
Rocking Legend
Domuro Soft · 2024-06-17
Modes: Single player, Multiplayer, Co-operative · Perspectives: First person, Virtual Reality
Releases: Aug 06, 2020 (SteamVR)
Shred your guitar or smash your drum set like a rockstar! Play the original soundtrack in dynamic stages, progress through the campaign to get new skins, or customize your experience with custom songs, gameplay modifiers, and multiple control schemas!
Rocking Legend is a Casual, Indie, and Simulation game released in 2024, priced at $19.99, with an estimated 20,000 to 50,000 owners and a Mostly Positive review sentiment (73% of 79 reviews).
0 players in-game as of 2026-10-15 00:00 UTC (census sample)
Health check
- · 0 players in-game at the last census sample.
- · 14 reviews in the last 8 weeks (~2/week).
- · Review velocity down 44% vs the prior 8 weeks.
- · Top 37% of 29,339 Casual games in the census by review count.
Health tier since 2026-09-02
Review-multiple estimate from 79 total reviews — how this is computed.
All-time low: $6.79 at Steam (2026-06-25)via IsThereAnyDeal
12-month high $24.99 · on sale 9 of 13 observed days (census price snapshots)
Review momentum
Players online
Price history
Completion
- · 28% of players earned Rank B - guitar
- · 2.7% of players earned Rank SSS - guitar
- · 0.3% of players earned Pimp my Drums!
Global achievement rates from Steam.
Details
9 supported languages: English, French, Italian, German, Spanish - Spain, Simplified Chinese, Japanese, Portuguese - Brazil, Russian
Player tags
3DVRPvPMusicArcadeRhythmRelaxingDifficultControllerFuturistic
Census log
- 2020-08-01First review activity on record (week of 2020-08-01).
- 2020-08-01Biggest review week on record: 16 reviews (week of 2020-08-01).
- 2026-08-26Highest concurrent player count the census has recorded: 2 (2026-08-26).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Judgment: Apocalypse Survival SimulationMusic Inside: A VR Rhythm GameBronze Age - HD EditionCookies vs. ClausApsulov: End of GodsRhythia
Similarity via IGDB.