
Eryi's Action
Xtal Sword · 2013-11-19
Modes: Single player · Perspectives: Side view
Releases: Dec 18, 2013 (Linux), Sep 09, 2012 (PC (Microsoft Windows))
One fine day, Eryi went to eat the melon that she had been SO looking forward to... but it was nowhere to be found! Then she noticed a note on the table. She picked it up and read: "Your melon looked delicious, so I took it. From Farta X" Fuming with rage, Eryi set out from her house to get her melon back from Farta.
One fine day, Eryi went to eat the melon that she had been SO looking forward to... but it was nowhere to be found! Then she noticed a note on the table. She picked it up and read: "Your melon looked delicious, so I took it. From Farta X" Fuming with rage, Eryi set out from her house to get her melon back from Farta.(Storyline via IGDB)
Health check
- · 19 reviews in the last 8 weeks (~2/week).
- · Review velocity down 5% vs the prior 8 weeks.
- · Top 14% of 25,896 Action games in the census by review count.
Review-multiple estimate from 1,392 total reviews — how this is computed.
All-time low: $1.24 at GreenManGaming (2014-04-03) · bundled 3×via IsThereAnyDeal
Review momentum
Completion
- · 74.6% of players earned Metal Dished
- · 16.6% of players earned Game Cleared
- · 1.9% of players earned Super Player
Global achievement rates from Steam.
Details
1 supported languages: English
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 4,781 | 2% | 32 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Player tags
2DCuteAnimeIndieActionCasualPuzzleAdventureDifficultPlatformer
Census log
- 2017-02-01First review activity on record (week of 2017-02-01).
- 2017-11-01Biggest review week on record: 17 reviews (week of 2017-11-01).
Computed from census-recorded observations only — dates are observation dates.
Players also track
So Many MeAkane the KunoichiMomodora IIIIndivisibleKingdom Rush Frontiers - Tower DefenseRökiCuisineerAvowed
Similarity via IGDB.