When the Spreadsheet Is Empty: The Discipline of Saying “Insufficient Information”

7:40 in the morning at an analysis room in Ho Chi Minh City. On screen is a spreadsheet with eleven columns: matches played, win rate, KDA, gold per minute, kill participation, vision score per minute, resource differential at minute 15, win rate after taking the Herald, win rate after losing the first Elemental Drake, number of mid-lane picks, and average time to take the first tower. Seven of the eleven columns are completely empty.

The head coach pointed at the screen and asked: which team is stronger? I answered: insufficient information. He nodded, but that nod carried the delay of a man who had just received an answer he did not want. In this industry, “insufficient information” is treated as a poor answer. People want a judgement, not a blank space.

Four days later, a transfer report claimed that team had closed a deal for a top laner for a fee of “around six figures”. No agent named, no contract length, no release clause, no signing date. The seven empty cells in my spreadsheet remained empty. In front of the audience, everything had been filled in with a name and a number that carried no source.

The mistake in Surabaya taught me to question data, not to trust it.

A cycle in which blank space is sold

The transfer window is the only period in the year when a lack of information has higher commercial value than information. When there is news, people read it once. When there is no news, they read it ten times, comment thirty times, and share it until it becomes collective memory. Blank space is not a gap to be filled. It is a product.

I have followed Southeast Asian esports since 2026, when I was competing and running tournaments, before moving into the data side. The daily work is not predicting who wins the title. The work is breaking a source down into nine groups: game version and meta, tournament format, roster and form, regional landscape, club finances, governance compliance, risk profile, public narrative, and the transmission line into the industry. Each group has its own table, its own criteria, and its own confidence column.

An honest deconstruction can legitimately end with all nine groups reading “insufficient information”. Outsiders will assume it is a faulty product. In fact it is the most complete product that can be built from an empty input. The report has not failed. It simply reflects the quality of the raw material.

In Vietnam the pressure is heavier than elsewhere for two reasons. The Vietnamese esports community is large, reacts fast, and is extremely sensitive to roster news. At the same time, most transfer records in the region are not published as fully as in the major leagues, so indirect sources are forced to become primary sources. When the primary source is indirect, the reporter has to build their own scale. Otherwise, readers will assume that everything they read carries equal credibility.

Based on my experience tracking matches and transfer windows in the region, I have found a fairly stable rule: the quality of a community's discussion does not depend on the amount of news it receives, but on whether the people delivering that news dare to rank it.

Three kinds of empty cells and the cost of merging them

The first kind is empty because nobody knows yet. The roster is not announced, the contract is not signed, the decision has not been made. This kind fills itself over time, and filling it with guesswork does not make it arrive a single second sooner. The correct handling is to record the expected date of information — the roster lock date, the transfer window opening, the tournament start — and track to that date.

The second kind is empty because nobody has measured it. Vision score, resource differential, win rate after major objectives are all measurable, but only with access to match data or someone sitting down to break down the tape. A team that does not publish its scrim data does not mean it has no data. This is the kind of empty cell most often mistreated, because analysts tend to treat “I don't have the number” as meaning “no number exists”.

The third kind is empty because it cannot be measured directly. Team chemistry, ability to withstand pressure, discipline in executing calls inside a fight — these have no unit of measurement. They can only be inferred through proxies: number of off-tempo rotations, average distance between the jungler and the mid laner in the thirty seconds before a fight, ultimate usage rate in two-for-two situations.

If these three kinds are merged into one group called “unknown”, every conclusion drawn afterwards is wrong. Readers will equate an unsigned contract with an uncollected metric, and then equate both with a concept that cannot be measured at all. Those three things require three different treatments, three different levels of urgency, and produce three different consequences when we guess wrong.

A four-tier ladder for a transfer story

During the transfer window, I do not ask whether a story is true or false. I ask which tier it sits on.

Tier zero: one person says it. Unverifiable, non-excludable. Informational value is close to zero, but tracking value is not — it shows which topic is drawing attention.

Tier one: multiple independent sources give the same matching detail. Note the word “detail”. Three sources all saying “there are talks” upgrades nothing. Three sources all saying the contract length is two years and the role is top lane starts to carry weight.

Tier two: verifiable indirect evidence. The player's name disappears from team photos, appears on a substitute registration list, the sponsor banner on the jersey changes, or a ranked account switches servers three days in a row. This is the tier most fans can check themselves if they know where to look.

Tier three: binding documents. An official club announcement, confirmation from the tournament organiser, a published competitive roster, or a contract whose clauses have been named. At this tier the question is no longer “is it true” but “which clause”.

These four tiers answer something most reports do not: if this story is wrong, how will we know? A story that cannot be falsified is not news. It is a belief.

Where the money actually sits in a deal

The transfer fee that gets published is usually the largest number in the plausible range, not the number that was paid. The real structure of an esports deal sits in four other places: contract length, release clause, the revenue share on personal media, and performance-based salary structure.

