Home / Alternatives to Slice Merger Apps Like Slice Merger for iPhone and iPad
by Talha Ekren ★ 0.0 0 ratings Games Free Data updated 2026-09-06
Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Virede LLC
★ 4.7 44 ratings Games Free Data updated 2026-09-06
Loi Vo
★ 4.8 4 ratings Games Free Data updated 2026-09-17
Black Candy LLC
★ 4.8 64 ratings Games Free Data updated 2026-09-06
William Entriken
★ 4.3 18 ratings Entertainment Free Data updated 2026-09-09
Entity3 Limited
★ 3.4 7 ratings Games Free Data updated 2026-09-15
Y SEN BUON TO
★ 4.7 3 ratings Games Free Data updated 2026-09-06
Little Play
★ 4.4 29 ratings Games Free Data updated 2026-09-06
Exomind LTD
★ 4.7 59 ratings Games Free Data updated 2026-09-06
日波 丛
★ 4.7 11 ratings Games Free Data updated 2026-09-06
One Pixel Lab
★ 5.0 2 ratings Games Free Data updated 2026-09-06
Megarama Games Ltd
★ 4.7 59 ratings Games Free Data updated 2026-09-06
VNSTART SMART SOFTWARE COMPANY LIMITED
★ 4.0 24 ratings Games Free Data updated 2026-09-06
Adalgisa Raniolo
Find matching pairs before time expires.
The app presents a memory matching game with emoticons. Players tap cards to reveal icons and find matching pairs to clear the board before time expires.
★ 4.0 5 ratings Games Free Data updated 2026-11-02
Alexander Maslennikov
★ 3.4 24 ratings Games Free Data updated 2026-09-16
Vadim Gladkikh
★ 4.5 55 ratings Games Free Data updated 2026-09-06
乐迪 童
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Mesut Kilincaslan
Merge , create new species, win
Merge to create new species and progress toward the final legendary animal. Drag and drop to combine them. Play levels with strategic merging. Avoid filling the grid to prevent over. Track progress as evolve through merges.
★ 0.0 0 ratings Games Free Data updated 2026-09-06
APP CENTRAL LTD
★ 4.4 13 ratings Games Free Data updated 2026-09-06
Uova Oy
★ 4.8 10 ratings Games Free Data updated 2026-09-23
Location Games Limited
★ 4.7 11 ratings Games Free Data updated 2026-09-29
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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