After the Match in Nagoya: The Rallies No One Scores

Twenty-three seconds. That is the length of the rally that kept me sitting alone in my Nagoya apartment near midnight, rewinding the footage for the seventeenth time, just to count how many hands had touched the ball before it hit the floor.

I counted nine touches. From the visiting team's serve to the spike that ended at position four, the ball passed through nine pairs of hands. Of those nine, the official statistics system recorded exactly three actions: one reception, one set, one kill. The remaining six touches vanished from every chart a viewer sees on screen — the steps taken to seal a gap, the imperfect dig that still kept the rally alive, the screen set for the attacker.

That is why I am writing this. Not to retell a match, but to talk about what the stat sheet does not tell.

What I learned after many seasons following the V.League: data does not lie, but the people who choose the data are very good at lying.

Japanese volleyball is entering its most interesting phase in more than two decades, and the reason is not some star. The reason is that the way people measure this sport is changing faster than the way they play it. In the cycle toward the Los Angeles 2028 Olympics, V.League clubs have invested in ball-tracking camera systems, software that logs every touch, and analytics staff sitting behind the technical area. Every rally is now sliced into dozens of metrics.

The more metrics there are, the more careful I find myself having to be.

A V.League season runs from October to April, with more than forty matches per team including the playoffs. I chose to follow a single team — the one in Nagoya, where I live — so as not to scatter myself. My rule is simple: every project must have a deliverable. This season's deliverable is a notebook recording the rallies I consider decisive, cross-checked against what the official system records.

After fourteen rounds, I found a pattern that haunted me.

In decisive rallies — those that close a set, or those played at twenty points or more — there is a considerable gap between the number of actions recorded and the number of actions that actually happened. That gap is not in the scorers. It is in the people who prepare others to score.

Take the reception. In the standard statistical system, reception is graded at three levels: perfect, acceptable, and error. But the definition of perfect depends on where and in what posture the ball reaches the setter. A dig that pops three meters high but lands right at the setter can be deemed perfect. A flat, fast dig that lands half a meter from the setter but forces the setter to step left — that dig might be graded average.

A dig that costs the setter one step can still produce a good attack. But the stat sheet does not see that step.

Let us call this the hidden cost of one step. This season, reviewing footage, I began counting that step separately. And I found that the best setters in the V.League are not necessarily the ones with the highest successful-set rate. They are the ones who cover for the passer's error, turning an average dig into an organized attack. That is a skill no column in a spreadsheet can measure.

Now to the block. A successful block is recorded when the ball bounces back into the opponent's court and dies. But the best block is not the one that stuffs the ball. It is the one that forces the attacker to change direction. An attack forced into exactly the spot where the libero is already waiting — the stat sheet credits the libero who digs it, and gives nothing to the two hands that built the wall directing the play.

Then there is the dig. This is the metric I believe is most misunderstood in modern volleyball. People count successful digs, but not the quality of the dig. A libero who dives and saves the ball but sends it flying back toward the stands — technically, that is a successful dig. But the rally will almost certainly die on the next contact.

I have spent many nights rewatching rallies like that. And what I realized is this: the difference between a good team and an excellent team is not how many balls they save, but what they save the ball for next.

This is where I want to tell an old story.

In 2026, I went to Russia to cover the football World Cup as the youngest freelancer for a sports outlet. During the semifinal between Croatia and England, I commentated live and mispronounced the name Luka Modric three times. The audience was furious. Instead of a token apology, I spent a month reviewing all the footage and wrote an analysis of why players' names are a cultural battlefield, pointing out fourteen common mispronunciations by Asian commentators. The piece was widely shared and a linguistics professor invited me to give a talk.

Moscow taught me this: getting lost is often the only way to find the right alley.

I tell that story not to talk about football. I tell it to explain how I learned to re-read a rally. My mistake in Moscow was not that I did not know Modric's name. It was that I believed I knew enough. In volleyball, the trap is exactly the same.

When you look at a volleyball match's stat sheet, you are looking at a set of things somebody decided to count. No sheet is neutral. Every number in it is the result of a choice: what to count, what to ignore, how to define success. The people who choose the data shape the story more than the players do.

That is why when teams talk about their data models, I always ask one question: who enters the data? Every match has someone sitting there, pressing a button to log each touch. That person gets tired, that person has biases, that person can miss a rally because they just glanced at the scoreboard. Nobody talks about that person. But that person is part of every number.

Now to a broader tactical angle.

In the V.League this season, I see a notable trend: teams are gradually abandoning passive defense and shifting to active defense — defending in order to counterattack immediately, not to survive. This demands that liberos and wing attackers read the opposing setter's intent before the ball goes up.

Measuring the success of this style is very hard, because most of the credit lies in preventing a rally from happening. You cannot count the rallies you prevented. You can only count the rallies that happened.

This is the central paradox of sports analytics: people usually measure only what happened, never what was prevented.

