Vietnamese Basketball Needs a Measuring Device, Not Another Star

Fifteen Rows of Excel

In March 2026, I opened a blank Excel file on an old laptop and started typing. The only goal that day was to count. I had just re-watched a Japanese high school basketball game and found myself stuck on a 1.88m guard who moved differently from kids his age: he did not jump before looking, he looked before jumping. His name was Rui Hachimura, and he was still wearing the jersey of Meisei High School in Sendai.

Three years earlier, at the 2026 FIBA U17 World Championship in Dubai, Hachimura averaged 22.6 points per game and led the entire tournament in scoring. That number sits in FIBA's official records, anyone can look it up. But what I needed was not a tournament average. What I needed was what sat between the numbers: how he scored, at which point in the game, against whom, after how many touches.

I built a manual spreadsheet covering 15 games. One row per game, roughly twenty columns per row. Shot attempts, inside-the-arc percentage, outside-the-arc percentage, turnovers, fouls drawn, deflections, the number of times he flipped his defensive assignment when dragged into a screen, the average seconds between receiving the ball and making a decision. It sounds crude. But as the sheet filled up, something appeared that watching the games alone could never reveal: Hachimura was not uniformly good. He was rhythmically good. His efficiency spiked in the first seven minutes of the second half, when opponents began to tire and began to substitute. Through the entire first half, his shooting percentage sat at a merely decent level. After the break, it jumped to a professional level.

No sports newsroom in Japan had that spreadsheet. Not because it was hard to build. It just took time. Nobody did it because nobody thought counting was part of the job. I am telling this story not to show off a file. I am telling it to say that what I had in 2026 was not talent. It was a measuring device.

When Hachimura went to Gonzaga and was then taken ninth overall by the Washington Wizards in the 2026 NBA Draft, I already had a detailed data trove that nobody in Japan possessed. I did not predict anything. I simply counted before anyone else.

From a Suspension to a System That Measures

To understand how Japan got there, you have to go back before Hachimura.

In November 2026, FIBA suspended the Japan Basketball Association. The reason was not competitive results. It was governance: two professional leagues operating side by side, poaching each other's players, nobody willing to sit under one roof, and no shared data system to compare anything.

A country with two leagues and no single ruler.

The suspension was lifted in 2026 after the parties agreed to merge. In September 2026, the B.League tipped off. And the point I want to stress is not the merger itself: it is that the B.League was designed from day one as a data-generating machine. Public play-by-play. Quarter-by-quarter statistics. True shooting efficiency metrics. Minutes distributed by player age group. A player in a lower division still had a thick enough file for a top-division team to read and act on.

For a writer like me, this is the biggest fault line between Japanese and Vietnamese basketball. Not the level of play. The ability to measure.

Take an example of what a basketball nation that knows how to measure can do. Nick Fazekas, a center born in the United States, naturalized as Japanese and became a pillar of the national team. The decision to naturalize a 2.11m center did not come from inspiration. It came from an analysis of the size gap in the paint, of how Asian teams defend the pick-and-roll, and of the fact that Japan lacked someone who could finish close to the rim at a stable rate. Yuta Watanabe took a different road: George Washington, then the Memphis Grizzlies, then the Toronto Raptors, then the Brooklyn Nets. A versatile defender, developed on data about switchability.

All of that sounded wonderful until July 2026.

Three Losses in Tokyo and One Ignored Metric

At the Tokyo 2026 Olympics, Japan fielded two active NBA players in its roster for the first time in history. I wrote a long piece predicting a quarterfinal berth. I staked my reputation on it with a lengthy preview.

They lost all three group games: 77-88 to Spain, 81-116 to Slovenia, 77-97 to Argentina. None of them were close.

When I reopened my data sheets after the tournament, Japan's composite defensive rating sat at 118.4. That number was within my reach before the tournament. I saw it and I ignored it, because I was seduced by the offensive aura of two NBA names. I published a 1,500-word public apology in which I admitted I had judged by reputation instead of by data.

The lesson is not that I was wrong. The lesson is that the data was right, and I was the one who read it wrong. Data does not lie, but the people who read it do. And the reader here was me, a man nine years into this trade.

