Steam market intelligence

Set Yourself on Fire

98% positive · 413 Steam reviews · released Apr 24, 2026 · by Denhop

What it likely sold — estimate, stated as a range on purpose

No estimate for this title — free-to-play games have no unit-sales model here. That's the honest answer, not a gap.

Player voice — measured shares of Steam thumbs, never a model

Last 90 days: 99% positive across 78 stored reviews. Casual games with 100+ reviews typically sit around 86% (median of 4073 games).

Story & writing98% positive · 127 mentions

“It's very difficult to put into words how I feel about this but it spoke to me in a way I feel no other story has. I want to cry”Recommended · Steam review · Apr 2026 · 2 h played · Report / request removal

Visuals & audio99% positive · 117 mentions

“It's one of the times where I don't really have the words to describe what I want to say. I dig deeper and deeper, but still come up empty handed, as all words just seem paltry. It makes me feel things that I don't have names or words for…”Recommended · Steam review · Apr 2026 · 7 h played · Report / request removal

Price & value100% positive · 14 mentions

“Intriguing and Beautiful. A quick read absolutely drowning in style. Whether or not this story is for you will be apparent by the fourth chapter. Elements of the writing are overwrought, others read as pure stream of consciousness…”Recommended · Steam review · Apr 2026 · 2 h played · Report / request removal

323 recent English reviews stored · topics keyword-matched · topics under 12 mentions stay hidden · methodology

Reviews are shown as published on Steam, including reviews from key activations and free copies — so percentages here can differ from the score on the Steam store page. GameTrend does not check whether reviewers bought or played the game.

Game DNA — store facts, community tag votes, labeled AI inference

How you play together

Single-player

Platform features

Full controller support

Business model

Free to play

Sources: Valve store fields · community tag votes · AI-inferred values are marked and drawn from a fixed vocabulary.

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