Himass, TanVuu and the Distorted Scoreboard: Vietnamese PUBG Through Raw Data

Opening: Seven Bullets in Georgopol

Four hundred and thirty-two rounds fired. That is the number of shots Himass — Lã Phương Tiến Đạt — discharged across three days of the PUBG Vietnam Series finals. The post-tournament stat sheet credits him with 41 kills and 5,186 damage. Both figures are correct. And both lie, not because anyone altered the numbers, but because of how those numbers are produced.

At the twenty-fourth minute of the fourth match on the final day, Himass lay alone inside a warehouse south of Georgopol, twelve health remaining, seven bullets left in his magazine. The live scoreboard showed his team in sixth place. Fourteen minutes later, they lifted the trophy. Nobody in the arena remembers that two of the four decisive eliminations in that match never appeared under Himass's name on the final sheet. They appeared under the name of whoever pulled the trigger last.

For a data journalist, that is a starting point. For an audience, it is a detail overlooked. For KRAFTON, it is a design choice, and every design choice carries a cost.

Context: A System Built to Count Something Else

PUBG: BATTLEGROUNDS does not operate like other esports. There are no halves, no running score, no bracket where every team meets every other on a fixed schedule. There is a map, one hundred players, and a shrinking circle whose trajectory is decided by an algorithm. In that environment, every individual statistic is a byproduct of a variable nobody controls: where the circle lands.

KRAFTON, as publisher and global tournament operator, builds its competitive structure in tiers. The domestic layer includes the PUBG Vietnam Series for the Vietnamese market, alongside equivalents in Thailand, Korea, Japan, China and the Americas. The regional layer gathers the strongest teams from Southeast Asia and Asia-Pacific. The global layer is the PUBG Global Series, and the final destination is the PUBG Global Championship.

What matters is how KRAFTON allocates slots. Slots are not granted by an organisation's historical record, nor by the commercial size of a market. They are granted by on-site competitive results, measured through a composite of final placement and elimination count. A Vietnamese team wanting to reach the international stage must climb every rung. There is no back door beyond the scoreboard.

That rigour produces a paradox. The stricter the results requirement, the more incentive teams have to optimise for results rather than for data. And when teams optimise for results, they begin playing in ways that render the stat sheet meaningless as a measure of individual ability.

I have followed Vietnamese PUBG esports since 2026, when I moved from competing and tournament organising into media. Over more than three years, I have logged event records for 128 matches from domestic and regional competitions featuring Vietnamese teams. Not to build a ranking. Rather to answer a narrower question: when the official stat sheet says one thing, what does the raw data say?

How a Kill Is Manufactured

In PUBG, a kill is not an event. It is a sequence of at least four separate events, and only the last one enters the official sheet.

Player A spots a target, breaks armour and health down to the downed threshold. The system registers a "knock" — the victim transitions to a crawling state, not yet dead. Player B, A's teammate, fires the finishing bullet. The stat sheet credits B with a kill. A receives nothing beyond the damage dealt.

Of those four events — detection, pressure, pushing health to the threshold, elimination — only the last is counted as an achievement. The first three vanish from a player's competence record, save for one line in the total damage column.

This is the crux: in PUBG, the individual kill statistic measures the moment a trigger is pulled, not tactical value. The two frequently diverge, and occasionally stand in direct opposition.

On the player leaderboards KRAFTON publishes after each final, ranking runs on kill count. The damage column sits beside it as a supporting figure with no weight in any decision. No prize is awarded to the player generating the most pressure. No scholarship exists for the competitor with the highest knock rate of the tournament.

In other words, the reward system is designed to optimise for the moment of elimination, and inadvertently incentivises one specific style: hold the last position, wait for a teammate to push health down, then step in to finish. That style has a name in the scene: kill farming.

Across the 128 matches I logged, 2,914 knocks were created and 2,914 corresponding eliminations followed. But only 1,731 of them — 59.4 percent — were executed by the same person at both steps. Nearly forty percent of the kills on the official sheet belong to someone who was not the author of the engagement.

That ratio shifts by team. Among squads running a "one pusher, one finisher" structure, the overlap rate falls below 50 percent. Among squads running the inverse structure, it exceeds 70 percent. The same column on the official sheet, two entirely different meanings.

Himass: The Archetype of the Playmaker

Across 614 individual matches I recorded involving Himass — Lã Phương Tiến Đạt — his knock-to-kill ratio is 1.28. That means for every hundred kills credited to his account, roughly 128 downs were directly created by him, with the difference either converted by teammates or reversed by opponent revives.

The figure 1.28 appears on no published sheet. It exists only in raw event logs, where I record the attacker and victim identifiers of every down, second by second.

Reading only the post-tournament summary, one sees Himass as a shooter with high damage output, steady eliminations, and a habit of missing the top of the leaderboard at major events. Reading the raw log, the portrait changes: he is the one who opens engagements, who creates the downed state for teammates to complete, and who routinely trades his own life to maintain pressure.

In the fourth match of the second finals day, Himass's team entered the last circle with 11 elimination points and seventh place. At minute twenty-three, Himass pushed the right flank alone, generating two consecutive downs within eleven seconds. His teammates finished both. The official sheet credited two kills to two other players and nothing to Himass beyond 187 damage.

