
JUJU
Flying Wild Hog · 2014-12-10
Modes: Single player, Multiplayer, Co-operative, Split screen · Perspectives: Side view
Releases: Dec 10, 2014 (PC (Microsoft Windows)), Dec 09, 2014 (PlayStation 3), Dec 09, 2014 (Xbox One), Dec 09, 2014 (Xbox 360)
Journey with the shaman panda, Juju, and his lizard sidekick, Peyo, as they embark upon a dangerous and mystical journey to save Juju's father and the world from an ancient evil. Run, bounce, chant, and battle humongous bosses with a friend or family member in this beautifully animated, lighthearted adventure.
Juju is an action-adventure game developed by Polish studio Flying Wild Hog, and published by Nordic Games for the Xbox 360 and by Flying Wild Hog for PlayStation 3 and Windows.
Health check
- · 6 reviews in the last 8 weeks (~1/week).
- · Review velocity down 33% vs the prior 8 weeks.
- · Top 38% of 25,142 Action games in the census by review count.
Review-multiple estimate from 122 total reviews — how this is computed.
Current store prices
| Microsoft Store | $14.99 |
Deal snapshots via CheapShark, refreshed daily.
All-time low: $3.99 at Steam (2015-12-22) · bundled 1×via IsThereAnyDeal
12-month high $14.99 · on sale 0 of 1 observed days · $11.00 above the all-time low (census price snapshots)
Review momentum
Price history
Attention
Completion
- · 70.3% of players earned Explorer
- · 25.4% of players earned Twenty Thousand Leagues
- · 3% of players earned Amberophobia
Global achievement rates from Steam.
Details
7 supported languages: English, French, Italian, German, Spanish - Spain, Polish, Portuguese - Portugal
Player tags
CuteIndieActionCasualAdventurePlatformerLocal Co-OpFamily Friendly
Census log
- 2014-12-01First review activity on record (week of 2014-12-01).
- 2014-12-01Biggest review week on record: 10 reviews (week of 2014-12-01).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Guns, Gore & CannoliGhost 1.0SUPER CHICKEN JUMPERTrine 4: The Nightmare PrinceDegrees of SeparationStrugglingIron MeatUnravel Two
Similarity via IGDB.