Contract length determines resale value at the next sale. A player with two years left carries entirely different negotiating power from a player with six months left, even if both have identical statistics. This is why major names such as Đỗ Duy Khánh or Lê Quang Duy are always at the centre of rumours: not because they are negotiating, but because their contracts create a finite window that anyone can count.

A release clause is the boundary between negotiation and outright purchase. When a contract has a release clause, the buying team does not need to persuade the selling team. When it does not, every offer is merely a starting point. Fans usually hear the price, but what decides whether a deal succeeds is whether the clause exists, and whether it activates by season or by date.

Performance-based salary is the most overlooked part. A player on a low base with bonuses tied to win rate and titles can be more expensive than a player on a high fixed salary. For teams whose wage bill is capped by internal policy or league regulation, this structure is the tool that keeps a roster together without breaking the ceiling.

And behind it all is the agent. An agent with real movement usually leaves traces: a business trip to exactly the city where the buying team is based, an appearance at a specific sponsor's event, or a post about a tournament the client has never played in. No trace at all for ten consecutive days, on a deal being rumoured loudly, usually means the deal is stuck on a side clause — not that it is progressing well.

The three-source rule and the trap of on-site variables

I hold myself to one hard rule: never make a claim about a number until there are at least three independent sources, and at least one of those three must let me inspect how the number was produced.

That rule was born in Surabaya. That year I reported that my team controlled possession well and recommended pushing the defensive line higher. The result was a three-goal defeat, with the space behind both full-backs exploited repeatedly. After three nights of reviewing every phase, I discovered I had ignored the opponent's pressing metric. They were deliberately ceding the ball to counter-attack. The possession figure was arithmetically correct and semantically wrong. I wrote a ten-page self-critique, sent it to the coaching staff, and proposed a cross-checking process before every match.

That lesson bites harder in esports, because there are more on-site variables. A metric taken from a server with different ping, on a different game version, with a roster that just swapped two roles, cannot be placed beside a metric taken in a centralised competitive environment. In 2026, I once built a dataset from crowdless matches in the region and found that sideways passing rose noticeably while long-range shots fell. That does not mean sideways passing is better. It means that when external pressure disappears, competitive behaviour changes. Dropping the crowd variable out of the analysis is dropping part of the measurement itself.

For the same reason, I never read a win rate without reading the sample size. A team that wins seven of seven may be strong, or may have just met seven weak opponents in a row. The only way to tell is to extend the sample forward and record the conditions of each match.

When “insufficient information” becomes a hiding place

World Cup 2026 lifted the trophy with tackles nobody remembers. No statistics table records the moment a midfielder ran backwards to cut off a passing lane in the 78th minute that no one called out.

But precisely because I have used that argument for years, I have to say the uncomfortable part: “insufficient information” can also be a hiding place. It is the easiest sentence to say in any meeting, and because it is easy, it gets abused. Three markers separate discipline from laziness wearing the shirt of discipline.

First, writing “insufficient information” without writing the reason. An empty cell with no reason cannot become any action. An empty cell that says “missing because the tracker has no group-stage data” immediately becomes a task.

Second, writing “insufficient information” about things that can be measured through proxies. Team chemistry cannot be measured directly, but the movement distance between two players inside a fight can be. Using a blank cell to avoid breaking down the tape is a form of avoidance, not a form of caution.

Third, writing “insufficient information” and then never setting a review date. An empty cell with no appointment stays empty forever.

In the opposite direction, there is another trap I have fallen into: reading correlation as causation. The win rate of teams that take the Herald is very high, but that does not mean taking the Herald creates wins. The team that is already ahead is the team with enough resources to go take the Herald. The cause lies in the leading state, not in the objective. If a team reads the stat sheet and builds its strategy around contesting the Herald at all costs, it will lose more than it wins.

This is why I always split my analysis into two columns: the first is what the data shows, the second is what the data cannot yet conclude. Readers are entitled to see both.

Signals to track in the next cycle

My watchlist for the coming period has only four items, and each has a self-eliminating condition.

The roster lock date is the first marker. After that date, every rumour about a player automatically drops one tier, because the roster is now legally bound to the competition.

Any change in the jungler role is the second item. This is the position where a small change produces the largest error across the team's entire statistical chain, because the jungler's tempo determines the tempo of both lanes.

The third item is the first official matches after the transfer window closes. Three matches are not enough to conclude anything about strength, but they are enough to check whether the new roster preserves the vision structure the old roster left behind.

The fourth item is silence. A deal with no news for ten days, while three other deals are announced in the same window, is an indicator that can be verified simply by counting.

An empty report is not a worthless report. It is the correct starting point, and the only thing we genuinely own before information arrives. If an analysis of a match that has not yet been played contains no empty cells at all, the writer has filled them with his own bias — and readers will pay for that filling with trust placed in the wrong place.

World Cup 2026 lifted the trophy with tackles nobody remembers. The coming transfer window will be decided by clauses nobody quotes.