At this point the story turns to Vietnam.

Nine Measuring Sticks and One Empty Cell

Over my years hosting a podcast and writing a column, I built a nine-dimension evaluation framework. Not to appear systematic. But because if you only look at a single game, you will always conclude with a feeling. This framework is like a tape measure: it will not tell you whether a room is beautiful, but it will tell you how many square meters that room holds, and then you cannot fool yourself.

The first dimension is tactics. There is no room here for phrases like "they lacked cohesion." You have to measure with points per possession, true shooting percentage, points allowed in the paint after a screen is broken, pace. When a domestic league team plays slowly, is that a choice or a consequence of having nobody to push the ball? Without data, both answers sound identical in tomorrow's article. A team can hold 60 percent possession with meaningless sideways passes, and a team can hold 42 percent while generating far more high-value chances. If you only read the possession column, you are reading the most deceptive metric of all.

The second dimension is player data. I hold a personal rule: never make a claim about a player without watching at least five games backed by verifiable numbers. In Vietnam, a professional basketball season runs in weeks, not months. A player's total games across a season is sometimes fewer than what an NBA team plays in two weeks. With a sample that small, every individual leaderboard is fragile. Nobody says this out loud, because saying it would leave nothing to write about.

The third dimension is team operations and payroll. This is an almost entirely empty dimension in how we talk about domestic basketball. What percentage of a club's budget goes to the senior roster, to youth development, to the coaching staff? Which players are in the final year of their contracts? Which club is stuck with a long-term deal that exceeds real value? In the NBA, ordinary fans can debate these numbers. In Vietnam, they barely exist in public space.

The fourth dimension is league landscape and team positioning. In a mature league, you can sort teams into four tiers: title contention, playoff, play-in, and rebuild. That sorting is not labeling for fun. It shapes how you read every decision a club makes. A rebuilding team winning three straight is a good signal, not proof it is ready to contend. Without that sorting, every result gets read at the same altitude, and that is how media manufactures fake hype.

The fifth dimension is rules and governance. Japan was once suspended for allowing two leagues to run in parallel without a shared ruler. That is a directly applicable lesson for any basketball nation stacking multiple competition systems on top of each other: professional, semi-pro, youth, university. When those systems do not share one data standard, you cannot compare a 19-year-old in a youth league with a 24-year-old in a pro league. And when you cannot compare, you cannot select.

The sixth dimension is coaching staff and locker room. This is the hardest dimension to measure and the one most often guessed at. Who is the real leader in the locker room? Does the head coach hold full authority over the rotation, or does the front office intervene? Can the stars accept fewer shot attempts for the common good? In Vietnam, I have never seen an analysis use minutes distribution by player to infer the power structure inside a team. Yet that is a fairly accurate way to read it.

The seventh dimension is risk. Competitive risk, financial risk, personnel risk, rules risk, public opinion risk. Without a risk table, every basketball debate becomes a debate about results that already happened. You will always be the person chasing the game that just ended, rather than the person speaking ahead of the next game's variables.

The eighth dimension is media narrative and expectations. This is the dimension I care about most when talking about Vietnam. There is a gap between market expectation and objective reality, and that gap is where stories are born. When a team is expected to win it all but the data shows its defense is merely average, that expectation is not a prediction, it is a debt that will have to be paid.

The ninth dimension is industry ripple effects. In Japan, a player reaching the NBA pulls along shoe sales, broadcast contracts, youth registration numbers, and the value of the entire development system. In Vietnam, when an overseas Vietnamese player returns to compete, that ripple is wasted, because we have no data system ready to convert attention into demand for learning.

Nine dimensions. In Japan, all nine have at least some publicly searchable metrics. In Vietnam, the biggest empty cell is not in any dimension. It is in the source-data column.

The Contrarian Angle: The Problem Is Not Height, It Is Resolution

I hear this at least a few times a year: Vietnamese basketball lacks tall people.

That statement is biologically true and analytically meaningless.

