An Empty Data Column on the Technical Desk: The Quiet Lesson of a Volleyball Writer

The screen was still on. The connection light was still green. But the technical column was blank, the score column was blank, and the final note box sat empty, never filled with a single player's name. I sat in the small technical room behind the stand, hearing the ball bounce on the wooden floor through the door gap, and I understood I was facing a kind of failure that sports writing rarely dares to name correctly: the failure of having stayed silent at exactly the right moment. An empty arena does not erase the match; it only turns applause into a nostalgia shaped like a player quietly taking off his shoes. But an empty data table leaves no nostalgia. It leaves a void, and that void is the most dangerous thing in any technical room, because it invites the writer to fill it with his own imagination. In volleyball, data is not decorative appendix. Every rally is recorded by specialised software such as Data Volley, the standard the International Volleyball Federation FIVB uses to unify counting across the whole system. A Volleyball Nations League match can generate thousands of data rows: serve position, set direction, attacker, contact outcome, quality of the first pass. Everything has a code, a column, and a person responsible for recording it. In Vietnam, the national championship and the youth system have also gradually standardised recording. The gap lies elsewhere: between standardisation and exploitation. Many post-match reports stop at set scores, the top scorer's points, and one remark about fighting spirit. The data column is right there, but nobody reads it. When nobody reads it, the writer easily convinces himself that he can infer the rest on his own. A contract is signed in ink, but it is understood through countless sleepless nights of the people behind the number. That is where most distortions begin. The easiest mistake, and the most common one, is confusing spike success rate with spike efficiency. Success rate is spike points divided by total attempts. Efficiency is points minus errors minus times blocked, divided by total attempts. An illustrative example: an attacker scores 18 points on 40 attempts, a success rate of 45 percent, which sounds impressive. But if 7 of those were errant spikes and 4 were blocked, efficiency falls to 17.5 percent. Same player, same match, two numbers telling opposite stories. For attackers permanently in the media's crosshairs, such as Tran Thi Thanh Thuy of Vietnam's women's team or Nguyen Thi Bich Tuyen, the distance between these two numbers decides how an entire match is judged. On the men's side, Yuji Nishida and Ran Takahashi of Japan are just as often misread this way. Another rarely mentioned metric is the perfect pass rate, the share of first passes delivered to the ideal position, allowing the setter to run the full attacking menu. When that rate drops below the safety threshold, the attacking system collapses in a chain: the middle blocker almost vanishes from the options, the opposite is forced to hit into a double block, and the outside hitter must carry impossible balls. Spectators see the failed spike. Readers of the data table see the first pass that failed three seconds earlier. Behind the block lies the story of the serve. The ace-to-error ratio separates a server who is a weapon from one who is a lottery ticket. A player with 5 aces but 9 service errors brings no advantage; he hands free points to the opponent along with the right to serve. The scoreboard does not punish him. The data table does. Then comes the defence and reception system. The reception line consists of first-pass specialists and the libero, who wears a contrasting jersey and is restricted from serving, attacking and blocking. The libero's dig count tells the story of substitution quality and of how thick the defensive line really is. When a team forces its libero to cover too much ground, that is usually an early sign of a cracking reception system, not of a libero playing well. And then the setter. A good setter is defined not by beautiful sets but by unpredictability. When distribution becomes easy to read, the opponent's block only needs to shift in the right direction. Data on the setter's distribution rate by zone is the kind of data that analytics departments at top clubs, such as those in Japan's SV.League, track round by round, and it is also the kind of data mainstream reporting almost never touches. In modern volleyball, one concept viewers rarely notice is the stuck rotation. That is the situation where a team repeatedly fails to win back the serve while locked in a specific lineup, and the opponent keeps adding points until the coach is forced to call a timeout. The data table records precisely which lineup caused that run of lost points. The post-match report usually labels it with a very vague word: loss of concentration. Based on my experience following matches, most arguments in the stands about whether a player performed well or poorly are in fact arguments between two different ways of counting. One person counts points. Another counts efficiency. Both hold data. But only one of the two tables survives the next question. And that is the hardest part of the job. The blind spot of collective memory in volleyball is that it always remembers the final touch. People remember a spike, but what I remember most is what happens after the lights go out, when the technical room holds only one person still fixing every mis-recorded contact code. The spike is what makes it onto camera. The failed first pass is what nobody rewinds to watch a second time. Sports writing operates under the pressure to reach a conclusion within hours. That pressure breeds a harmful habit: substituting impression for evidence, emotion for data, and turning a match into a scoreline report dressed up with adjectives. When the data table is empty, a serious writer has two options. Write what he imagines and pretend it has a basis. Or declare that there is not enough evidence to conclude, and accept that the piece will be shorter, slower, less glamorous. I chose the second option, and I know it is costly. It costs readership, publishing slots, invitations to go on air. But the line between an analyst and a fabricator lies precisely in that moment. An empty technical room says nothing about the quality of a match. An empty data table is not yet an answer. It is a question that has not been asked in the right place. We chase transfer news to believe that every wound can be healed by a signature. But in the technical room, a signature cannot heal a data row left blank. It only hides it, until another team reads it and exploits it. That night I wrote nothing at all. I saved the empty notes file, named it by date, and left it exactly as it was. Months later, once there was enough data, I finally wrote. The piece arrived late, but I did not have to apologise to readers for a wrong number. Vietnamese volleyball is now mature enough to demand more than scoreline reports. That only happens when writers agree to learn how to read a data column before learning how to write a closing sentence. And sometimes, the first step in telling a story correctly is knowing you have nothing to tell yet.