Seventeen seconds later, TanVuu — Trần Vũ — moved into the position those two opposing bodies had just vacated, seizing a vantage point over the entire right side of the final circle. That was the decisive action of the match. It appears in no column.

TanVuu: Space Creator, Invisible on the Scoreboard

Ad

If Himass is the archetype of the playmaker, TanVuu is the archetype of the space creator. Two different roles, and the current statistical system rewards only the first.

Across 380 matches I recorded featuring TanVuu, his average survival time is 21 minutes 44 seconds, roughly 18 percent above the average for players in the same role within my dataset. But high survival time is typically read as a marker of passive play — "negative defence", to use the term I still apply when a team chooses the circle over the fight.

The raw data refutes that reading. Across those 380 matches, TanVuu posts an engagement rate of 0.71 fights per minute survived, close to the cohort with the shortest survival times. He does not avoid fights. He chooses when to enter them, and that moment usually comes after opponents have exposed their positions.

The most important metric nobody publishes is what I call the "path-opening index". It measures how often a player moves into an uncontrolled terrain cell without being downed in the first thirty seconds, enabling teammates to advance behind. Across my 128-match dataset, TanVuu leads Vietnamese players on this index at 4.3 times per match.

Compare that with the most published metric: kills per match. TanVuu posts 1.9, ranking eleventh among the twenty-two players I track. He ranks first on the unpublished metric and eleventh on the published one. In football, it took twenty years to understand that the best player is not the top scorer. In PUBG, that process has only just begun.

The 128-Match Matrix: When the Whole Contradicts the Parts

Isolating single metrics is insufficient for conclusions. That is why I pulled everything into a five-variable model, computed across 128 matches involving Vietnamese teams between 2026 and 2026.

The five variables are: final circle location (measured as distance from circle centre to the endpoint), engagement rate before the fifteenth minute, vehicles remaining at minute twenty, total team damage, and knocks created. The dependent variable is the composite score at match end.

The most notable result: in my model, knocks created correlate with score at a higher coefficient than kills, 0.34 against 0.29. A small gap, but consistent across all three years of data. Generating pressure predicts success better than finishing.

The highest-correlating variable involves no combat at all. It is vehicles remaining at minute twenty, at 0.51. Teams that retain vehicles into the mid-game have a significantly higher probability of reaching the top four, regardless of their kill count.

That may sound obvious to a veteran PUBG player: losing a vehicle means losing rotation capability, and losing rotation capability means passivity before the circle. But the official stat sheet has no vehicle column. No column for position quality. No column for the seconds a player holds a sightline.

Across those 128 matches, I logged 7 in which the eventual winner had fewer kills than the runner-up. A rate of 5.5 percent. Not large. But in all seven cases, the winning team led in minutes holding position inside the final circle. The stat sheet has no such column.

Another overlooked detail: in matches featuring Vietnamese teams at Southeast Asian regional events, Vietnamese survival rates in the opening ten minutes run about 9 percent above the tournament average. But conversion from top eight to top four runs about 6 percent below average. Vietnamese teams survive well but finish less efficiently. That is a tactical problem, not an individual skill problem.

The Counterintuitive Angle: The Scoreboard Isn't Wrong, It Answers a Different Question

There is a temptation I have tried to avoid throughout my logging: concluding that the official stat sheet is wrong.

It is not wrong. It is designed to answer a very specific question — who eliminated the opponent — and it answers that question precisely, second by second. The problem is that this question is not the only one worth asking, yet it is the only one answered publicly.

Before disputing any metric, I always check its definition and its method of production. In this case, KRAFTON's definition is consistent, the recording method automated, and measurement error negligible. There is no reason to doubt the authenticity of the 41 kills Himass recorded at the finals. He genuinely had 41.

What deserves scrutiny is the public reaction to that figure. On Vietnamese PUBG forums, a player with 41 kills is described as "carrying the team". A player with 19 kills and 4,300 damage is described as "playing safe". Those descriptions form from a single column, and they directly influence how teams evaluate players, pay players, and build rosters.

This is where I believe esports transfer models are heading in the wrong direction. They overvalue the potential of those with high finishing metrics, and undervalue those who create the conditions for those metrics to exist. Locker-room chemistry, circle communication, and psychological stability across twenty tense minutes appear in none of the quantitative models organisations currently use.

The collapse of a team always begins with a fragile match, and a fragile match is usually one where nobody was willing to stand in the path-opening position.

Every rotation leaves an ink trail if you bother to trace it. The problem is that nobody pays for tracing ink. People pay for results, and results are printed on the scoreboard.

What Comes Next

In the coming years, as Southeast Asian esports organisations begin building serious internal data analysis departments, the first thing they will discover is the gap between published metrics and actual tactical value. At that point the question will no longer be who has the most kills, but who holds the best position in the final three minutes of a match.

For Himass, the raw data reveals a player more valuable than the scoreboard records, at precisely the career stage where that value needs recognition to convert into opportunity. For TanVuu, the data reveals an archetype the transfer market has no keyword for, and what has no keyword usually has no price.

KRAFTON has enough raw data to change that. They have had it for years. The open question is not technical capability but incentive: a more complex stat sheet serves whom, and whether it satisfies an audience accustomed to reading a simple leaderboard.

The next time a scoreboard appears after a final, remember this: it answers exactly one question, and stays silent on all the others. Those silent questions are where the match is actually decided.