes. And next time, when a player steps into the deciding shot, I will look at the cue-ball position before I look at his name. For every layout is a confession, and my job is to hear it speak.