The Last of Us Tops the 100 Greatest Games List: The Dispute Begins With the Scoring Criteria

In a list of the 100 greatest games published by Kinda Funny Games, the No. 1 spot went to The Last of Us. The name had barely landed before the community split in two. One side called it the safe choice. The other called it a late honour for cinematic storytelling. I went back to the list and looked for three things that can be checked: criteria, weighting, and sample size. All three were missing. A ranking that does not publish its method can still be right, but it cannot be used as a measurement of community sentiment. That is where the argument starts.

Kinda Funny Games is a creator-led games outlet with a large international following. Its list of the 100 greatest games put The Last of Us at the top. The original article opens with controversy before revealing the ranking, then quotes conflicting views. The Last of Us Part II is placed next to the first game: one is the safe masterpiece, the other is the more ambitious sequel that divided players over gameplay. That framing makes the list feel fiercely contested. A close read finds no sales figures, no completion rates, no concurrent-player numbers, and no survey size. The only voices are anonymous: 'one player', 'some gamers', 'many people'. No platform, no count, no date. In data analysis, that is a sample that does not exist.

The useful question is not whether The Last of Us deserves the place. It is which criterion the list is arguing about. One camp scores historical influence: the game shifted the industry's storytelling standard. Another scores systemic depth: gameplay, tactical freedom, mechanical durability. A third scores popularity. These are not the same unit. Putting them into one table without publishing weights is like calculating xG for a basketball game and comparing it with PPDA from a football match. The spreadsheet still looks clean, but the conclusion is meaningless. The core of the dispute is a missing rubric, not a missing claim to greatness.

Data context: Kinda Funny Games published the list of the 100 greatest games; The Last of Us took No. 1. The analytical material does not state a publication date, a method, or a survey sample. The original article quotes 'one player' and 'some gamers' without platform, count, or timeframe. This is an editorial ranking, not a social survey. Readers need to separate a weighty opinion from a measured sample. The original article supplies opinion. It does not supply a sample.

Based on my experience covering matches, a ranking is useful only when readers know what it measures. For teams, analysts publish xG, PPDA, distance covered, and home-win rates. For games, a publisher could disclose sales, completion rates, average play time, and weighted review scores. The Kinda Funny Games list has none of these. It is an editorial statement. Editorial statements have every right to exist. The problem is that this one is presented as an objective order of games history. When an editorial statement wears the clothes of objective order, readers confuse the publisher's authority with evidence.

The spreadsheet is the altar, and I offer myself to every number. But an altar means something only when the number is defined. Here the only data point is the No. 1 position. That position does not say how far ahead The Last of Us is, where it is ahead, or under which conditions. It says that a group of people put it first. That is a media event, not a measurement.

The counter-intuitive angle: the fiercer the dispute, the more successful the list. The original article opens with controversy before revealing the ranking. That reverses cause and effect. Controversy is not a by-product of the list; it is the product designed to give the list a reason to exist. A ranking that sparks no argument has no life cycle. A ranking that sparks argument gets shared, commented on, debated, and outlives the original content. In the attention economy, an opaque criterion is not a bug. It is a tool.

From the Bundesliga to Worlds, I look for the same thing: a repeatable truth. The repeatable truth here is that when criteria are not published, people argue about results instead of arguing about the yardstick. This matches GOAT debates in esports. Fans compare trophies, others compare peak form, others compare influence on the meta. Nobody is wrong. They are grading different exams.

The opposition has two camps: those who argue Part II surpassed the first game on gameplay, and those who put Sekiro or another title above it. Both camps are coherent inside their own frame. The original article offers no data to adjudicate. It records that a dispute exists. Recording a dispute is not measuring a dispute. An anonymous quote can represent a strand of opinion, but it cannot represent a community. To know what a community thinks, you need a sample, a platform, a timeframe, and a selection method. Without them, any claim about 'the majority' is inference.

Every crowd is wrong. The only thing that is not wrong is probability. Here the only probability we can estimate is the probability that a list like this sparks argument: very high. The probability that The Last of Us is truly the greatest game in history cannot be calculated from a ranking with no sample. To calculate it, you need to define 'greatest', choose weights, and accept that the result changes when the weights change. That is why serious esports rankings publish criteria first. They know that without disclosure, controversy eats credibility. A ranking without published criteria can attract short-term attention, but it cannot become a long-term reference.

The original article carries one secondary signal. On the same site as the list are headlines about LCK, VCT, and MLBB Vietnam. A general games outlet maintaining an esports vertical shows that esports has become a standing part of the publishing calendar. That signal does not establish the strength of a league or a team. It only shows that editors treat esports as content with an audience. For data work, games criticism must be separated from esports news. A wrong label can distort the whole downstream dataset. Folding The Last of Us into esports would contaminate entity counts, topic distribution, and sentiment baselines. A list without published weights can still be a fine editorial work; it cannot be evidence. This applies to player rankings, team rankings, and game rankings.

Where could the assumption be wrong? If Kinda Funny Games published its criteria in another article that the analytical material did not capture, the conclusion about a missing method could be wrong. If the list came from an internal vote with recorded ballots, a weighting could exist without being disclosed in the article. In that case, the argument should move from 'they have no criteria' to 'which criteria did they choose, and why'. I keep that possibility open. Data does not lie, but readers of data can read too little.

The next-cycle signal is not the No. 1 spot. It is whether the next list publishes a rubric before it publishes a ranking. If it does, controversy will fall, and so will attention value. If it does not, the 'controversial ranking' model will keep being copied. For data work, this article should be classified as games criticism, not esports. A wrong label can distort the whole downstream dataset. When a ranking does not say what it measures, the reader should ask: who is it selling to?