The Data Void: Young Table Tennis Players Erased from Every Spreadsheet

In the drawer of my desk in Guangzhou there is a file about two finger-joints thick. On the cover, scrawled in marker: “U15 — unclassified”. Inside, each page is a name. Some pages are packed with numbers: matches played, direct service-winner rate, average forehand-loop speed, defensive index in deciding games. And some pages hold a single line with a name, the rest left blank. Not because I was lazy. But because out there, there are children who play the sport and no one counts them.

The moment I understood the value of those blank pages came on a rainy afternoon, as I sat in the stands at a regional youth tournament with a tracking sheet in hand. A match ended. A boy lost quickly, packed up his paddle, and walked out with his head down, out of the light. The scoreboard had gone dark long before. No one recorded his score. In my notebook, he was only a blank. That night I lay awake thinking about the question that later became my professional principle: what happens to those blanks, in a sport now run on data?

Table tennis has entered the era of numbers. At the level of national teams and major academies, every training session is filmed from multiple angles, every stroke is tagged, every athlete is measured down to the percentage point. Real-time analysis lets a coach know exactly whether an opponent serves topspin or backspin at 9-9, which game his player loses focus in, how much spin a forehand has lost compared to three weeks ago. A sport once seen as improvisational and instinctive has become a math problem solved continuously.

But data does not fall evenly. It flows toward places that already have infrastructure, light, cameras, note-takers, and above all a paid scouting system. It forgets places that have only an old table, a single coach who doubles as referee, net-fixer, and floor-wiper. There, a player may have rare talent, but in the system’s eyes he is an empty data field. And an empty data field, to many scouting machines, means he does not exist.

I entered this profession as a fact-checker, where I was taught that a wrong number is worse than a missing one. Over twenty-seven years, I learned something else: in youth table tennis, the greatest enemy is not wrong data, but blank data treated as full data. When a player has no metrics, people do not say “we do not yet know”. They say “he has not proven anything”. Those two sentences are worlds apart, yet in scouting meetings they get merged into one.

I began noticing this mechanism in 2026, when I wrote my first analytical piece on a seventeen-year-old I will call H. H. played a far-from-the-table defensive style, the kind of player scouts often undervalue because their numbers look ugly: few direct winners, many long rallies, a modest short-rally win rate. But when I counted by hand, I found something the official sheet never recorded: at key points, H.’s rate of putting the ball back on the table was far above the age-group average, and that made opponents miss more often. The value lay in opponents losing points, not in H. winning them. The system counts points for the one who scores, not for the one who makes the other collapse.

That article met a mixed reaction. A group of readers thought I was inflating a mediocre player. I did not argue. I simply recorded what I had counted, with context. A month later, a coach called me and said that very article made him take notice of H. and promote him to train with the older group. I do not tell this to boast. I tell it to show one thing: a gap in the data is not proof of weakness, but proof of an observation system that is not yet dense enough. People look at the empty box and draw conclusions about the person. It is the most basic logical error, and the most common error in scouting.

To understand why the empty box forms, one must understand how youth table-tennis data is born. It does not appear on its own. It is the product of three conditions: a note-taker present, recording equipment, and an archive patient enough. Remove one, and the data vanishes. At many regional youth events, note-takers arrive only on competition day. Training sessions — where technical essence truly forms — have no one recording. Yet it is precisely in training that one sees what the match conceals: how a child reacts after losing a point, how he corrects his motion after being told, how he stands waiting while the coach speaks to someone else.

In my file, there is a column I call the “silent column”. These are metrics I count myself, present in no software. The first records how many times a player asks for extra practice after hours. The second records how many times he stays to collect the balls after the others have left. The third records how many times he picks up a paddle for someone else without being asked. This sounds unrelated to table tennis. But after many years I realized these silent metrics predict the endurance of a career better than many flashy indicators measured in a single elite tournament.

At sixteen, people see a star. At twenty-three, people finally see a person. Between those two markers lie seven years of uncounted sessions, unphotographed night buses, unremembered defeats. A young player’s data, if you count only what appears on the scoreboard, is an almost empty canvas. And we are making fateful decisions — scholarships, contracts, training slots, sometimes a family’s entire future — based on that empty canvas.

I once witnessed a case that forced me to rewrite my entire notion of reading data. It was a tournament I followed for three days. A girl I will call L. lost in the group stage with two wins and three losses. The final summary ranked her in the lower group. But I stayed through her last match, and I saw this: in all three games she lost, she led midway, then dropped points at the end. That is the signature of a player with a good technical base but insufficient stamina and match experience — not insufficient talent. The summary recorded only “loss”. No one recorded “led then lost”. These two lead to opposite conclusions about the same person.

This is the structural blind spot of every statistical system in sport. It records the final result, not the path. But young talent lives on the path, not the result. A fourteen-year-old is not nourished by a scoreboard; she is nourished by the belief that adults see her. When a system sees only results, it inadvertently teaches the child that process does not matter. And so we produce a generation that learns to hide weakness instead of repairing it.

I have spent years comparing the two table-tennis worlds I have lived in: the one where I was born and the one where I work. Not to judge which is better — that would be both meaningless and unfair — but to understand why two development systems produce two kinds of data. One counts on paper, in the coach’s memory, in sessions fixing a student’s hand in heat without a fan. The other counts by machine, in a national database, in video sessions where the student must watch himself as a research subject. Both have blind spots. The paper-counter misses long-term trends. The machine-counter misses the human being breathing behind the number.