If height were the deciding factor, the Philippines and Japan would not have made their leaps. Japan had a similar problem two decades ago. But what they changed was not genetics. They changed their ability to observe. Hachimura stands 2.03m and is a rare physical specimen. But Yuta Watanabe, also 2.03m, was not regarded as a top prospect until he was 20. What discovered him was not a keen eye. It was a system that let a scout in America see the defensive numbers of a player at a Japanese university.

I found gold in Japanese youth basketball where everyone else saw only snow. That does not mean I was smarter than others. It means I used a measuring device before others did.

With Vietnamese basketball, I believe we are looking at the wrong variable. The gap between a 17-year-old Vietnamese player and a Japanese player of the same age is not 15 centimeters. It is roughly three thousand lines of play-by-play that the Japanese player has and the Vietnamese player does not.

And here is where I argue against myself, because an analyst who does not self-argue is just a salesman of opinions. There is a counterargument that data in a small market is not worth investing in, because collection costs are high while consumption is low. That is a very strong economic argument. I used it to postpone building my own dataset for two years.

But there is a counter-data point I have read: small markets that invest in data before large markets do tend to create competitive advantage first. Japan in 2026 was not the dominant basketball market in Asia. It had just been suspended and had just merged its leagues. Precisely because it was weak, it was forced to build a common data standard as a condition for being allowed to operate again.

Of course, this argument has its own trap. Investing in data without people who know how to read and write it only produces spreadsheets sitting idle on a hard drive. We have seen many such cases. A federation buys statistical software, exports a two-hundred-page report, and nobody on the coaching staff reads past page ten. Data does not generate intelligence by itself. It only generates intelligence when someone sits in front of it and asks the right question.

So I am not proposing that Vietnamese basketball buy software. I am proposing that Vietnamese basketball create the profession of reading data.

Giants do not collapse because they are weak, but because they forget they were once small. That is true of NBA dynasties, and it will also be true of a developing basketball nation, in the reverse direction: a small basketball nation that wants to grow must build the habit of measurement before it has results to measure. Empires are not built in a night, but data can build them in a single season, provided that season is fully recorded.

What to Do in the Next Twelve Months

I have no authority to issue orders. I only have one spreadsheet and nine years of reading data. But if I were allowed three proposals that can be done within a year without a huge budget, here is what I would say.

First: publish play-by-play for every domestic professional game, including group-stage matches. No expensive software required. It requires one person typing at each game, and one unified file format anyone can read. Once play-by-play exists, you can recompute everything else: points per possession, true shooting percentage, minutes by lineup pairing. Without play-by-play, every tactical analysis is just a guess dressed up in elegant language.

Second: build a national youth database. The minimum goal is tracking players aged 15 to 19, at least ten games per year each. This is the work I did by hand for one Japanese player and reaped an information advantage from for years. Fifteen games for one player is enough to see rhythm. With one hundred players, you see a generation.

Third: train writers. This is the part I think is hardest and most neglected. Data does not write itself into an article. You need people who know that a row of numbers can tell a tactical story, who can tell the difference between a metric reflecting quality and a metric reflecting volume, who know that a shocking conclusion without an evidence threshold is just a way to deceive readers. When the whole world stops, I choose to start from zero. But I must be clear: zero here means a blank spreadsheet, not a grandiose statement.

There is one thing I want to say to those nurturing the idea of doing this work in Vietnam. Japan taught me this: the treasure is always there, you just need enough patience to dig. And you do not dig by watching more games. You dig by sitting down after the game ends, opening a page, and counting the things nobody bothers to count.

I still keep that Excel file from March 2026. It is not pretty. The typing is messy, columns are missing, rows are excessive. But it is the thing that taught me that basketball, in the end, is a sport played with the body and understood through what we choose to record.

A bedroom can be a startup, as long as you dare to open the mic. And a blank spreadsheet can be where a basketball nation begins, as long as someone dares to sit down and type the first row.

The Next Game's Variable

The question I leave behind is not when Vietnamese basketball will have an NBA player. The question is: at what level of detail was the most recent domestic league game recorded, and who is holding that data right now?

If the answer is nobody, then we are not short of a star. We are short of a measuring device.