Vietnam's Billiards Data Gap: What the Scoreboard Does Not Tell

A late weekend night at a billiards club on Le Hong Phong Street in Hai Phong, and the electronic board on the wall shows three things: AVG 1.184, a highest run of 7, and a scoreline of 40-38. Nobody in the room can recall how the 23rd inning of the player on the left unfolded, even though that inning decided the match. The scorekeeper recorded the result. The spectators kept the feeling. I sat there with my notebook and a question I have not fully answered in four years of analysis: if everything we preserve is the final score, am I analysing billiards or analysing my own memory?

That note opens the notebook I carry to every hall. It is also why I tried something that sounded simple: reconstructing a complete billiards match from data. I failed, and the failure carried more information than I expected.

What football has, billiards lacks

In 2026, at seventeen, I applied expected goals to a V.League match between Hai Phong and Sanna Khanh Hoa. The home side generated a superior figure and I predicted a comfortable win. The match ended 0-1 after the opposing goalkeeper made seven saves. The lesson I keep: before using any metric, ask who measured it, how, under what conditions, and what it is hiding. Data never lies, but I have misheard it before.

With billiards, that question hits a wall. The Vietnam Billiards and Snooker Federation publishes draws and results for national championships. UMB publishes the three-cushion world ranking, where Tran Quyet Chien has held the number one position and became the first Vietnamese player to win a world title. Matchroom brought the Hanoi Open into the World Nineball Tour in October 2026, turning Hanoi into an official stop on the professional pool calendar. What gets published is names, brackets and scorelines. What never gets published is what happens inside each inning.

The playing base runs the other way. Vietnam has thousands of billiards clubs and a deep group of elite three-cushion players such as Tran Quyet Chien, Ma Minh Cam and Ngo Dinh Nai, plus regional-level pool names like Duong Quoc Hoang. The human infrastructure is thick. The data infrastructure is thin. That contradiction greets me in every piece of analysis.

A three-cushion match to 40 points, roughly 35 innings per player, leaves four values: total points, innings played, AVG, and highest run. Four values for more than 70 innings and hundreds of shots. That compression is the equivalent of describing a football match only through the scoreline and pass count. This time I have no data to mishear, and that is the problem.

AVG erases rhythm

AVG, points per inning, is the most quoted metric about any player. It is also the most misleading, because an average erases variance.

Two players can finish a match with an AVG of 1.000 across 40 innings and tell completely different stories. The first scores four points in each of the opening innings, reaches 20 after five, then goes silent for the remaining 30. The second scores one point every inning. Identical averages. In a match to 40, the first player may close it out in the tenth inning, or fall too far behind if the run arrives at the wrong moment. AVG cannot tell them apart. Rhythm can.

Result data and event data are different categories. Results answer who won. Events answer why. Vietnamese billiards has reasonably dense result data: brackets, scorelines, rankings, schedules. Event data is close to zero. In football, that gap is filled by data companies that collect events and sell them to broadcasters and bookmakers. Billiards has no such market yet, partly because audiences are trained to remember rather than to look things up.

In my handwritten notebook, covering 20 consecutive matches at a national event with every inning logged in real time, the standard deviation of per-inning scoring was higher for the winning player in 14 of 20 matches. My initial reading: winners are not the more consistent scorers, they are the more concentrated scorers at high-value innings. I state the sample size because 20 matches cannot support a conclusion, only a question for next season. One goalkeeper fumbling is a mistake. Three goalkeepers fumbling is a signal, and that principle holds even when the signal sits in an empty data column.

Table conditions: the unrecorded variable

In billiards, the table is part of the match in a way grass is not. Humidity, temperature, cloth type, ball age and chalking all bend the trajectory of the balls. A player who practises in Hai Phong during the damp March weather and competes in an air-conditioned arena faces two physically different tables under the same tournament name.

Based on my experience tracking matches, this is the most ignored variable in any discussion of form. Nobody logs table conditions in the record sheet. No database stores the humidity at the moment a player missed the decisive shot.

A useful comparison comes from 2026-2026, when major sports events were played without crowds and home advantage in betting models fell noticeably. For billiards the hypothesis is testable: if crowd presence affects playing rhythm, then the home win rate of Vietnamese players at World Cup legs staged in Vietnam should differ between the crowd era and the empty-arena era. I do not have enough data to assert it. I have enough to say nobody has run that comparison. When the home table stops being a fortress, I learn to listen to an empty stand.

The opponent's inning: the hardest part

Billiards is the only sport I know where the right to attack depends on someone else's error. In football a team can win the ball back. In billiards a player only shoots when the opponent stops. That creates a variable no average captures: the quality of the inning immediately after the opponent has scored repeatedly.

A player who runs nine points in one inning does more than add nine. He pushes the opponent into a state where they must shoot after six or seven minutes off the table, with a cold arm, under pressure to score immediately to stay in touch. I call it the next-inning effect. It appears in no scoreboard in Vietnam, because scoreboards record points, not states.

Once again the football comparison helps. In 2026 I wrote about how Mexico's pressing eliminated Germany, built on a metric measuring the maximum passes an opponent was allowed before losing the ball. The piece was mocked, then quoted back to me by email two weeks later. The principle: sometimes a single correct metric with a clear definition is enough to overturn a false belief. Vietnamese billiards lacks both the metric and the definition.

The counter-argument

Here I have to argue against myself, because that step is mandatory in my method.

First, the absence of public data is not purely a loss. Modern football shows analysts creeping into the dressing room, and many of their conclusions detach from the actual rhythm of play. Billiards, not yet quantified, still keeps a quiet space for the player's instinct. If tomorrow we have full per-inning data, the first question is not where to publish it, but whether it will make players shoot by spreadsheet or by feel.

Second, correlation is not causation. If the home win rate in Vietnam is higher at World Cup legs, the cause could be table conditions, crowd, travel schedules, or simply a larger Vietnamese entry in that period. Any conclusion skipping those four possibilities is a rushed conclusion.

Third, my biggest blind spot: data cannot measure feel. But if I use the phrase feel to explain every anomaly, I have left analysis and become a storyteller. I do not want to confuse the two professions.

What I will track

Next season I will log three signals, and I am publishing them in advance so I cannot reinterpret them after the fact.

One, the distribution of points per inning for each player in qualifying rounds, where rhythm shows most clearly while pressure is low.

Two, the scoring rate on a player's first inning of a session after conceding five points or more. This measures response capacity.

Three, the AVG gap between qualifying and knockout rounds for the same player. A small gap means a stable baseline. A large gap means the player's form depends on the opponent or on the match format.

The model knew in October. I only had the courage to believe it in May. This time I am not building a model. I am building a table and writing in it.

I do not write to convince anyone. I write so that data has a witness. If my notebook is still empty in the most important column after a season, at least I will know exactly what I am missing, and in Vietnamese billiards, knowing what you are missing is already progress.