The Spreadsheet That Returned Zero: The Discipline of N/A in Esports

Three in the morning, November 14. I was sitting in front of a monitor in a small apartment in Mapo-gu, Seoul. The analysis file opened to twelve pages and nine dimensions: patch, tournament format, roster and players, regional landscape, club finance, competitive-rules compliance, risk profile, public narrative, industry transmission. Every cell had a frame. Every frame had a bold header. And every header returned the same sentence: N/A — insufficient information.

No tournament name. No team name. No player name. No patch number. Not a single figure to hold on to. The only field left intact was the two-word label: esports.

I sat still for about ten minutes. The silence did not come from confusion. It came from realizing I had nearly done exactly what I had spent nine years criticizing my colleagues for.

In Seoul, esports analysis has split cleanly into two layers. Layer one is extraction: who said what, which team traded whom, which patch changed which number, which source published it, on what date. Layer two is interpretation: what those facts mean, who benefits, who loses a starting slot, whether the title actually changes hands.

The problem is that layer two has never admitted it lives off layer one. With no facts, layer two still runs. It runs on guesswork, on hazy memory, on "the way I feel about it." And because it is written in a confident voice, readers cannot separate analysis from inference wrapped up neatly.

During one summer split of the Korean national championship, I watched a "roster strength" chart go up with a specific score for every lane, while that team had not yet announced a starting lineup. Beautiful graphics. Clear scoring. And no basis whatsoever. That piece was shared thousands of times.

What I faced that November night was not a technical failure. It was a test. With every cell empty, I had three choices: write an empty piece and call it analysis; fill the blanks with what I thought I knew; or publish exactly what existed — which meant publishing the letters N/A.

I chose the third. I still believe it was the best decision I have made as a writer.

The null-value protocol is not an administrative procedure. It is a cognitive discipline.

When data does not exist, the correct answer is not the best-sounding answer but the most honest one: insufficient information to assess.

Of the nine dimensions I built, three expose most clearly how dangerous it is to fill blanks.

The first is competitive-rules compliance: competitive integrity, transfer and registration rules, contract compliance, protection of underage players, conflicts with the publisher. All of them returned "not observable." This is where most readers get it wrong. An empty compliance checklist is not a clean compliance checklist. No signal of a violation is entirely different from no violation. But in a reader's head, those two collapse into one line: this team has no problems.

The second is the risk profile: competitive, financial, personnel, reputational, systemic. Rating risk requires an identifiable subject — a team, a player, a club, an event. When the subject does not exist, the risk level is not "low." It is "undetermined." Those two words differ in kind, but on a printed report they differ by one line.

The third is narrative and expectation. This is where esports analysis fails most often. Expectation-gap analysis needs two ends: market expectation and a team's objective strength. Expectation without objective strength is a guess. Objective strength without expectation is a statistic. Only with both do you get analysis.

Based on my experience following matches across many seasons, I have noticed a pattern: the analyses that go wrong most often are not the ones using bad data, but the ones filling gaps with a confident tone. Bad data can be corrected. A baseless confident tone cannot, because there is nothing there to correct.

One thing I learned during 2026 to 2026, sitting in a nine-square-meter room and taking apart old matches frame by frame: missing data is usually the most important data. When a metric nobody publishes, it is often because someone does not want it published. An empty cell is sometimes already an answer — just an answer that was never written down.

Lee "Faker" Sang-hyeok's long career at T1 is one of the few things both data and audience memory agree on. Yet even there, most of what we call "understanding" is really just remembering. Remembering is not understanding. Remembering is full; understanding is usually empty.

I do not want to fool myself with the moral vanity of N/A.

My profession pays for certainty. Readers following a regular season do not buy doubt; they buy predictions. They want to know who wins the title, who gets relegated, who gets sold in the next transfer window. A piece saying "insufficient information to assess" earns two things: silence and one pageview.

There is a paradox here I have not solved. Data honesty and reader demand run in opposite directions, and the market rewards the side that loses that contest. The more decisive a writer is, the more likely the work spreads. The more careful a writer is, the more likely they are called useless.

I once tried a month of publishing only pieces with full confidence labels, named sources, and clearly bounded gaps. Average engagement fell nearly forty percent. The content had not gotten worse. It had simply stopped sounding like a prophecy.

There is another temptation, prettier and far more dangerous: poeticizing not-knowing. Turning emptiness into a manifesto. Writing that the gap is the deepest layer of understanding, that not knowing is a higher form of intelligence. It sounds right. But it is an escape hatch, not a position. It uses language to legitimize refusing to go get the data.

Some losses are greater than any ordinary win. An empty spreadsheet is not. It is just an empty spreadsheet.

If there is one lesson from that November night, it is this: the hardest part of analysis is not finding data, but refusing to speak before the data arrives.

I write in the gap between two teamfights. But I have to tell which gap holds information and which is merely empty.

The regular season is long. There will be patches that flip the standings, teams that suddenly struggle after looking safe, matches whose results do not reflect the run of play. Before every piece, I will ask myself one question: is what I am about to write something I know, or something I need to believe?

If the answer is the latter, I will leave that cell blank.