The Empty Cells in Vietnamese Women's Volleyball Statistics

In 2026, at the Nha Trang arena, I sat in the seventh row with an A4 sheet ruled into a grid. The VTV Cup final ended and more than three thousand spectators had still not left. My sheet had six columns: points, blocks, serves, reception, digs, attack efficiency. I filled three. The other three stayed empty, because nobody in the arena published them, and I was not skilled enough to key in every rally across a single evening.

Four days later, I counted three articles out of twenty about a tournament that gathered eight national teams on the major sports platforms. My first piece came out of that. But what I remember most is not the 3/20 ratio. It is the six columns, and the three empty cells.

This season I still carry that sheet. It has become a professional habit.

World volleyball does not lack data. At the Volleyball Nations League every rally is captured in Data Volley, and FIVB publishes detailed statistics down to each athlete: attack success rate, attack efficiency, blocks per set, ace-to-error ratio, perfect pass rate, digs per set. In Italy's women's Serie A1 or Japan's V.League, those figures are sold to broadcasters and to the clubs themselves.

The information baseline in Vietnam is very different. The national championship publishes statistics, but usually stops at total points, blocks and direct service aces. International events hosted in Vietnam — the VTV Cup, the SEA Games, the AVC Challenge Cup — carry fuller data, but it exists only for the duration of the event, stays with the organisers, and is rarely archived publicly in Vietnamese.

That gap was not created deliberately by anyone. It is the result of a chain of small choices: too few statisticians, too little budget for software, and a newsroom habit that has lasted too long — three numbers are enough to file a story.

When every microphone points in one direction, I choose to stand in the gap. But standing there long enough, I noticed something more uncomfortable: the gap does not stop at missing data. It is producing the wrong kind of player.

Points are not efficiency

This is where I want to linger, because it is the most common error in how Vietnamese volleyball journalism reports the game.

A familiar headline: the outside hitter scored 30 points and dragged her team back from behind. Readers understand she played a great match. Possibly true. Possibly not.

Points in volleyball are the sum of three things: direct attack points, block points and direct service aces. Attack efficiency is an entirely different calculation: take attack points, subtract attack errors into the net or out of bounds, subtract times blocked, then divide by total attack attempts.

One hitter scores 30 points on 70 attempts, with 8 errors and 5 times blocked, for an efficiency of roughly 24%. Another scores 24 points on 45 attempts, with 3 errors and 2 times blocked, for roughly 42%. The second was the more valuable attacker in that match. But the headline belongs to the first, because 30 is bigger than 24.

FIVB publishes both figures in its VIS statistical report for every VNL match. Vietnamese media use almost exclusively the first, and often treat it as the only measure.

The consequence sits at the youth-coaching level. When a young coach knows her players will be judged by total points, she selects the player who attacks most. Not the player who attacks most efficiently. The two qualities do not overlap, and in many cases they oppose each other: the high-volume attacker is usually the one receiving the hardest balls, facing double blocks, and accumulating errors. If the stat sheet records only points, we are teaching a generation to accumulate points instead of learning to choose shots.

Based on my experience following matches at youth level, the script repeats almost to a template: a player is celebrated after the group stage for scoring heavily, then fades in the semi-final against a taller block, because her real efficiency was low from the start. Nobody caught it early, because nobody recorded it.

There is a second consequence rarely discussed, on the commentator's side. Without numbers, people speak in adjectives: a very powerful hit, a very fine rally, excellent spirit. Adjectives are not wrong, but they cannot compare across two matches, two players, two seasons. Listeners carry away emotion and nothing else, and emotion does not keep an audience through a two-month league.

The reception system: the invisible variable

There is a paradox in volleyball that a Vietnamese-style stat sheet never shows.

When a team receives well — a perfect first contact, the ball delivered to the ideal spot — the setter holds the entire attack menu: quick middle, back slide, wing, back row. The opposing block must stand and wait. When reception collapses, the ball comes far off the net or off target, and the setter has one safe option left: a high ball to the opposite, attacking into a block already formed with two blockers.

What happens next is the part I want you to notice. In a match where the reception system collapses, the number of balls the opposite must attack rises sharply. She receives more balls, scores more points, and the stat sheet records her as the outstanding player of the match.

Her efficiency falls.

Put another way, a points-only stat sheet highlights exactly the player in exactly the match where her team's system was at its worst. That is a form of information noise more dangerous than silence, because it produces a wrong conclusion that looks well evidenced.

The person who loses out in this counting is the libero.

The libero is the only position on court who may not serve, may not block and may not attack. She only receives and digs. In a total-points table she is always last. And here is a detail spectators routinely read backwards: a high dig count is not the sign of a great libero. A great libero stands in the right place before the ball arrives, so she rarely has to dive. A libero who dives constantly is usually covering for a leaky block and poor ball-reading across the defensive system.

