Snooker Is Counting the Wrong Things: The Data Gap on the Green Baize

In the early morning of April 29, 2026, I sat in front of a black-and-white television, watching a replay of the World Championship final between Dennis Taylor and Steve Davis. No one in my apartment block understood why a fifteen-year-old boy stayed up to watch two older men pot tiny balls on a green table. I did not understand it myself. I only knew that something in the way Taylor leaned back, set his cue, and sent the black ball into the pocket kept me pinned, unable to switch off the screen. Thirty years later, sitting in a studio as a commentator, I still could not answer that question with a number. And that is precisely the problem with this sport. In football, people have learned to count invisible things. They measure xG, PPDA, the metres a midfielder drops to sit between two centre-backs. In snooker, after four decades of broadcasting, we still have only a few rough metrics: pot success rate, centuries, 147s. No metric measures the safety that created the opening, the positional shot that paved a scoring run, or the split-second decision to withdraw the cue. I realised this while sitting in the studio when someone handed me a pre-match statistics sheet. It had everything about both players. But it did not have what I needed to explain why the match unfolded the way it did. The sheet said who potted more. It did not say who created the shape of the game. I do not watch billiards for entertainment. I watch to decode. And across seventeen years of commentary for VTC, from the Davis and Hendry era finals to the arrival of the Asian cueists, I always felt I was doing a harder job than it should be: explaining a sport that has not yet agreed to measure itself. The green baize is one of the last closed spaces left in sport. No running into space. No pressing. No one screening for anyone. Everything happens on a plane barely three and a half metres long, and the final result always depends on a chain of decisions of which the eye sees only the last part. That is why I fell into it. Not for the beautiful shots. But for the hidden structure behind them. The lopsided diamond only appears when you stop looking at the ball. In football, I once taped forty-seven diagrams to a wall and counted each player's reception frequency in the final thirty metres to find how a four-man block shifted. In snooker, I have no diagrams to tape up. No one hands me a map of the cue ball's position after every shot. No one records the distance between the object ball and the intended landing point of the cue ball for the next shot. Television zooms in on the player's face, not on the diagram. That is the first blind spot. We have super-slow-motion cameras, trajectory simulations, 3D graphics. But we do not have data. Try a comparison. In tennis, people measure serve speed, first-serve percentage, net points won, even the distance each player covers within a point. In basketball, they measure shooting efficiency by zone, even touches before a shot. In snooker, beyond pot success and centuries, almost no metric is regularly published for the general audience. That absence is not harmless. It shapes how we see the sport. When centuries and 147s are the only yardsticks, we inadvertently celebrate spectacle and ignore construction. A player who plays a safety that forces an error, then clears with a seventy-point run, will be remembered as the winner. But that safety is not counted. No metric records it. I once sat through a rewatch of a Hendry-era final and manually counted how many times the cue ball was placed in a position where the opponent could play nothing beyond a safety. The result surprised me: most winning frames did not begin with a beautiful shot. They began with a poor shot the opponent was forced to play. That led me to an uncomfortable thought. If we cannot measure structure, we also cannot detect abnormality. Abnormality in snooker is very hard to spot by eye, because a bad shot looks exactly like a genuinely bad shot. There is no metric to distinguish a technical error from a deliberate one. And here the story turns serious. In 2026, the WPBSA opened an investigation into match-fixing allegations. By June 2026, ten Chinese players had been sanctioned, two of them with lifetime bans for interference in the outcome of multiple matches. This was the largest scandal in the sport's history. I am not saying that better data alone would have prevented it. But I believe one thing: a sport that cannot measure itself will struggle to detect what is being distorted. In football, suspicious betting patterns are monitored with data. In snooker, before the scandal broke, the monitoring system was far thinner than the number of matches played each season. That is a lesson in the consequences of failing to count. But stopping at the scandal would be too easy. I want to go further, into the harder part: the metrics we already have are also counting the wrong things. Take centuries. A player who scores one hundred in a frame is praised as elite. But that hundred may have started from an easy layout left by the opponent, or from a position where the cue ball was almost impossible to miss. No metric distinguishes two winning frames of different