An empty nine-dimension analysis: What tennis teaches us about being honest with data

I recently received a tennis analysis report more than three thousand words long. It contained nine major sections: technical analysis, form metrics, tournament schedule, ranking position, competitive environment, rule compliance, team operations, risk, and media narrative. For a journalist, it looked like a carefully arranged information feast. But as I reached the conclusions, every section returned the same lifeless string: N/A – not enough information. No number, no player name, no tournament title could be identified.

That brings to mind a tennis scene: a player walks onto court and serves while the shot clock has not even started. The match appears to follow a complete process, but the chair umpire has never blown the whistle. An analysis can create the impression that everything has been processed while the entire core is empty. After more than twenty-five years sitting near the court sidelines, I have learned that in sports, emptiness often says more than numbers. When a report contains no athlete’s name, that absence itself is a signal.

Why do I care? Because in the tennis tournaments I follow, a writer cannot open an article with a blank data table. Before each match, I often spend hours breaking down first-serve percentage, second-serve points won, or break-point conversion. If a player wins a match but his PPDA has declined over three recent matches, I immediately flag the downward risk. If he loses but returns serve better than the season average, I highlight a possible recovery. But an analysis without source data tricks readers into believing everything is clear, when in truth we are walking through a fogged forest.

The most dangerous thing is not lack of information. The most dangerous thing is a framework that looks rigorous, divided into sections with tables, red flags, and a risk checklist, while every cell is empty. I call it “the dinner party without food.” Guests are invited, the table is set with white linen, empty plates are neatly placed, but the kitchen has never cooked. In modern sports journalism this syndrome appears more often than one expects because analytical tools are becoming automated and can generate a long article even when no actual event has been verified.

In 2026, when I was a freelance writer in Melbourne, I received a tip about an 18-year-old winger at Melbourne City who could move to Europe. Major papers at the time claimed he would stay. If I had immediately published an analysis without checking the source, I might have created a complete-sounding story that lacked the truth. Instead I kept the tip confidential for months and went public only when Celtic FC officially confirmed their interest. Tennis taught me that a good return cannot be made if you stand in the wrong position. The writer’s right position is between the event and the truth, not in front of the pressure to publish at all costs.

I once romanticized Croatia during the 2026 World Cup. After the final against France, I was devastated that my favourite team had lost 2–4. But when I asked myself “what could have gone wrong?”, I realized I had missed their obvious fatigue signs since the semi-final. I returned to the hotel, rewatched all the footage for three days, and wrote a 3,000-word self-criticism about my own bias. That experience taught me an unbreakable rule: if an analysis only seeks what sounds pleasant or soothes the writer’s ego, its value is nearly zero.

Tennis illustrates this best because it is a lonely sport where players have no coach beside them for most of the match. They must decide every point and take responsibility for every mis-hit. When an analysis has no player name, no match data, and no seasonal context, accepting the answer “not enough information” is both correct and courageous. In science, that is called a system being honest about its limits. In sports journalism, it is an attitude that refuses the temptation of a seemingly comprehensive article.

Another point must be stated plainly: N/A does not mean safe. In sports operations, “missing data” is a risk state, not a clean state. If an athlete is injured but full medical data is unavailable, we cannot conclude he is healthy. If a tennis player cannot be identified, we cannot say there is no rule violation. When every cell in an analysis table is empty, it is even more alarming than a negative conclusion. A negative conclusion at least tells us the analyst took a definite view. But N/A filling the entire frame reminds us that our analytical system is constructing an illusion of competence.

I still remember March 2026, when I stood in front of a deserted Melbourne Cricket Ground. The city was locked down by the pandemic, tournaments were cancelled, and I could write nothing except a personal diary. When stadiums emptied, I understood that crowd noise was not only atmosphere; it was also the thing hiding the empty spaces of strategy. Similarly, a verbose analysis report can hide the fact that we do not really know who we are talking about. In the next few weeks, I wrote an essay about empty stands and it unexpectedly gained over ten thousand shares. Its main character was not an athlete, but absence itself, partly because I was willing to look at the void instead of pretending it was not there.

My trademark phrase is: “I do not merely read the match, I also read what players do not say.” That is why I rarely publish hot takes within the first 24 hours after a match. A tennis player may hide fatigue behind a television smile. A football team may hide an internal rift behind a narrow victory. If a writer only reads public data and judges immediately, the real story will be missed. That habit often makes me slower than colleagues in breaking news, but it is also what keeps my longer analyses alive over time.

Returning to the nine-dimension report, there is another way to perceive it: this is not necessarily a failure, but a mirror for the sports analytics industry. Increasingly, we are tempted to trust fancy dashboards because they look beautiful and their language sounds authoritative. But data cannot lie; only the way we interpret data can. If a system cannot even identify whom it is tracking, the honest answer is to stop and request more sources, rather than to fill an empty shell with sporting metaphors. That patience is becoming scarce in a speeding media environment, and it is therefore more valuable than ever.

If there is one thing I hope for the next generation of sports journalists in Vietnam, it is the courage to say “I do not have enough data” without shame. In tennis, a point cannot begin until the chair umpire calls “ready.” An analysis should also begin only when the writer has enough people, enough statistics, and enough context to ensure he is not telling a story on behalf of a ghost. Writing a long article without information is like holding a racket without strings and convincing yourself you have won a Grand Slam. That trick may fool the audience for one evening, but it cannot build a career.

This afternoon, walking past a training court in Melbourne, I saw a young tennis player standing alone at the edge, not in a hurry to step in. He watched the court for two minutes before crossing the baseline with his racket. I do not know his name or his ranking, but I believe he understands what many analysts have forgotten: you must stand in the right place before you hit the first ball.