Nine Dimensions of a Swimming Lane, and the Discipline of Empty Cells

Late July 2026, I reopened a data file for a men's 200m freestyle final. The column for 50m split times was empty. Not a formula error, not a corrupted file. The organisers published the final result; nobody recorded the stroke rhythm, the stroke rate, the underwater time after the start.

I sat still in front of the screen for a long while. Sixteen years in this trade, starting from shifts at Phu Tho pool when I still wrote for Thanh Nien newspaper, I had grown used to diving into the data tank myself to find something. But sometimes the tank really is dry. That night I rebuilt nine analytical dimensions for a single lane. Eight of them ended with the same line: insufficient information to assess.

Swimming is the sport with the tightest results architecture in the Olympic programme, and at the same time the poorest in micro-data among top-tier sports. That contrast is where everything below begins.

Football has Opta, StatsBomb, xG, PPDA. People know how many seconds a midfielder takes to close down a pass, how many metres a full-back covers at high speed. Swimming is a different world. Official results exist. Final split times usually exist. But stroke rate, distance per stroke, underwater time, turn time at each wall — most of that sits with coaches and national federations, and nobody is obliged to publish it.

Numbers do not lie, but they know how to hide something. In swimming, numbers hide more than they tell.

There is one milestone anyone in this trade must remember. From 1 January 2026, FINA — now World Aquatics — banned polyurethane and non-woven swimsuits outright, ending the supersuit era. The wave of world records set in 2026-2026 still sits in the tables, cut off from any direct comparison. A milestone contaminated by technology cannot serve as a benchmark. Anyone quoting figures must know that before opening their mouth.

In 2026, when global football froze, I spent eight months archiving data from 2,400 Serie A matches between 2026 and 2026. Football stopped moving, but 2,400 matches kept whispering inside my spreadsheet. From that season I learned to read a sport through its data architecture before reading it through its results. Swimming, examined that way, shows a very different picture.

The cause is no mystery. Swimming runs on national federations and small clubs, where the budget for data analysis is far lower than at a mid-table European football club. No third party has enough commercial interest to collect and sell swimming micro-data, so there is no infrastructure. No infrastructure, no data. No data, and every analysis restarts from zero at every meet.

I rebuilt the nine dimensions, exactly the way I handle a player transfer dossier.

Dimension one, technique. Start, underwater phase, turns, finish, swim efficiency, adaptability between long course and short course. Assessing any of these requires splits and stroke rate. My file contained one line: the final time. Nothing to compare.

Dimension two, performance and data. World records, all-time lists, current-season rankings, sample stability. Results without context. The same 1:45 in a 50m long course and a 25m short course are two entirely different stories, and nothing guarantees they are labelled correctly in the loose summary tables floating around social media.

Dimension three, competition system and entry mechanism. A-cut and B-cut standards, national quotas, where the meet sits in the Olympic cycle. Without internal selection data, any guess about competitive motivation is decoration on top of a guess.

Dimension four, the world map. The United States, Australia, China, France, Hungary, Britain — who holds which event group, how their development pipelines run, where the talent supply chain flows. I know the broad picture. I have no figures to prove that broad picture.

Dimension five, rules and governance. Anti-doping, equipment regulations, eligibility. This is territory I never write about without the original document. No accusation without a basis, including soft accusations wrapped inside a conditional sentence.

Dimension six, athlete careers and team systems. The age-performance curve, shoulder risk for swimmers, knee risk for breaststrokers, big-meet psychology, multi-event load. Without medical files and injury history, any claim about a career peak is educated guesswork.

Dimension seven, the risk profile. Competitive, career, doping, rules, psychological and reputational, systemic. With no concrete subject, there is no risk to quantify.

Dimension eight, public narrative and expectations. This is the only dimension with enough material, because it lives on the front page. And precisely for that reason it is the most dangerous one. Public opinion is always thicker than data. The gap between expectation and reality is therefore always available to exploit, in both directions — and in Vietnamese swimming, where Asian medals from Nguyen Thi Anh Vien and Nguyen Huy Hoang once generated enormous waves of expectation, that gap is especially visible.

Dimension nine, industry ripple. The development market, equipment, broadcasting rights, the agent ecosystem, pool investment, derivative markets. Without a star signal, there is no ripple chain to measure.

Eight empty cells out of nine. I typed “insufficient information” eight times. That is a result, not a failure. The discipline of a data worker comes down to one thing: an empty cell is an empty cell, and must not be filled with a sentence that merely sounds reasonable.

The market does not pay for caution. The market pays for a clear prediction, with a number, with an arrow pointing somewhere.

So when eight of nine dimensions return empty, the natural reflex of a working analyst is to fill them in with something. A bit of experience. A bit of instinct. A bit of memory about a similar meet last year. The analysis looks full again, and nobody can check which part was data and which part was prose.

The paradox sits right there: precisely because swimming lacks micro-data, the swimming market prices on narrative more than football does. One medal, one national record, one continental record — enough to generate a wave of expectation with no yardstick. When everyone has to guess because nobody has numbers, the person willing to say “I don’t know yet” is the only one still holding an anchor point.

PPDA is not a number, it is a confession. In swimming, the empty cell is a confession too — the confession of an entire system that has not agreed to keep records.

Based on my experience covering swimming meets, there is a difference few people notice: most swimming micro-data already exists, it simply is not shared. The stopwatch in a coach’s hand holds turn times at every wall. Sensors in wearable devices hold stroke rate. What is missing is a common publication standard, and a market large enough to force publication.

That Saigon summer, I learned that data also needs watering. Unwatered, it does not die. It just sits quietly in a folder nobody opens, waiting for someone patient enough to click on it.

The signal I am tracking in the next cycle is not on the medal table. It is in the split-time column: whether federations publish more consistently, whether wearable data enters official records, whether some open data standard emerges for swimming. The day a single lane can be read in the same detail as a football match, the swimming market will have to reprice from scratch. Until that day, the most decent writer is the one who knows to leave the empty cell alone.