Home / Alternatives to つんで!メジェドさん Apps Like つんで!メジェドさん for iPhone and iPad
by i-enter ★ 0.0 0 ratings Games Free Data updated 2026-09-09
Ranked alternatives Showing 61–80 of 346 ranked alternatives.
HIDEKAZU ARAI
★ 4.8 4 ratings Games Free Data updated 2026-09-10
Masatomo Takano
★ 5.0 1 ratings Games Free Data updated 2026-09-06
Gakutetsu Takemura
★ 4.5 2 ratings Games Free Data updated 2026-09-21
YOSHIMOTO KOGYO CO.,LTD.
★ 5.0 7 ratings Games Free Data updated 2026-09-13
keepgamesimple LLC.
★ 4.7 3 ratings Games Free Data updated 2026-09-06
GOODROID,Inc.
★ 4.9 7 ratings Games Free Data updated 2026-09-10
Lynus Inc.
Curved serves and intense tennis rallies.
The app offers a knockout tennis game with curved serves and intense rallies. Players can increase abilities by winning matches, with up to 10 parameters and 7 types of serves.
★ 1.0 1 ratings Games Free Data updated 2026-09-19
Ayumu Shirasawa
★ 3.0 1 ratings Games Free Data updated 2026-09-11
ZEROONE Incorporated
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Shun Okuda
★ 0.0 0 ratings Games Free Data updated 2026-09-06
yuya tsubokura
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Shouji Yamaguchi
★ 0.0 0 ratings Games Free Data updated 2026-09-06
SOULGAME INFORMATION CO LTD
★ 2.2 4 ratings Games Free Data updated 2026-09-06
Kouki Saito
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Mika Takahashi
★ 4.9 8 ratings Games Free Data updated 2026-09-06
YUKA YAMASHITA
★ 5.0 1 ratings Games Free Data updated 2026-09-06
Masanori Shimizu
★ 0.0 0 ratings Games Free Data updated 2026-09-13
elementree co.,ltd.
★ 5.0 3 ratings Games Free Data updated 2026-09-09
Lynus Inc.
Four Player Mahjong Simulation Game
The app simulates four-player mahjong with CPU opponents that utilize tactics like analyzing discards and identifying dangerous tiles. Players can track various statistics and compete for high scores.
★ 0.0 0 ratings Games Free Data updated 2026-10-03
Yoshihiro Tanabe
★ 0.0 0 ratings Games Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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