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Steam market intelligence

Please, Forgive Me

67% positive · 294 Steam reviews · released Jul 17, 2023 · by REVVALUTION Studio

HorrorPsychological HorrorDarkDemonsSupernaturalCinematicDynamic NarrationSingleplayer

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

Lifetime units: ~11.2k (P10–P90: 4.5k – 24.5k)

Gross revenue: ~$64k (P10–P90: $25.6k – $141k)

Estimate, method v1.0 — before Steam's ~30% share, refunds and VAT. The band approximates where about 8 in 10 comparable games land in published studies; some sit outside it. Our own hit rate goes on the accuracy ledger once measured. How we estimate

Estimates are statistical inferences from public data. They are not sourced from Valve or the developer and may deviate materially from actual results. Do not rely on them for investment or contractual decisions. As of Oct 1, 2026.

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

Story & writing67% positive · 27 mentions
“Nice Scary game. Add Skip cutscenes please!”Recommended · Steam review · Mar 2025 · 1 h played · Report / request removal
Visuals & audio75% positive · 20 mentions
“Please, Forgive Me is a psychological horror adventure developed and published by REVVALUTION Studio that delivers a tightly focused narrative within a relatively short playtime. Designed as a first-person walking simulator, the game…”Recommended · Steam review · Jul 2026 · 13 h played · Report / request removal

78 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

Perspective

First-person

Technology

3D

Mood & themes

HorrorDark

How you play together

Single-player

Platform features

Achievements

Business model

Buy to play

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

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