The Empty Column in the Scout's Notebook: When Volleyball Analyses Itself on Blank Data

Bangkok, a VNL week at the Hua Mark arena. I was sitting behind a Japanese scout. For the first two sets he wrote almost nothing except a few small numbers in the right margin of the page. At the technical timeout he turned to another page, drew four arrows and closed the notebook. I asked him what he was recording. He said: "The second ball."

The second ball is the first contact after the dig, before the setter touches it. The official statistical sheet for that match had no column for it. No column for who pushed the ball thirty centimetres off target and turned a designed attack into a high ball nobody could control. No column either for the libero who moved before the attacker began the approach.

After the match, the newsroom messaged me: they needed an analysis built on the data. The attachment was a spreadsheet. The score column was full. Every other column was blank.

Volleyball does not lack data. DataVolley, VolleyMetrics and video-analysis platforms have been present at most major tournaments for more than a decade. Every rally in a VNL match is tagged systematically: rally type, position, player, outcome, pass quality. A single match can produce hundreds of rows before the last spectator leaves the stands.

Most of that data stops where it is created. The Thai national league, the Vietnamese national league, the SEA V.League, the youth qualifiers — the very places that produce the players we watch at the VNL — usually publish only scores and a handful of basic indicators. The rest lives in the notebooks of a few people sitting in the stands.

I have covered volleyball in this region for five years, long enough to notice a paradox. Information about Southeast Asian volleyball is not scarce; it is distributed with extreme imbalance. A match between two strong teams in Bangkok can be captured from twelve camera angles. A youth match, where eighteen months later an outside hitter for the national team will emerge, sometimes has one phone camera and no technical record at all.

The Olympic cycle toward Los Angeles 2028 is pushing regional federations into overdrive: more tournaments, more qualifiers, more international friendlies. The number of matches is rising. The recording infrastructure is standing still. When a volleyball ecosystem increases its matches without increasing its capacity to record them, the first thing to disappear is not the match. An empty summer is not empty because there were no matches, but because nobody filmed the feeling.

There is one specific gap I meet again and again in the reports that reach coaching staffs. A data table can always answer who scored, but it almost never answers where the point came from.

Take the setter. The most widely used metric is successful sets, meaning the rallies that ended in a point afterwards. That metric depends far more on the attacker than on the passer. A setter can post 60 percent simply because her team has an opposite who can beat a three-man block, while a better setter may post 45 percent because both of her outside hitters are injured. Put those two numbers into a report with no context and they look identical.

Nootsara Tomkom is the example I keep retelling. In the years she was at her peak, Thailand played so fast that opponents could not set up a double block in time. But her greatest value lay in whom she chose, at what tempo, in a specific rotation. No column captures that.

The second gap is transition defence. Volleyball measures defence by successful digs. In a transition situation, where a team has just dug the spike and must counter immediately, the real value sits in the positioning of the blocker and the second defender — players who barely touch the ball. They create the space for someone else to dig. Nobody scores a gap.

Pleumjit Thinkaow played the block that way for more than fifteen years. Her finest rallies were the ones she never touched, standing exactly where she forced the attacker to change direction and fall into the libero's hands. The statistical sheet credited her with a missed block.

The third gap is first-contact quality under pressure. Perfect-pass rate is the standard metric everywhere. It counts only the balls delivered to the setter's ideal spot. It does not count the balls that arrive off target yet are still turned by the setter into a deliberate wing attack. The sheet records both the same way: an imperfect pass.

At a SEA V.League leg last season I held two reports on the same athlete, produced by two different groups three weeks apart. One described her as a fast-attacking outside hitter who prefers low balls at position four. The other described her as a high-ball attacker who depends on lofted sets. Both were built from a single match. Both were correct about that match. Both were useless for a selection decision.

A blank data file hurts nobody. An analysis written from a blank file hurts people, because it arrives with a confident tone, with charts, with conclusions, and nobody goes back to check the source.

There is an economic layer beneath this that I rarely see written down. Regional clubs handle the data gap by buying certainty. They import a foreign opposite whose record is already thick in Europe or South America, instead of spending two seasons measuring a twenty-year-old attacker of their own. The cost of renting an import is clearly priced by the market. The cost of measuring a young player is not, and there is no budget line for it.

The loop is fairly closed: youth teams produce talent, the talent shines in a short tournament, a bigger club signs them, and they sit on the bench there. Tran Thi Thanh Thuy is the case that ran the other way, and precisely because she ran the other way she has been misread many times. Nguyen Thi Bich Tuyen shows what an opposite hitter can do when the whole team rotates around her. The core players of a surprise team are dismantled very quickly by richer clubs, and their success turns out to be only the opening act of another talent raid. When the old team collapses the following season, nobody goes back to check whether the surge was real or merely the product of an ecosystem that was never properly recorded.

Football taught me a similar lesson years ago: possession percentage is the most deceptive metric in any data table, because plenty of teams grind out 60 percent with meaningless sideways passes in their own half. The number is right, the truth is wrong. Volleyball is repeating that structure with perfect-pass rate.

The counter-intuitive part sits here: the more indicators there are, the wider the gap becomes. Every time a new platform launches, the cost of producing a report falls. The cost of producing a correct report barely falls at all, because it is still paid in hours spent inside arenas at matches nobody broadcasts.

Volleyball analytics has optimised the wrong end. We have become better at counting rallies, and forgotten that the quality of a volleyball ecosystem lives in the rallies that are never counted. Old footage moves slower than a live feed, but it remembers longer.

There are evenings when I leave the arena with two things worth more than the scoreboard. The first is behaviour: after losing a point, who speaks first. The second is tempo: how long that team needs to recover the ball after a run of lost points. Neither goes into any statistical sheet, yet both forecast the future better than most metrics with charts.

If I had to leave one rule for the person who sits behind me in the stands, it would be this: record what you are afraid of forgetting, not what others want to read. Data will arrive on its own, once the match has been marked down a single time. What does not arrive on its own is the moment you saw and did not write down. A sports storyteller does not need to speak loudly, only at the right moment.

Next season, when a data table is pushed in front of you, the page most worth reading is usually the last one, the one with a blank space on it. That blank space, to me, is the fullest account of the match.