difficulty. Just as in football, kilometres covered cannot distinguish effective running from useless running. This is exactly the trap football fell into and is now trying to crawl out of. Distance covered and sprint counts are packaged as effort metrics, but a player covering twelve kilometres may simply be scrambling after the ball. A pretty number does not equal value. Snooker is at that exact stage, only twenty years late. So what should be counted instead? I have asked myself that question for a long time, and I am still not sure. But rewatching old matches, I noticed that what decides the situation often lies in the moment before the shot: the player stands up, walks around the table, bends down, then stands up again. Each time he stands up is a time he rejects an option. Those rejections are recorded nowhere. If I had to propose one metric, I would call it the rejection count. Count how many options a player discarded before choosing the final one. Someone who discards five options to pick the right one is completely different from someone who sees no options to discard. Both end in a shot. Only one is a sign of thought. Similarly, I want a metric measuring the average distance between cue ball and object ball on decisive shots. I call it the dead zone. When that distance crosses a threshold, the success rate drops sharply, and the player is forced to choose between risk and safety. It is precisely at that boundary that the match is decided, and precisely there that we have no data. I know these proposals sound abstract. But I remember measuring a similar distance on grass: thirteen point seven metres, the average distance a midfielder dropped to sit between two opposing centre-backs. No one noticed that number before I named it. After naming it, people started to see it. Data does not create reality. It only makes reality visible. In snooker, much of reality is invisible simply because no one has bothered to give it a name and a number. But I must admit one thing, and this is the part I always try to keep honest with myself. There is a second explanation for the absence of data, and that explanation may be more correct than mine. Snooker cannot be measured because its nature does not allow measuring the way football does. Football is a game of continuous space, where the positions of twenty-two players on a pitch can be tracked by cameras and algorithms. Snooker is a game of discrete events, where everything depends on the decision of one person, and that decision leaves no physical trace beyond the trajectory of the ball. Perhaps the data I crave does not exist because it does not need to exist. Perhaps the silence of the statistics sheet is itself the message: watch, do not count. And I find that counter-argument persuasive. I have asked myself many times: does turning every safety into a number impoverish the beauty of this sport? Football, after being measured to the bone, lost part of its improvisation, part of what cannot be explained. Perhaps snooker should keep its zone of mystery. I am not sure. And I try not to pretend that I am. Geniuses always leave behind a gap few can measure. At fifty-three, I realise I have spent most of my life doing something that perhaps has no ending: trying to understand what lies outside the frame. From the billiards table in Hanoi at fifteen, to the VTC studio for seventeen years, to European pitches and a home in Liverpool, I have never seen enough. I am not a writer of victories. I am a writer of the gaps victories leave behind. But the biggest lesson I learned did not come from data. It came in March 2026, when English football froze because of the pandemic. I live in Liverpool, anxious to the point of retreating into old tapes, trying to find something to hold on to. I built a two-thousand-row spreadsheet and could not write a single word. That March deadlock freed me from dependence on the audience. I learned that analysis is not filling a table with data. Analysis is choosing the right bottleneck and being patient with it. That is why I stopped writing about entire systems. I write about one specific change, one specific distance, one specific decision. The smaller the scope, the higher the precision. With snooker, that means I will not try to decode a whole season. I will pick one player, one tournament, one match, and I will count by hand. I will record what the camera skips. I will name what has no name. Because the match is not decided on the final shot. It is decided several beats earlier, when the ball has not yet entered anyone's eye. In truth, most of what makes a good snooker match has never been broadcast, never been counted, never been named. It lies in the gap between two shots, in the silence between two rounds of applause. A sport that does not measure itself will keep letting those gaps widen. So the question I leave behind is not for the sport, but for myself: Am I trying to measure something that should stay mysterious, or am I ignoring something so obvious that no one sees it anymore? I cannot answer yet. But a football writer like me lives on questions without answers. And perhaps, after everything, that is still the most beautiful safety I can play: leaving the table at a difficult position for whoever comes next.