The Game Census
Princess's Peak cover art

Princess's Peak

Alircari · psmint7 · 2019-06-12

Steam

Casual

Modes: Single player

Releases: May 10, 2019 (PC (Microsoft Windows))

This is a puzzle game that incorporates guessing to get characters and interact with the characters. All characters are 18+ Beautiful Art Dynamic CGs 7 unique and different girls

Princess's Peak is a $0.99 Casual game released in 2019, with an owner estimate of 0 .. 20,000 and a Mostly Negative review sentiment (33% of 42 reviews).

33%
positive of 42 reviews
Mostly Negative
steam's rating (official)
0–20,000
owners (SteamSpy est.)
$0.99
steam price (US)

Health check

Quiet
  • · 5 reviews in the last 8 weeks (~1/week).
  • · Review velocity down 37% vs the prior 8 weeks.
  • · Top 51% of 29,079 Casual games in the census by review count.

Review momentum

PositiveNegative
4420192026Week of 2019-05-01: 3 positiveWeek of 2019-05-01: 4 negativeWeek of 2019-06-01: 4 positiveWeek of 2019-06-01: 1 negativeWeek of 2019-07-01: 1 positiveWeek of 2019-08-01: 1 negativeWeek of 2019-09-01: 2 negativeWeek of 2019-12-01: 2 negativeWeek of 2020-02-01: 2 negativeWeek of 2020-04-01: 1 positiveWeek of 2020-07-01: 1 negativeWeek of 2020-11-01: 1 positiveWeek of 2020-12-01: 1 negativeWeek of 2021-08-01: 1 negativeWeek of 2021-10-01: 1 negativeWeek of 2021-12-01: 1 positiveWeek of 2022-01-01: 1 negativeWeek of 2022-08-01: 2 negativeWeek of 2023-04-01: 1 negativeWeek of 2023-08-01: 1 negativeWeek of 2024-05-01: 1 negativeWeek of 2025-12-01: 1 positiveWeek of 2026-01-01: 1 positiveWeek of 2026-05-01: 1 negative
Weekly review counts (Steam review histogram). Positive above the line, negative below.

Details

WindowsSingle-playerSteam AchievementsSteam CloudFamily Sharing1 DLC

9 supported languages: English, French, German, Spanish - Spain, Russian, Japanese, Simplified Chinese, Traditional Chinese, Korean

Post-launch support: 1 DLC released, first 2019-05-10 (Steam store data)

Census log

Computed from census-recorded observations only — dates are observation dates.

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Similarity via IGDB.