Nguyen Thi Kim Lien is the clearest example of the kind of player domestic statistics have no tool to describe. The correct measures for a libero are perfect pass rate and error-free first-contact rate — two figures that barely exist in Vietnamese women's volleyball reporting.

The setter: the uncounted one

Volleyball has a statistical injustice built in: the setter determines the rhythm of the whole team, yet almost no metric records her value.

Football has assists. Basketball has assists. Volleyball has assists on paper too, but they are close to meaningless: every successful attack credits the setter with one assist, so every setter ends with an assist count roughly equal to her team's attack points. That number cannot distinguish a good distributor from a poor one.

What can distinguish them is distribution share and in-system rate. A setter who feeds 60% of balls to one hitter lets the opposing block learn a single direction. A setter who spreads across four positions, including a quick middle that forces the block to wait, raises the whole team's attack efficiency without anyone scoring an extra point. Doan Thi Lam Oanh belongs to the group of setters whose real value lives exactly there — and exactly where domestic statistics are blindest.

In leagues with Data Volley, this is measurable: attack share by position, in-system balls as a share of total, and each hitter's efficiency broken down by the type of ball she was set. Those three figures are enough to evaluate a setter. None of them appears in national-league reporting.

This explains a pattern I have met many times reading a box score: a team wins 3-0 with very tight set scores, and people conclude that team has a powerful attack. The real cause is usually that the team held a perfect-pass rate a few percentage points above its opponent, enough for the setter to open the middle. Without data, the default conclusion always falls to whoever scored.

Going abroad: a market without data

Every transfer is a parting signed in ink. But before the signature there is a phase rarely discussed: the persuasion phase.

When a Japanese or Thai club considers a Vietnamese player, it works from a report. Not a highlight reel. A report, with numbers, opponents and sample. Vietnamese players typically arrive at the negotiating table with a video clip and a sheet listing season total points.

That information asymmetry has a price in money. A club that cannot demonstrate its player's attack efficiency at 40% rather than 25% cannot demand the salary that 40% commands. And a player without a numerical record gets filed under unverified potential — a category that is always paid below true value.

Tran Thi Thanh Thuy and Nguyen Thi Bich Tuyen are two prominent enough cases to show the mechanism. When Thanh Thuy played in Japan's V.League, she entered a system where every one of her attacks was recorded, classified by ball type and by the block she faced. Bich Tuyen, at home, is the inverse: her point totals are cited constantly, while her attack efficiency by ball type barely exists in any published report.

I am not saying that data alone fixes everything. I am saying that negotiations currently take place with one side holding a report and the other holding a memory.

The trap of counting

I have to check myself here, because I know how easily I fall into this trap.

Counting is seductive. Count an absence and the urge is to conclude immediately that it is an injustice. But absence from data does not equal deprivation of rights. I have asked several female players whether they want detailed statistics published. Most answers were not about statistics. They were about rest, about the fixture calendar, about wages, about training facilities.

The data gap is a problem for journalism and for the recruitment market before it is a problem for the players. If I turn it into a victim narrative, I am writing them a grievance they never placed on the table.

The second trap is the reverse: assuming more data is automatically better. It is not. Points-only data is currently worse than no data, because it produces wrong conclusions with an appearance of precision. And a full Data Volley system across the entire national championship costs money that, weighed against youth-development budgets, I am not sure wins.

And one more thing must be said clearly, because it is the boundary of the craft: missing data is not evidence of a conspiracy. Nobody met in a room to hide the libero's numbers. It is the product of too few people, too little money and too little habit. Writing it as a scandal will make people defensive instead of making them fix it.

The small remaining job

The fix does not require a large system.

It requires one person, one match, one season. One statistician in the corner of the arena recording four figures: attack points, attack errors, times blocked, total attempts. From those four, compute attack efficiency for every player. Add one more column: perfect passes over total receptions. Five columns.

A national-league season gives each team roughly fourteen matches, averaging four sets each. Fifty-six sets of data. Not much. But enough for a club to know whether it is paying for 25% efficiency or 40%, enough for a journalist to write a correct headline, and enough for a young coach to see whether her player is accumulating points or choosing shots.

At the men's World Cup I once counted the women present — fewer than the number of goals. That tournament ran 92 years with 54 male referees and not a single female referee appointed. I learned one thing from that count: numbers do not speak for themselves. But an empty cell always does. It says that someone decided not to record.

I do not merely tell the match; I tell the people ranked below the scoreline. This season, the people ranked below the scoreline are the libero, the setter, and the player holding 40% efficiency while the headline names the one who scored 30 points.

If this season ends and nobody has opened a spreadsheet for a single team, the question I want to leave behind is not when Vietnamese women's volleyball will have data. It is: what are we afraid of seeing in it?