An Empty Spreadsheet After Every VCS Week: What Language Does Vietnamese Esports Use to Read Itself?

After the final match day of the fourth week of the group stage, I opened my spreadsheet and counted again. Forty-one columns: gold difference at 15 minutes, dragon control rate, creep score per minute, damage per thousand gold, win rate by mid–jungle pairing. Not a single row had been filled. I stayed forty minutes past the end of the broadcast, rewinding the footage, dragging the timeline back and forth over a mid-lane fight, and realised I was doing exactly what I had done eighteen years earlier with a notebook and a remote control.

The problem was not me. The problem was that nobody had published a single number for me to write down.

I have been writing about esports for Vietnamese readers for five years, and in all that time the only figures that appear consistently in post-match stat sheets are kill counts and KDA. Those two numbers, standing alone, say nothing about how a team actually won. A professional esports match generates thousands of data points every minute, yet almost all of it vanishes the moment the game ends, because nobody steps forward to collect and publish it. That is "insufficient data" in its most primitive form: data that was never generated inside the community's recording system, rather than data hidden by someone.

VCS is Vietnam's top League of Legends competition, home to teams such as GAM Esports and Team Flash, with a roster of players whose names local audiences know one by one. Finals viewership runs into hundreds of thousands, occasionally touching seven figures once replay platforms are counted. Sponsors arrive, prize pools grow, and domestic transfer contracts now carry figures that make headlines.

Yet the data infrastructure remains at amateur level. Major leagues in Korea and China publish post-match stat sheets almost instantly: gold difference at each time marker, major-objective control rates, vision metrics, damage efficiency per thousand gold. In Vietnam, a reporter who wants those numbers has to rewind the tape and count by hand. I have done it. I know how long it takes, and I know why almost nobody does.

There is a mismatch I can see clearly after living in both esports cultures. In Korea, match data is part of the production, like the scoreboard graphics. In Vietnam, data is treated as something for foreigners, or for eccentrics who like tables. When Đỗ Duy Khánh (Levi) returned from his spells in the LPL and North America, domestic coverage described him with adjectives, while international data desks described him with gold difference at 10 minutes and kill participation rate. That mismatch is not cultural. It is a matter of budget and habit.

Understanding a match requires at least three layers of data, and all three are empty here.

The first layer is pick and ban. Nobody publishes champion win rates after each week of VCS play. That means when a team loses because it handed over a strong champion, there is no way to prove whether that was a coaching error or a reasonable choice given the specific state of the game. Without win rates, every draft debate collapses into sentiment and reputation. The winning team is praised for strategy, the losing team accused of weak mentality. Same action, two readings, and nothing to adjudicate.

The second layer is in-game economy. Gold difference at 15 minutes is the metric I watch most when reviewing footage. It separates a clean win from a win built on an opponent's mistake in the thirtieth minute. A team can finish plus 4,000 gold while sitting at minus 1,200 at the 15-minute mark, meaning it lost the first half and won through two isolated fights. The two stories are entirely different. Without that metric, both matches get described with the single phrase "comeback", and the reader has no way to tell skill from luck.

The third layer is pressure context. A player posting a high creep score in a game where the opponent abandoned the lane at minute 10 is not the same as a player matching that number in a game that stayed tense until minute 30. Without pressure data, every individual ranking is flat and meaningless.

I once stood in exactly this gap, only in a different game. In 2026 I hand-charted metrics from 182 V-League matches off video, counting every pressing sequence, and found that Long An had the lowest PPDA in the league at just 7.8. They let opponents hold the ball comfortably yet conceded only 0.7 goals per match thanks to extremely fast transitions. I wrote about it and a veteran coach called it soulless statistics. But a young assistant at Bình Dương invited me to build a pressing map for the club. V-League is a mess, but every mess has its own rules.

What is worth noting is that esports is far easier than football. In football I had to define for myself what a successful pressing sequence even was. In League of Legends, the software already records everything. Gold, creeps, vision, damage, ability cooldown timings — all of it sits inside the match file. The only unknown is that nobody will spend three hours turning it into a table for readers.

In 2026 I staked my entire career on a probability model named Croatia, and the model was right. I am not telling this to boast. I am telling it to say that a model is only right when it has input numbers. Croatia was not a miracle, but well-managed variance — and I knew that because I had counted their expected-goals figures after every match, including the ones that went thirty minutes beyond ninety. Without a single number in hand, I would not have dared to put my belief on the line.

Here I have to argue against myself, because that is the only way not to turn data into a new religion. Heat maps are becoming a form of fortune-telling. People colour activity zones on a map, look at the red cloud and draw conclusions about a player's style, when what they are seeing is simply a consequence of role within the composition. Every jungler has a sprawling heat map. Every support has a cloud concentrated in two lanes. That describes the job, not the ability.

More dangerous is the habit of filling gaps with prose. I once received a nine-part analysis, complete with solemn headings: patch analysis, format analysis, roster analysis, financial analysis, risk analysis, media outlook. The structure was as handsome as a textbook. And in every box the author wrote exactly one line: insufficient information. Not a single verified figure. It was the skeleton of an analysis whose flesh never existed.

A framework is not an analysis. Many headings are not much understanding. We think we understand the game, until the spreadsheet opens our eyes. And sometimes the spreadsheet opens our eyes by showing that it is entirely empty.

In this seasonal cycle, there is one signal I consider more worth tracking than any transfer rumour: if someone in Vietnam starts publishing champion win rates and 15-minute gold differences immediately after each VCS week, that person will define the terms of the debate for the whole season. Numbers never lie; we simply have not asked the right question. Vietnam's esports problem has never been a shortage of games or audiences. It is that nobody has sat down and counted.