What Forgetful Owl actually does (from store listing)
Dynamic game of matching pictures for kids, children and adults! Requires good reflexes. Children will love it! With multiplayer mode!
Features:
★ physics engine,
★ 28 Water levels
★ 28 Ice levels
★ 28 Earth levels
★ 28 Christmas levels
★ local multiplayer
★ additional Classic levels
★ collect stars and try to beat your highscore,
★ three difficulty levels,
★ funny pictures and animated creatures that help or make matters worse, children will love it!
★ lives,
★ fun music,
★ mult…
Dynamic game of matching pictures for kids, children and adults! Requires good reflexes. Children will love it! With multiplayer mode!
Features:
★ physics engine,
★ 28 Water levels
★ 28 Ice levels
★ 28 Earth levels
★ 28 Christmas levels
★ local multiplayer
★ additional Classic levels
★ collect stars and try to beat your highscore,
★ three difficulty levels,
★ funny pictures and animated creatures that help or make matters worse, children will love it!
★ lives,
★ fun music,
★ multilayered levels,
★ fish and birds making things a little harder and a pigeon that saves drowning tiles for you,
★ dragon that eats the tile - you have to find the pair for it before the dragon spits it,
★ carnivorous plant that eats images
★ mole that throws tiles off the screen
The game uses physics engine and adds multiple hurdles and aids to spice up the classical game of finding pairs of pictures. It's suitable for all ages. Find all pairs before they drown in the rising water or are pushed out of screen by fish.
If you found a bug or it doesn't work on your device - please contact us, we'll fix it as fast as we can. If you comment about problems - please write what device do you use - so we can check and correct any bugs!
The game uses libGDX and box2D libraries.
Comparable Android apps
The five apps in Puzzle with the closest revenue to Forgetful Owl. Click any to see its detail page.
Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag.
The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR.
Every number on this page comes from public APIs and bumetric's own snapshot history.
Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors.
See also the live data on Forgetful Owl's tracker page for current rating, reviews and snapshot timeline.
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