I thought about this while rewatching another rally from the season, in the second set of a mid-season match. Nagoya was up by two points. The opposing setter was preparing to feed the star attacker. But Nagoya's libero had moved a beat early, standing slightly off his expected position. He read the ball's direction. The attack went straight into where he was waiting. The ball stayed alive. On the next contact, Nagoya counterattacked and scored.

In the stat sheet, that rally reads: one successful dig for the libero, one kill for Nagoya. Nowhere does it record that the early movement was what created the entire rally.

I started following the team's libero match by match, and I noticed something interesting about his role in the system. He is not the best player technically. But he is the player who makes others better. When he is on the court, the team's attack success rate is noticeably higher than when he sits — even though he himself barely scores.

I do not have enough data to prove this with numbers. But I have enough sleepless nights to believe it.

Another metric I want to dissect is kill percentage. It is calculated as points scored divided by attack attempts. It sounds reasonable. But it hides a trap: it does not distinguish between an attack from a perfect situation and an attack from a dead ball.

An attacker with a thirty percent success rate might be a poor player in a good system, or a good player in a poor system. If you only look at the number, you will never know. But if you sit through ten of that player's matches, you will see clearly.

This is why I never pass judgment on a player I have not watched live or through full footage. A number can lie to you in a way no clip can. Because a number gives you the feeling that you understand, while footage shows you that you understand nothing at all.

The middle blocker is the most underrated position in volleyball, and I believe that is because of data. A good middle blocker is not the one who stuffs the most balls. He is the one who forces the opposing setter to change the attack plan. And in the statistical system, forcing the opponent to change plans is recorded as nothing at all.

In one mid-season match I followed, Nagoya's middle blocker had only two successful blocks all game. But rewatching the footage, I counted at least eleven rallies where the opposing setter clearly changed the attack direction because of his presence. Counting those eleven, he was the most influential player on the court.

The stat sheet says he played average. The footage says he played well. And I choose to trust the footage — while keeping the number as a reminder of the limits of how we measure.

Another thing I want to address is the flow of Japanese talent abroad. In recent years, the pillars of the Japanese men's national team have moved one by one to play in European leagues. This is good for the national team, but it creates a problem for the V.League: clubs lose the players capable of producing pretty data, and are forced to rebuild around younger players.

As a watcher, I see this as both a loss and an opportunity. A loss because the league's quality may drop. An opportunity because teams are forced to find value in things other than powerful spikes.

And this is where I return to my central question.

If we only measure what is easy to measure, we will build teams around players who are good at what is easy to measure. Which means we will miss players who are good at what is hard to measure — and in volleyball, what is hard to measure is often what decides.

This is my counterargument to a common belief in volleyball analytics: that a high degree of specialization produces better teams.

I do not believe that, or at least not absolutely.

A highly specialized libero can be the best digger in the league. But if that person cannot grasp the attacking logic of the opposing setter, the digging skill becomes meaningless. A blocking specialist can stuff many balls, but if he cannot read the attacker's run rhythm, he will always arrive half a beat late.

Specialization teaches you to do one thing well. It does not teach you to know when that thing becomes meaningless.

In modern volleyball, where teams grow more alike physically and technically, the edge no longer lies in playing better. It lies in understanding better. And to understand better, you need a diverse view — a view not locked onto a single position, a single metric, a single way of playing.

I think that is true of writers too.

That is why I never follow just one position. I follow a team like a body. Libero, setter, middle blocker, wing attacker — each is an organ, and the illness of one organ shows up in another. If you look only at the attacker, you will think the team is attacking poorly. But the problem may lie in the passer's reception, or in the middle blocker's movement rhythm.

There is a cultural difference I am always careful about. When I first came to Japan, I thought Japanese volleyball's discipline was an innate trait. After many years, I realized it is a product of the training system — a system that teaches young players that an imperfect dig deserves as much focused practice as a spike.

This differs from Vietnam, where volleyball is often taught with priority given to spectacular attacks. I am not saying one way is more correct. I am only saying that the two volleyball cultures measure success in two different ways, and therefore produce different players.

In the pandemic year of 2026, when every league was suspended, I turned to writing about simulated volleyball and esports matches. I once went to an empty arena one afternoon, just to sit there and listen. No cheering, no footsteps, only the hum of the air conditioning and the lonely bounce of a ball in a corner of the practice court.

Listening to an empty arena, I realized that noise was never the audience.

So, after all this, what do I believe?

I believe Japanese volleyball stands before a choice it has never faced: between optimizing data and expanding understanding. Those two paths are not opposed, but they demand two kinds of people. One is specialists who can read every number. The other is people who can ask where that number came from.

I choose to be the second. Not because I dismiss numbers, but because I believe a number only has value when we know how it was born.

For many years to come, I will keep sitting in the stands, opening my notebook, and counting the rallies no one scores. Because I believe the future of this sport lies not in what is recorded, but in what we choose to record.

And if a twenty-three-second rally has nine touches and only three are counted, then perhaps it is time we asked ourselves: where did the other six go, and who decided they were not worth remembering.