Home / Alternatives to Monster Squad Rush Apps Like Monster Squad Rush for iPhone and iPad Catch eggs, train monsters, battle rivals
Catch monsters by collecting eggs and overcoming obstacles. Train and evolve monsters to boost their power. Battle rivals in team fights and expand your roster. Build and customize a team for competitive battles.
by TapNation ★ 4.7 49,165 ratings Games Free Data updated 2026-09-06
Monster Squad Rush screenshots Ranked alternatives Showing 501–520 of 1,000 ranked alternatives.
David Atkinson
★ 0.0 0 ratings Games Free Data updated 2026-09-06
OMICRON BILISIM HIZMETLERI TICARET LIMITED SIRKETI
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Nicholas Gorman
★ 4.2 18 ratings Games $9.99 Data updated 2026-09-06
Nguyen Quoc Thai
★ 0.0 0 ratings Games Free Data updated 2026-09-06
DongSik Moon
★ 0.0 0 ratings Games Free Data updated 2026-09-21
Texas PFCG Aplicativos Ltda
★ 4.5 13 ratings Games Free Data updated 2026-09-11
MOBIRIX
★ 4.5 24 ratings Games Free Data updated 2026-09-06
Hitoshi Yasui
★ 4.5 33 ratings Games Free Data updated 2026-09-11
Ferhat Bicici
★ 1.0 1 ratings Games Free Data updated 2026-09-06
Kotobuki Solution Co., Ltd.
★ 4.3 22 ratings Games Free Data updated 2026-09-12
Beijing Budongrushan Technology Co., Ltd.
★ 4.4 8 ratings Games Free Data updated 2026-09-25
Shifeng Excellence (Shenzhen) Network Technology Co., LTD
★ 4.9 10 ratings Games Free Data updated 2026-09-06
Pruettanon Rattanalaoo
★ 0.0 0 ratings Games Free Data updated 2026-09-11
MirageWave Games Network Technology Co., Limited
★ 4.0 43 ratings Games Free Data updated 2026-09-06
TO THE MOON inc.
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Adknown Inc.
★ 2.0 1 ratings Games Free Data updated 2026-09-06
Hirokazu Uno
★ 0.0 0 ratings Games Free Data updated 2026-09-06
FUNNYEVE Corporation
★ 2.2 8 ratings Games Free Data updated 2026-09-06
Yso Corp
★ 4.0 9 ratings Games Free Data updated 2026-09-06
勇锐 任
★ 4.2 32 ratings Games Free Data updated 2026-09-13
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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