I do not write about scores. I write about the day a child carried the whole world on his shoulders after a missed serve — the moment when the cameras are gone, the coach has left, the hall lights are off. There, the real person steps out. And there, no data system waits to record him.

So what should be done with the blanks? The first answer, and the most ethically correct one in the profession, is: do not fill them with guesswork. When data is blank, the most honest thing is to say it is blank. A scouting report that says “insufficient data to assess” is a valuable report. A report that automatically fills the blank with vague comments like “needs to improve competitive mentality” is a harmful report, because it creates the illusion that a real assessment has taken place.

I have seen the consequences of filling blanks with guesswork. A young player was branded “mentally weak” simply because he lost three deciding matches in a season, while no one noticed he was competing with an unhealed wrist injury. That brand followed him for two years, seeped into his file, into how the coach treated him, into his own belief about himself. When he changed academies and was re-assessed from scratch, people discovered the problem had never been mental. It lay in an unrecorded medical datum, an unannounced diagnosis. The health system’s silence had been interpreted as the child’s weakness.

This is why I always remind my students, and my colleagues, of a principle I learned from an old scout in Russia: do not look at the shot, look at the foot after the shot. He told me that on an afternoon in a city where I had gotten lost, as he walked me to the stadium. He spoke of a nine-year-old he had discovered playing on snow, and of how he recognized talent not through the shot, but through the running gait, the way the boy read space, the way he stood up after every fall. Ever since, when I write about table tennis, I always look for the “foot after the shot” — the part recorded in no spreadsheet.

When the whole world turns away, the academies still keep a light burning in the dark. But I do not romanticize it. That light has a price too. Scouting networks in places without enough infrastructure both find geniuses and create lottery tickets made of flesh and blood, and sometimes families broken by a dream priced at a contract no one reads to the end. Beneath the fog of the contract lies a sediment no one has dug into: parents’ silent labor, coaches’ concessions, hidden power arrangements no news item mentions.

Here I want to pause on a view that may irritate many. We tend to believe that more data means better decisions. That belief is true in physics, false in youth sport. In youth table tennis, more data often means more metrics to justify a decision already made. Big academies collect thousands of data points each week, yet when deciding whether to keep or cut a child, they still often rely on the gut of a few people in a room. Data becomes decoration for intuition. And intuition, however precious, is heavily shaped by bias, by memory of the most recent win, by an impression of a well-connected family.

I remember a coach telling me, half-joking, half-serious, that in one academy people knew which kid would be cut by the third month, and all the data collected afterward merely proved that decision right. If that sentence is only half true, it is enough for us to reopen the question about the whole system. Because if the decision is made before the data forms, then the data does not serve decision-making — it serves legitimizing the decision.

The second trap is subtler: we treat the lack of data as a kind of risk, instead of as a kind of information. When a player has no data, we conclude high risk, and we cut. But the lack of data only tells us that the observation system has not yet reached that person. It tells us nothing about that person’s ability. Merging the two is a categorization error, a prejudice disguised as caution. And in an environment as brutally competitive as youth development, that caution tends to fall on children from far away, from poor families, from regions with no representative.

I do not deny the value of data. On the contrary, precisely because I believe in its value, I want it used more honestly. Good data is not abundant data. Good data is data that knows how to state its own limits. A mature scouting system must have a box reserved for the sentence “we do not yet know”, and must have a process to fill that box with direct observation, not with deduction from an office.

I have followed youth teams long enough to know that glory comes later, tears come first. What we remember about a great player are the moments of brilliance, but their life is built from unobserved days. And if we record only the moments of brilliance, we are writing a distorted history of how a person becomes himself.

There is a question I always ask myself before writing any piece about a young talent: “Who does this article serve?”. If the answer is “to serve readers’ curiosity about a new phenomenon”, I know I am on the wrong path. If the answer is “to help readers understand what is really happening in a person’s growth”, I know I am on the right one. The difference between those two answers is the difference between an article about a star and an article about a person. And sometimes it is the difference between a child being seen and a child being forgotten.

Every season is fertile, but only the patient harvest the late seeds. Players who appear late on the scoreboard are often those raised in data lowlands. They need more time to prove themselves, and need an observer patient enough not to conclude too early. Throughout my career, I have learned that patience is not a soft virtue — it is an analytical tool. The patient see the trend; the hasty see only noise.

The life of a young talent is a string of forgotten days, marked by a few remembered minutes. If our data records only those few minutes, then our data is essentially a systematic lie. It is not wrong in its numbers. It is wrong in its meaning. And in the work of evaluating people, a number that is right but means the wrong thing can do more harm than a number that is wrong but understood correctly.

I have no complete solution to this problem. After twenty-seven years, I am still learning to read the blanks. But I know one thing for certain: anyone working with young talent — coach, scout, or journalist — must learn to distinguish between “not yet known” and “nothing there”. The two states look alike on paper, but they lead to two entirely different futures for a child. The one who reads the blank correctly will seek to fill it with presence. The one who reads it wrongly will fill it with judgment.

Tonight, the file still lies in the drawer, with blank pages yet to be filled. I do not intend to fill them with guesswork. I intend to return to the hall, sit in a corner of the stands, and count again from the beginning — the times a child asks for extra practice, the times he stays to collect the balls after the others have left. That is the only way I know to dig down to the sediment beneath every spreadsheet. And perhaps it is also the only way for a child not to be turned into a blank box in his own file.