
Lunar's Chosen - Episode 1
PTGames · 2024-03-21
Modes: Single player · Perspectives: First person, Third person
Releases: Dec 29, 2022 (Mac), Nov 02, 2021 (PC (Microsoft Windows)), Dec 29, 2022 (Linux)
Lunar's Chosen is a story heavy adult visual novel. Play as the main character through a story filled with sex, mystery, magic and beautiful women.
Lunar's Chosen is a fantasy based, story heavy, adult game. Play as the main character who is bestowed the ability to read minds by the Goddess Lunar, but that's not all his power can do, even if he doesn't know it yet. Help him discover more about his abilities and the people around him as he navigates this new found power. Meet with a witch who knows a lot about magic and quite likes to experiment using the new and unusual form of magic you now possess. Unfortunately, others are also interested in this unique power. Moving in with your best friend seemed like a good idea at first, but now (Storyline via IGDB)
Health check
- · 14 reviews in the last 8 weeks (~2/week).
- · Review velocity down 26% vs the prior 8 weeks.
- · Top 18% of 15,708 Casual games in the census by review count.
Review-multiple estimate from 683 total reviews — how this is computed.
Review momentum
Completion
- · 37.1% of players earned Secrets
- · 15.4% of players earned Intimate Meg
- · 1.4% of players earned Sleuth
Global achievement rates from Steam.
Details
1 supported languages: English
Post-launch support: 3 DLC released, first 2021-11-13, latest 2022-11-01 (Steam store data)
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 266 | 16% | 51 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Census log
- 2022-10-01First review activity on record (week of 2022-10-01).
- 2023-12-01Biggest review week on record: 10 reviews (week of 2023-12-01).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Parasite BlackThe Symbiant Re:Union
Similarity via IGDB.